diff --git a/NOTICE.md b/NOTICE.md index f3ae6b8..4bf7cab 100644 --- a/NOTICE.md +++ b/NOTICE.md @@ -3,9 +3,10 @@ The page structure was informed by [logicrw/awesome-jev-projects](https://github.com/logicrw/awesome-jev-projects), which is MIT licensed. The projects in this BeatAPI edition were independently -selected from an existing JEV X research batch, with original X cases, direct -project repositories, fixed-commit evidence, descriptions, and schema maintained -by BeatAPI. +selected through JEV X research, GitHub repository and code search, catalogue +cross-checking, and direct source inspection. Original discovery sources, direct +project repositories, fixed-commit evidence, descriptions, and schema are +maintained by BeatAPI. Each listed project remains governed by its own license. Inclusion means only that the linked source showed a Jev or TypeSafe integration at the captured diff --git a/README.ja.md b/README.ja.md index 8055176..6589d3b 100644 --- a/README.ja.md +++ b/README.ja.md @@ -5,7 +5,7 @@

Awesome JEV ギャラリーを見る · 注目プロジェクト · - 全 148 プロジェクト · + 全 171 プロジェクト · JSON カタログ · English · 简体中文 @@ -31,10 +31,10 @@ - 148 - 34 + 171 + 48 10 - 2026-09-21 + 2026-09-22 @@ -44,15 +44,15 @@

カテゴリから探す

- ブラウザ・PC 操作 · 14 · - SDK・フレームワーク · 23 · - ルーティング · 14 · - オープンモデル · 17 · - 検索・データ · 9
- 安全性・レビュー · 12 · - Agent ワークフロー · 11 · - UI・自動化 · 8 · - 開発者ツール · 27 · + ブラウザ・PC 操作 · 15 · + SDK・フレームワーク · 28 · + ルーティング · 16 · + オープンモデル · 20 · + 検索・データ · 14
+ 安全性・レビュー · 13 · + Agent ワークフロー · 14 · + UI・自動化 · 9 · + 開発者ツール · 29 · 業務特化ツール · 13

@@ -61,43 +61,44 @@ | | | | --- | --- | | [![Jev Ultrafast リポジトリ](https://opengraph.githubassets.com/awesome-jev-20260920/browser-use/jev-ultrafast)](https://github.com/browser-use/jev-ultrafast) | [![LiteLLM リポジトリ](https://opengraph.githubassets.com/awesome-jev-20260920/BerriAI/litellm)](https://github.com/BerriAI/litellm) | -| **[Jev Ultrafast](https://github.com/browser-use/jev-ultrafast)** · ブラウザ・PC 操作 · 13.8K Star
1 回の JEV リクエストでブラウザ操作と対象 DOM を選択します。
[オリジナル事例 · 294 万表示](https://x.com/gregpr07/status/2100411066966749359) · [固定コミットの根拠](https://github.com/browser-use/jev-ultrafast/blob/1231850a0bf1a0c0341fe408ef1668dbbfdfac46/jev_ultrafast/model.py) | **[LiteLLM · JEV Router](https://github.com/BerriAI/litellm)** · ルーティング · 59.3K Star
バックエンドモデルを選ぶ前にリクエストの複雑さを分類します。
[固定コミットの根拠](https://github.com/BerriAI/litellm/blob/56116079c8022da0e8f7ff9ccb017ad5aca5aed2/litellm/router_strategy/complexity_router/jev_classifier.py#L70) | +| **[Jev Ultrafast](https://github.com/browser-use/jev-ultrafast)** · ブラウザ・PC 操作 · 16.3K Star
1 回の JEV リクエストでブラウザ操作と対象 DOM を選択します。
[オリジナル事例 · 294 万表示](https://x.com/gregpr07/status/2100411066966749359) · [固定コミットの根拠](https://github.com/browser-use/jev-ultrafast/blob/1231850a0bf1a0c0341fe408ef1668dbbfdfac46/jev_ultrafast/model.py) | **[LiteLLM · JEV Router](https://github.com/BerriAI/litellm)** · ルーティング · 59.4K Star
バックエンドモデルを選ぶ前にリクエストの複雑さを分類します。
[固定コミットの根拠](https://github.com/BerriAI/litellm/blob/56116079c8022da0e8f7ff9ccb017ad5aca5aed2/litellm/router_strategy/complexity_router/jev_classifier.py#L70) | | [![LangChain リポジトリ](https://opengraph.githubassets.com/awesome-jev-20260920/langchain-ai/langchain)](https://github.com/langchain-ai/langchain) | [![Vercel AI SDK リポジトリ](https://opengraph.githubassets.com/awesome-jev-20260920/vercel/ai)](https://github.com/vercel/ai) | | **[LangChain · TypeSafe](https://github.com/langchain-ai/langchain)** · SDK 連携 · 146.8K Star
Python ワークフローで二値・分類・順序付き評価を扱います。
[固定コミットの根拠](https://github.com/langchain-ai/langchain/blob/eba445b7563d1709427bd8072892975a6ea59fdc/libs/partners/typesafe/langchain_typesafe/classifier.py) | **[Vercel AI SDK · TypeSafe](https://github.com/vercel/ai)** · SDK 連携 · 26.9K Star
choice、score、yes/no を共通の evaluate インターフェースへ変換します。
[固定コミットの根拠](https://github.com/vercel/ai/blob/73ec7015edd4f04ca9144ce93a8a037a731e5db8/packages/typesafe-ai/src/typesafe-ai-evaluation-model.ts) | | [![Laya リポジトリ](https://opengraph.githubassets.com/awesome-jev-20260920/NandhaKishorM/laya)](https://github.com/NandhaKishorM/laya) | [![jegrep リポジトリ](https://opengraph.githubassets.com/awesome-jev-20260920/can1357/jegrep)](https://github.com/can1357/jegrep) | -| **[Laya](https://github.com/NandhaKishorM/laya)** · オープンモデル · 6.7K stars
多言語 System 1 の型付き判断を 1 回の前向き計算で行い、チェックポイントをルーティングします。
[Hugging Face モデル](https://huggingface.co/convaiinnovations/laya) · [固定コミット根拠](https://github.com/NandhaKishorM/laya/blob/d113dca2512fb3eaca313534bc54c7162d87c1d4/README.md)| +| **[Laya](https://github.com/NandhaKishorM/laya)** · オープンモデル · 11.5K stars
多言語 System 1 の型付き判断を 1 回の前向き計算で行い、チェックポイントをルーティングします。
[Hugging Face モデル](https://huggingface.co/convaiinnovations/laya) · [固定コミット根拠](https://github.com/NandhaKishorM/laya/blob/d113dca2512fb3eaca313534bc54c7162d87c1d4/README.md)| | [![Cua リポジトリ](https://opengraph.githubassets.com/awesome-jev-20260920/trycua/cua)](https://github.com/trycua/cua) | [![Agentgateway リポジトリ](https://opengraph.githubassets.com/awesome-jev-20260920/agentgateway/agentgateway)](https://github.com/agentgateway/agentgateway) | -| **[Cua · JEV Use](https://github.com/trycua/cua)** · ブラウザ・PC 操作 · 25.4K Star
DOM や画面領域の説明から次のアクション ID を選択します。
[固定コミットの根拠](https://github.com/trycua/cua/blob/83f142c4290a0f7d9ed545ae8532858c6e4f8145/libs/cua-driver/examples/jev-use/python/jev_adapter.py#L11) | **[Agentgateway · JEV Guardrail](https://github.com/agentgateway/agentgateway)** · 安全性・レビュー · 5.0K Star
ゲートウェイで脱獄、有害コンテンツ、秘密情報漏えいを判定します。
[固定コミットの根拠](https://github.com/agentgateway/agentgateway/blob/6b0270efd25b5255932943e48b5ca47583d3ad28/examples/llm-guardrail-jev/guardrail.ts) | +| **[Cua · JEV Use](https://github.com/trycua/cua)** · ブラウザ・PC 操作 · 25.8K Star
DOM や画面領域の説明から次のアクション ID を選択します。
[固定コミットの根拠](https://github.com/trycua/cua/blob/83f142c4290a0f7d9ed545ae8532858c6e4f8145/libs/cua-driver/examples/jev-use/python/jev_adapter.py#L11) | **[Agentgateway · JEV Guardrail](https://github.com/agentgateway/agentgateway)** · 安全性・レビュー · 5.0K Star
ゲートウェイで脱獄、有害コンテンツ、秘密情報漏えいを判定します。
[固定コミットの根拠](https://github.com/agentgateway/agentgateway/blob/6b0270efd25b5255932943e48b5ca47583d3ad28/examples/llm-guardrail-jev/guardrail.ts) | | [![NewsJack リポジトリ](https://opengraph.githubassets.com/awesome-jev-20260920/elvisun/newsjack)](https://github.com/elvisun/newsjack) | [![QuantDinger リポジトリ](https://opengraph.githubassets.com/awesome-jev-20260920/OpenByteInc/QuantDinger)](https://github.com/OpenByteInc/QuantDinger) | -| **[NewsJack](https://github.com/elvisun/newsjack)** · Agent ワークフロー · 1.3K Star
大量のニュースを先に絞り込み、選ばれた機会だけを Agent が処理します。
[オリジナル事例 · 58.3 万表示](https://x.com/elvissun/status/2100951347080421409) · [固定コミットの根拠](https://github.com/elvisun/newsjack/tree/092d882fc69912622f620c50eb493afe625f99dc/demos/news-desk-dealer) | **[QuantDinger · JEV Gate](https://github.com/OpenByteInc/QuantDinger)** · 業務特化ツール · 11.9K Star
一部の実取引エントリー前に、根拠とリスクの判断ゲートを追加します。
[固定コミットの根拠](https://github.com/OpenByteInc/QuantDinger/blob/12c04eb2cdb8a9d08dc84502f5261ec3f1c56bf7/backend_api_python/app/services/ai_decision_filter.py) | +| **[NewsJack](https://github.com/elvisun/newsjack)** · Agent ワークフロー · 1.3K Star
大量のニュースを先に絞り込み、選ばれた機会だけを Agent が処理します。
[オリジナル事例 · 58.3 万表示](https://x.com/elvissun/status/2100951347080421409) · [固定コミットの根拠](https://github.com/elvisun/newsjack/tree/092d882fc69912622f620c50eb493afe625f99dc/demos/news-desk-dealer) | **[QuantDinger · JEV Gate](https://github.com/OpenByteInc/QuantDinger)** · 業務特化ツール · 12.0K Star
一部の実取引エントリー前に、根拠とリスクの判断ゲートを追加します。
[固定コミットの根拠](https://github.com/OpenByteInc/QuantDinger/blob/12c04eb2cdb8a9d08dc84502f5261ec3f1c56bf7/backend_api_python/app/services/ai_decision_filter.py) |

フィルターと詳しい説明付きで見る →

-## 全 148 プロジェクト +## 全 171 プロジェクト -### ブラウザ・PC 操作 (14) +### ブラウザ・PC 操作 (15) -- **[Cua · JEV Use](https://github.com/trycua/cua)** · 25.4K Star — Cua Driver の観察と実行を、制限された JEV の選択肢と組み合わせたコンピューター使用例。 [根拠](https://github.com/trycua/cua/blob/83f142c4290a0f7d9ed545ae8532858c6e4f8145/libs/cua-driver/examples/jev-use/python/jev_adapter.py#L11) -- **[Jev Ultrafast](https://github.com/browser-use/jev-ultrafast)** · 13.8K Star — JEV を使用してアクションと一致する DOM 要素を選択し、入力テキストが必要な場合にのみテキスト モデルを呼び出すブラウザ エージェント。 [根拠](https://github.com/browser-use/jev-ultrafast/blob/1231850a0bf1a0c0341fe408ef1668dbbfdfac46/jev_ultrafast/model.py) +- **[Cua · JEV Use](https://github.com/trycua/cua)** · 25.8K Star — Cua Driver の観察と実行を、制限された JEV の選択肢と組み合わせたコンピューター使用例。 [根拠](https://github.com/trycua/cua/blob/83f142c4290a0f7d9ed545ae8532858c6e4f8145/libs/cua-driver/examples/jev-use/python/jev_adapter.py#L11) +- **[Jev Ultrafast](https://github.com/browser-use/jev-ultrafast)** · 16.3K Star — JEV を使用してアクションと一致する DOM 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Browser](https://github.com/jkudish/jev-browser)** · 231 Star — タスクと URL からブラウザを起動し、最終ページ、スクリーンショット、アクション トレースを返します。 [根拠](https://github.com/jkudish/jev-browser/blob/8d90c51bedbe7cd07596bfaa532ded019a31d2a8/src/navigate.ts#L1) +- **[JEV Voice Browser](https://github.com/moritzkremb/jev-voice-browser)** · 216 Star — 増分音声トランスクリプトを JEV に送信することで、Playwright ブラウザを制御します。 [根拠](https://github.com/moritzkremb/jev-voice-browser/blob/054db0f3dbf537af63a8117632d3f941ccd520e1/src/jev.js#L123) +- **[Arc CUA · TypeSafe Policy](https://github.com/shhivv/arc-cua)** · 127 Star — TypeSafe Policy 実装を備えた高速 Computer Use アクション層。 [根拠](https://github.com/shhivv/arc-cua/blob/6d47ce6c906d7d8586d3553e277c1c3611c4f6af/src/arc_cua/policies/typesafe.py) +- **[JEV Use](https://github.com/savka777/jev-use)** · 86 Star — 視覚モデルなしで Accessibility 要素を操作する macOS Computer Use ツール。 [根拠](https://github.com/savka777/jev-use/blob/8907f85354addfa3d2b78f6a462087e4c73310b8/README.md) +- **[TypeSafe Adblock](https://github.com/realZachi/typesafe-adblock)** · 68 Star — 候補となる DOM 要素が広告であるかどうかを JEV に尋ね、それらをハイライト表示または削除する実験的な Chrome 拡張機能。 [根拠](https://github.com/realZachi/typesafe-adblock/blob/7e067d243d87b7fe4d511653c0ddcd77b9beee18/src/typesafe.js) +- **[JEV Browser](https://github.com/Ying-Kai-Liao/jev-browser)** · 67 Star — LLM の計画と JEV の操作を組み合わせるブラウザー自動化ライブラリ、CLI、MCP サーバー。 [根拠](https://github.com/Ying-Kai-Liao/jev-browser/blob/578cff6e701a131733d03256078bb559a45ad188/src/jev.mjs) ↑ カテゴリへ戻る -### SDK・フレームワーク (23) +### SDK・フレームワーク (28) - **[LangChain · TypeSafe](https://github.com/langchain-ai/langchain)** · 146.8K Star — Python LangChain ワークフロー用のオプションの JEV 分類子統合。 [根拠](https://github.com/langchain-ai/langchain/blob/eba445b7563d1709427bd8072892975a6ea59fdc/libs/partners/typesafe/langchain_typesafe/classifier.py) - **[Composio · TypeSafe Provider](https://github.com/ComposioHQ/composio)** · 30.3K Star — JEV を使ってツールと許可済みの引数候補を選ぶ TypeSafe プロバイダー。 [根拠](https://github.com/ComposioHQ/composio/blob/4b5920bf7aa55c8a44657b060d4bd25ce7b13a9a/ts/packages/providers/typesafe/src/decide.ts) @@ -106,181 +107,203 @@ - **[Eliza · TypeSafe Client](https://github.com/elizaOS/eliza)** · 19.4K Star — Eliza エージェント オペレーティング システムのオプションの TypeSafe HTTP アダプター。 [根拠](https://github.com/elizaOS/eliza/blob/ebc808e3a67fb941e29153d89fc896524d32fe3c/packages/agent/src/services/typesafe/client.ts) - **[LangChain.js · TypeSafe](https://github.com/langchain-ai/langchainjs)** · 18.2K Star — JavaScript の LangChain ワークフロー向け TypeSafeClassifier 連携。 [根拠](https://github.com/langchain-ai/langchainjs/blob/206d8b992bcf90ce7d46f2158f1ad85fc1d826c0/libs/providers/langchain-typesafe/src/classifier.ts) - **[Rig · TypeSafe Crate](https://github.com/0xPlaygrounds/rig)** · 8.7K Star — JEV の質問と回答を Rust タイプで表現するための実験的な Rust クレート。 [根拠](https://github.com/0xPlaygrounds/rig/blob/2d16c1b25f6749b3a2cd841beddf767106495069/crates/rig-typesafeai/src/wire.rs#L40) +- **[Bifrost · TypeSafe Provider](https://github.com/maximhq/bifrost)** · 8.2K Star — Bifrost は共通の Decision 操作を通じて TypeSafe をネイティブ Provider として公開します。 [根拠](https://github.com/maximhq/bifrost/blob/40c3f7ee3a1a4277c5b269b850ca7725d419907f/core/providers/typesafe/typesafe.go) +- **[GPT-Load · JEV Provider](https://github.com/tbphp/gpt-load)** · 6.9K Star — セルフホスト AI ゲートウェイに、JEV 専用チャネルとネイティブ Decisions ルートを搭載。 [根拠](https://github.com/tbphp/gpt-load/blob/93502ced3a650018a35ed76c54573e90742b8ccc/internal/channel/modules/jev.go) +- **[Open Connector · TypeSafe](https://github.com/oomol-lab/open-connector)** · 5.9K Star — Open Connector は Provider Runtime 経由で TypeSafe 評価を公開します。 [根拠](https://github.com/oomol-lab/open-connector/blob/4e6d8533ae436cba4781b6fb69d1bf31e5fb5ffe/src/providers/typesafe_ai/runtime.ts) +- **[Kiln · JEV Adapter](https://github.com/Kiln-AI/Kiln)** · 5.1K Star — Kiln は互換 JSON Schema を JEV 質問へ変換し、構造化された単発タスクを実行します。 [根拠](https://github.com/Kiln-AI/Kiln/blob/5992e2e51ec6782fce33f277145954ba3ae8467e/libs/core/kiln_ai/adapters/model_adapters/jev_adapter.py) - **[Ax · TypeSafe Client](https://github.com/ax-llm/ax)** · 2.9K Star — ブール型、有限クラス、およびネイティブ JEV 署名の TypeSafe 統合。 [根拠](https://github.com/ax-llm/ax/blob/5c43344f9ef3016db576fa2c3b59d48ef21b4d71/src/ax/ai/typesafe/client.ts#L1) +- **[http4k · TypeSafe Client](https://github.com/http4k/http4k)** · 2.8K Star — TypeSafe System One API 向けの型付き Kotlin クライアントと Fake 実装。 [根拠](https://github.com/http4k/http4k/blob/528ef94c9533b42be9010396bd1828ed1c84c9d2/connect/ai/typesafe/client/src/main/kotlin/org/http4k/connect/typesafe/action/SystemOne.kt) - **[Vellum Assistant · JEV](https://github.com/vellum-ai/vellum-assistant)** · 1.3K Star — 会話状態と明示的な質問を送信するオプションの JEV プロバイダー。 [根拠](https://github.com/vellum-ai/vellum-assistant/blob/ee5ba342719e72b67698c2e1a4a78837321d0b1d/assistant/src/providers/jev/client.ts) -- **[Req LLM](https://github.com/agentjido/req_llm)** · 580 Star — Elixir の ReqLLM 評価インターフェイスから JEV を呼び出す TypeSafe プロバイダー。 [根拠](https://github.com/agentjido/req_llm/blob/9cb0ee7a0fea5f3520fc953911d352c93193615e/README.md) -- **[Simple JEV](https://github.com/featherless-ai/simple-jev)** · 428 Star — 専用の分類ヘッドを学習せずに、公開 LLM エンドポイントを JEV 互換の分類サービスへ変換するアダプター。 [根拠](https://github.com/featherless-ai/simple-jev/blob/0dd5396ffce671ab7c4bfc031506d8e558cf8d23/demos/jevpilot/src/simple-jev-api.js#L1-L85) -- **[Classifier.dev](https://github.com/mrmps/classifier-dev)** · 396 Star — JEV を主要な型付き判断バックエンドに使うゼロショット分類サービス。 [根拠](https://github.com/mrmps/classifier-dev/blob/33ca63816f2bc7e93c3f2d0715f7896500370739/src/jev.ts) +- **[Req LLM](https://github.com/agentjido/req_llm)** · 581 Star — Elixir の ReqLLM 評価インターフェイスから JEV を呼び出す TypeSafe プロバイダー。 [根拠](https://github.com/agentjido/req_llm/blob/9cb0ee7a0fea5f3520fc953911d352c93193615e/README.md) +- **[Simple JEV](https://github.com/featherless-ai/simple-jev)** · 458 Star — 専用の分類ヘッドを学習せずに、公開 LLM エンドポイントを JEV 互換の分類サービスへ変換するアダプター。 [根拠](https://github.com/featherless-ai/simple-jev/blob/0dd5396ffce671ab7c4bfc031506d8e558cf8d23/demos/jevpilot/src/simple-jev-api.js#L1-L85) +- **[Classifier.dev](https://github.com/mrmps/classifier-dev)** · 406 Star — JEV を主要な型付き判断バックエンドに使うゼロショット分類サービス。 [根拠](https://github.com/mrmps/classifier-dev/blob/33ca63816f2bc7e93c3f2d0715f7896500370739/src/jev.ts) - **[Instructor Php](https://github.com/cognesy/instructor-php)** · 327 Star — Instructor PHP の Polyglot モジュール内の TypeSafe Decision ドライバー。 [根拠](https://github.com/cognesy/instructor-php/blob/bb1160ce2360dcf1434788c46ee97809fe782ea3/README.md) +- **[Openjev](https://github.com/razorback16/openjev)** · 286 Star — JEV API と互換性のある独立型 System One 意思決定サーバーで、オープンな DiffusionGemma モデルを実行します。 [根拠](https://github.com/razorback16/openjev/blob/91d5005effcf8cc0ecccaa9538ceabbb130fef59/openjev/api.py) - **[Openai Scala Client](https://github.com/cequence-io/openai-scala-client)** · 248 Star — 複数の AI プロバイダーをサポートする Scala クライアントの専用 TypeSafe モジュール。 [根拠](https://github.com/cequence-io/openai-scala-client/blob/cfabe8842344da713615d0121a7804840649eb46/README.md) -- **[Openjev](https://github.com/razorback16/openjev)** · 245 Star — JEV API と互換性のある独立型 System One 意思決定サーバーで、オープンな DiffusionGemma モデルを実行します。 [根拠](https://github.com/razorback16/openjev/blob/91d5005effcf8cc0ecccaa9538ceabbb130fef59/openjev/api.py) -- **[Pi Fabric](https://github.com/monotykamary/pi-fabric)** · 241 Star — Pi のプログラム可能なランタイムには、状態の監視、意思決定、制限されたアクションの実行のためのオプションの JEV ループが含まれています。 [根拠](https://github.com/monotykamary/pi-fabric/blob/2e5fcdd94cc364445b115756edefcaab24f68928/README.md) -- **[System One Adapter (Python)](https://github.com/typesafe-ai/system-one-adapter-python)** · 218 Star — 通常の LLM API で System One 呼び出しを受ける、TypeSafeClient 差し替えアダプタ。 [根拠](https://github.com/typesafe-ai/system-one-adapter-python/blob/adffc2eab300a4fa3c0e92252d4ffd6ceaa53700/src/system_one_adapter/_client.py) -- **[TypeSafe SDK Js](https://github.com/typesafe-ai/typesafe-sdk-js)** · 196 Star — TypeSafe によって公開された JavaScript および TypeScript SDK (型指定された JEV リクエストと回答を含む)。 [根拠](https://github.com/typesafe-ai/typesafe-sdk-js/blob/66880ccded6cb642dc1809620c2b108c33730214/README.md) -- **[TypeSafe SDK Python](https://github.com/typesafe-ai/typesafe-sdk-python)** · 171 Star — JEV System One の同期および非同期クライアントを備えた公式 TypeSafe Python SDK、および質問と回答のタイプ。 [根拠](https://github.com/typesafe-ai/typesafe-sdk-python/blob/2ce5c65f13646cab6e6f782328194c9d85f3300a/src/typesafe_sdk/_core/client/sync/client.py#L206-L221) -- **[Runline](https://github.com/Michaelliv/runline)** · 162 Star — Runline Agent JavaScript で呼び出し可能なアクションとして JEV 決定を公開する TypeSafe プラグイン。 [根拠](https://github.com/Michaelliv/runline/blob/6bdddfa82cd95b6b9a07e57fd93a271ae83a0d1b/README.md) +- **[Pi Fabric](https://github.com/monotykamary/pi-fabric)** · 244 Star — Pi のプログラム可能なランタイムには、状態の監視、意思決定、制限されたアクションの実行のためのオプションの JEV ループが含まれています。 [根拠](https://github.com/monotykamary/pi-fabric/blob/2e5fcdd94cc364445b115756edefcaab24f68928/README.md) +- **[System One Adapter (Python)](https://github.com/typesafe-ai/system-one-adapter-python)** · 243 Star — 通常の LLM API で System One 呼び出しを受ける、TypeSafeClient 差し替えアダプタ。 [根拠](https://github.com/typesafe-ai/system-one-adapter-python/blob/adffc2eab300a4fa3c0e92252d4ffd6ceaa53700/src/system_one_adapter/_client.py) +- **[TypeSafe SDK Js](https://github.com/typesafe-ai/typesafe-sdk-js)** · 214 Star — TypeSafe によって公開された JavaScript および TypeScript SDK (型指定された JEV リクエストと回答を含む)。 [根拠](https://github.com/typesafe-ai/typesafe-sdk-js/blob/66880ccded6cb642dc1809620c2b108c33730214/README.md) +- **[TypeSafe SDK Python](https://github.com/typesafe-ai/typesafe-sdk-python)** · 188 Star — JEV System One の同期および非同期クライアントを備えた公式 TypeSafe Python SDK、および質問と回答のタイプ。 [根拠](https://github.com/typesafe-ai/typesafe-sdk-python/blob/2ce5c65f13646cab6e6f782328194c9d85f3300a/src/typesafe_sdk/_core/client/sync/client.py#L206-L221) +- **[Runline](https://github.com/Michaelliv/runline)** · 163 Star — Runline Agent JavaScript で呼び出し可能なアクションとして JEV 決定を公開する TypeSafe プラグイン。 [根拠](https://github.com/Michaelliv/runline/blob/6bdddfa82cd95b6b9a07e57fd93a271ae83a0d1b/README.md) - **[AI](https://github.com/hackclub/ai)** · 133 Star — Hack Club AI プロキシの JEV 転送エンドポイント。認証、制限、使用状況ログを使用します。 [根拠](https://github.com/hackclub/ai/blob/a76ea2cb159f707a60107935a5b2e0dbdc7455f5/README.md) - **[Effect Agent](https://github.com/danieljvdm/effect-agent)** · 121 Star — 型付き質問セットと任意のモデル選択に対応する、Effect Agent 向け TypeSafe 意思決定プロバイダー。 [根拠](https://github.com/danieljvdm/effect-agent/blob/88005e497e9b627eeb16d670f278903c57601da9/README.md) -- **[Advocaat](https://github.com/pithings/advocaat)** · 88 Star — 同じデータについて複数の型付き質問を JEV に送るための、小さな TypeScript クライアント。 [根拠](https://github.com/pithings/advocaat/blob/bc46287fc1102b95852a81d679c6e34a2c44f4a2/README.md) +- **[Advocaat](https://github.com/pithings/advocaat)** · 89 Star — 同じデータについて複数の型付き質問を JEV に送るための、小さな TypeScript クライアント。 [根拠](https://github.com/pithings/advocaat/blob/bc46287fc1102b95852a81d679c6e34a2c44f4a2/README.md) ↑ カテゴリへ戻る -### ルーティング (14) +### ルーティング (16) -- **[LiteLLM · JEV Router](https://github.com/BerriAI/litellm)** · 59.3K Star — LiteLLM は、複雑さベースのモデル ルーター内で JEV を使用できます。 [根拠](https://github.com/BerriAI/litellm/blob/56116079c8022da0e8f7ff9ccb017ad5aca5aed2/litellm/router_strategy/complexity_router/jev_classifier.py#L70) -- **[Oh My Pi · JEV Judgments](https://github.com/can1357/oh-my-pi)** · 32.2K Star — 境界の明確なワークフロー判断に、任意の TypeSafe 意思決定プロバイダーを使えるコーディング Agent。 [根拠](https://github.com/can1357/oh-my-pi/blob/78b753124d11f8dd3ae73e2524125890ff7c977e/packages/ai/src/judgment/typesafe.ts#L4) +- **[LiteLLM · JEV Router](https://github.com/BerriAI/litellm)** · 59.4K Star — LiteLLM は、複雑さベースのモデル ルーター内で JEV を使用できます。 [根拠](https://github.com/BerriAI/litellm/blob/56116079c8022da0e8f7ff9ccb017ad5aca5aed2/litellm/router_strategy/complexity_router/jev_classifier.py#L70) +- **[Oh My Pi · JEV Judgments](https://github.com/can1357/oh-my-pi)** · 32.4K Star — 境界の明確なワークフロー判断に、任意の TypeSafe 意思決定プロバイダーを使えるコーディング Agent。 [根拠](https://github.com/can1357/oh-my-pi/blob/78b753124d11f8dd3ae73e2524125890ff7c977e/packages/ai/src/judgment/typesafe.ts#L4) - **[OpenChamber · JEV Router](https://github.com/openchamber/openchamber)** · 10.2K Star — モデルを選択する前にメッセージを分類するオプションの自動モデル ルーター。 [根拠](https://github.com/openchamber/openchamber/blob/614d7f76e581a132a86575c03d3fa9aad5e624b6/packages/web/server/lib/routing/jev.js) - **[Firstmate · JEV Dispatch](https://github.com/kunchenguid/firstmate)** · 6.9K Star — JEV を使用してタスクの概要をルールに一致させることができるエージェント クルー ディスパッチャー。 [根拠](https://github.com/kunchenguid/firstmate/blob/4812db801628040b609dc25a2a8a91ed5efac662/bin/fm-dispatch-resolve.sh) -- **[Atomic](https://github.com/bastani-inc/atomic)** · 809 Star — ルーティングなど、範囲を限定した構造化選択に使える Atomic コーディング Agent の任意 JEV バックエンド。 [根拠](https://github.com/bastani-inc/atomic/blob/33ca4ccb5f39488aeba67c0212a52a31cd14059d/packages/coding-agent/src/core/structured-output/jev.ts) -- **[Vexjoy Agent](https://github.com/notque/vexjoy-agent)** · 421 Star — VexJoy リクエストを専門エージェント、スキル、ワークフローに照合するオプションの JEV ルーティング パス。 [根拠](https://github.com/notque/vexjoy-agent/blob/ab51ee7da567e84f72f76d73b6e7b83cec5ef060/README.md) -- **[Hermes JEV Skills](https://github.com/kerpopule/hermes-jev-skills)** · 335 Star — Hermes エージェント向けに、JEV 駆動のルーティング・記憶・圧縮・Skill 選択・PC/ブラウザ操作。 [根拠](https://github.com/kerpopule/hermes-jev-skills/blob/a5d89014fbeca5102c5e7ccd3915afcd856505d8/jevkit/choose.py) -- **[WrongStack](https://github.com/WrongStack/WrongStack)** · 329 Star — WrongStack の専門 Agent から担当を選ぶための、任意で使える JEV ディスパッチ分類器。 [根拠](https://github.com/WrongStack/WrongStack/blob/4cf97c0aa4f855751949ee8e99c719d06f4c26e0/README.md) -- **[JEV Router](https://github.com/gargpratyush/jev-router)** · 283 Star — Claude Code および CLI プロキシ。JEV にタスクの複雑さをスコアリングし、アカウントの利用可能なセットからモデルを選択するよう依頼します。 [根拠](https://github.com/gargpratyush/jev-router/blob/38da6b84ea01241bfc41fbddc0928d0f40a703f0/src/policy.mjs#L1-L63) -- **[Skillbox](https://github.com/kitze/skillbox)** · 220 Star — オプションの JEV 推奨事項を備えた自己ホスト型のバージョン管理されたエージェント スキル ライブラリ。 [根拠](https://github.com/kitze/skillbox/blob/d83ba4ecd254c8dfa6a759d1feb5141384e26a9e/README.md) -- **[JEV Codex Router](https://github.com/0xNatoshi/jev-codex-router)** · 125 Star — JEV で Codex の各ターンを分類し、ローカルルールに従ってモデル、推論強度、速度モードを選びます。 [根拠](https://github.com/0xNatoshi/jev-codex-router/blob/8292b519659280884627a962c826ac7721136a64/server/jev_server.py) -- **[JevRouter](https://github.com/BillionsBobby/JevRouter)** · 125 Star — モデル、ツール、サブ Agent 向けの軽量 JEV ルーター。 [根拠](https://github.com/BillionsBobby/JevRouter/blob/715970774ae8070e958e83ac9b1a780b32a9184c/src/provider.ts) -- **[Grok Bot JEV](https://github.com/Bodila51/grok-bot-jev)** · 68 Star — 使用量ゲートと Skill テンプレートを備えた Grok Bot 向け JEV 判断レイヤー。 [根拠](https://github.com/Bodila51/grok-bot-jev/blob/1583e09928c138aeac0aa89818c67ea41f08e807/README.md) -- **[Agent Router](https://github.com/nidhi-singh02/agent-router)** · 58 Star — JEV でタスクをコーディング Agent、モデル、推論強度へ振り分ける CLI。 [根拠](https://github.com/nidhi-singh02/agent-router/blob/ad7571f38ea31ffbf3c28391f9e6d6383a7c08ba/packages/router/src/semantic/typesafe-client.ts) +- **[Agent Router · TypeSafe](https://github.com/theagentrouter/agent-router)** · 2.1K Star — Agent Router は Envoy ベースのゲートウェイに TypeSafe System One トランスレータを備えます。 [根拠](https://github.com/theagentrouter/agent-router/blob/7d7c07ffdb14241362def2f7d3f76cbd06d518cc/internal/translator/typesafe_systemone.go) +- **[LLMGateway · System One](https://github.com/theopenco/llmgateway)** · 1.7K Star — LLMGateway は型付き Schema と Provider マッピングを備えたネイティブ System One ルートを実装。 [根拠](https://github.com/theopenco/llmgateway/blob/24de43b5f307ecbdee9aad386b68aee76de4ae8c/apps/gateway/src/systemone/systemone.ts) +- **[Atomic](https://github.com/bastani-inc/atomic)** · 812 Star — ルーティングなど、範囲を限定した構造化選択に使える Atomic コーディング Agent の任意 JEV バックエンド。 [根拠](https://github.com/bastani-inc/atomic/blob/33ca4ccb5f39488aeba67c0212a52a31cd14059d/packages/coding-agent/src/core/structured-output/jev.ts) +- **[Vexjoy Agent](https://github.com/notque/vexjoy-agent)** · 423 Star — VexJoy リクエストを専門エージェント、スキル、ワークフローに照合するオプションの JEV ルーティング パス。 [根拠](https://github.com/notque/vexjoy-agent/blob/ab51ee7da567e84f72f76d73b6e7b83cec5ef060/README.md) +- **[Hermes JEV Skills](https://github.com/kerpopule/hermes-jev-skills)** · 401 Star — Hermes エージェント向けに、JEV 駆動のルーティング・記憶・圧縮・Skill 選択・PC/ブラウザ操作。 [根拠](https://github.com/kerpopule/hermes-jev-skills/blob/a5d89014fbeca5102c5e7ccd3915afcd856505d8/jevkit/choose.py) +- **[WrongStack](https://github.com/WrongStack/WrongStack)** · 331 Star — WrongStack の専門 Agent から担当を選ぶための、任意で使える JEV ディスパッチ分類器。 [根拠](https://github.com/WrongStack/WrongStack/blob/4cf97c0aa4f855751949ee8e99c719d06f4c26e0/README.md) +- **[JEV Router](https://github.com/gargpratyush/jev-router)** · 316 Star — Claude Code および CLI プロキシ。JEV にタスクの複雑さをスコアリングし、アカウントの利用可能なセットからモデルを選択するよう依頼します。 [根拠](https://github.com/gargpratyush/jev-router/blob/38da6b84ea01241bfc41fbddc0928d0f40a703f0/src/policy.mjs#L1-L63) +- **[Skillbox](https://github.com/kitze/skillbox)** · 223 Star — オプションの JEV 推奨事項を備えた自己ホスト型のバージョン管理されたエージェント スキル ライブラリ。 [根拠](https://github.com/kitze/skillbox/blob/d83ba4ecd254c8dfa6a759d1feb5141384e26a9e/README.md) +- **[JEV Codex Router](https://github.com/0xNatoshi/jev-codex-router)** · 184 Star — JEV で Codex の各ターンを分類し、ローカルルールに従ってモデル、推論強度、速度モードを選びます。 [根拠](https://github.com/0xNatoshi/jev-codex-router/blob/8292b519659280884627a962c826ac7721136a64/server/jev_server.py) +- **[JevRouter](https://github.com/BillionsBobby/JevRouter)** · 145 Star — モデル、ツール、サブ Agent 向けの軽量 JEV ルーター。 [根拠](https://github.com/BillionsBobby/JevRouter/blob/715970774ae8070e958e83ac9b1a780b32a9184c/src/provider.ts) +- **[Grok Bot JEV](https://github.com/Bodila51/grok-bot-jev)** · 74 Star — 使用量ゲートと Skill テンプレートを備えた Grok Bot 向け JEV 判断レイヤー。 [根拠](https://github.com/Bodila51/grok-bot-jev/blob/1583e09928c138aeac0aa89818c67ea41f08e807/README.md) +- **[Agent Router](https://github.com/nidhi-singh02/agent-router)** · 63 Star — JEV でタスクをコーディング Agent、モデル、推論強度へ振り分ける CLI。 [根拠](https://github.com/nidhi-singh02/agent-router/blob/ad7571f38ea31ffbf3c28391f9e6d6383a7c08ba/packages/router/src/semantic/typesafe-client.ts) ↑ カテゴリへ戻る -### オープンモデル (17) - -- **[Laya](https://github.com/NandhaKishorM/laya)** · 6.7K Star — 多言語・非自己回帰の System 1 意思決定エンジン。1 回の前向き計算で型付き choice/score/noul を出し、ルータがチェックポイントを選びます。 [根拠](https://github.com/NandhaKishorM/laya/blob/d113dca2512fb3eaca313534bc54c7162d87c1d4/README.md) -- **[SemIf](https://github.com/TheoLeeCJ/SemIf)** · 2.7K Star — semantic-if インターフェイス パターンの独立したオープンモデル実装。 [根拠](https://github.com/TheoLeeCJ/SemIf/blob/ca3ba65f142967030ecb453346e94d6f476a69df/README.md) -- **[NanoJev](https://github.com/TianyuCodings/NanoJev)** · 1.7K Star — 並列決定とトレーニング パイプラインを備えた JEV インターフェイスの 0.6B オープン レプリカ。 [根拠](https://github.com/TianyuCodings/NanoJev/blob/71a513bb0163b5634467842b523ee0c0ed6fb1c7/README.md) -- **[Kev 0.5B](https://github.com/jaredpalmer/kev)** · 1.5K Star — Qwen2.5-0.5B に基づく、小さなトレーニング可能な JEV のような意思決定モデル。 [根拠](https://github.com/jaredpalmer/kev/blob/20fa6268c8ceb226530be2fb5266ab2c36b37724/README.md) -- **[Nimble](https://github.com/bespokelabsai/nimble)** · 1.4K Star — ローカルでの型付き意思決定、データキュレーション、評価に使えるオープンツールキット。 [根拠](https://github.com/bespokelabsai/nimble/blob/35fe1f4fdbc64fa3dbbf5ac0042f3f5680c1ad28/README.md) -- **[Jevlike](https://github.com/vinnylarouge/jevlike)** · 1.1K Star — テキストまたはビジュアル オプションの変更リストを 1 パスでスコアリングする独立したスターター モデル。 [根拠](https://github.com/vinnylarouge/jevlike/blob/94f5fd1b0b11d52bbdfdf4e0ee6aa96b568f8452/README.md) -- **[LocalJev](https://github.com/githubnext/localjev)** · 657 Star — 小規模なローカル モデルにわたるベンチマークを備えたローカル JEV 互換サーバー。 [根拠](https://github.com/githubnext/localjev/blob/3f23e36e1a3bff46c7e83e8e3781d3512bc82021/README.md) -- **[Splash](https://github.com/incoai/splash)** · 506 Star — 意思決定系モデル向けの Apple Silicon ローカル推論エンジン。 [根拠](https://github.com/incoai/splash/blob/f53d5ab543a7accdc332c060fd594a693f33f529/README.md) -- **[Von](https://github.com/wfzyx/von)** · 297 Star — JEV 互換インターフェースを持つローカルのオープン System One 判断モデル。 [根拠](https://github.com/wfzyx/von/blob/14d09878e89b103bfbbe641f9bed02e4d72c8830/README.md) -- **[OpenJEV SGLang](https://github.com/ekzhang/openjev-sglang)** · 245 Star — オープンモデル上の JEV 互換 API。prefill-only の提供経路を使います。 [根拠](https://github.com/ekzhang/openjev-sglang/blob/604664a22b2cf44c6cc499e503092ae4e3c24c03/src/openjev/__init__.py) -- **[OpenJEV Verdict 2.0](https://github.com/Heman10x-NGU/openJev-verdict-2.0)** · 221 Star — 約 151M の校正済み非自己回帰ローカル意思決定エンジン。JEV 風の型付き回答を目指す。 [根拠](https://github.com/Heman10x-NGU/openJev-verdict-2.0/blob/a458733c5f43fc7f30b6e4381636cbfbf8437633/openjev/__init__.py) -- **[JEV Visual](https://github.com/hr98w/jev-visual)** · 192 Star — Apple Silicon 上の教育向け JEV 風ビジョン推論。共有コンテキストで候補を直接採点。 [根拠](https://github.com/hr98w/jev-visual/blob/19af545f096e8db4c4dd5d47aed42d92ec252111/jev_visual/scoring.py) -- **[Jeff](https://github.com/logan-markewich/jeff)** · 183 Star — GliFormer を利用したセルフホスト型の JEV 互換サービス。 [根拠](https://github.com/logan-markewich/jeff/blob/34b32f99a727c47b679adde33f4702a001e02979/README.md) -- **[Decider](https://github.com/Mapika/decider)** · 180 Star — Qwen3.5-2B 微調整による、1 パスの型付き意思決定と校正確率。 [根拠](https://github.com/Mapika/decider/blob/c4daaac28af9fea95d627015cffa2dd5a5926ee6/decider/__init__.py) -- **[djev-spark](https://github.com/mmastrac/djev-spark)** · 152 Star — DGX Spark 上で DiffusionGemma NVFP4 構造化意思決定を動かすコンテナレシピ。 [根拠](https://github.com/mmastrac/djev-spark/blob/1444f3e927f83ba508e5b28a4fd4fdd9ecd0976b/README.md) -- **[Reflex](https://github.com/kshetrajna12/reflex)** · 91 Star — Qwen 上で JEV/System One インターフェースを再現する小型オープン判断モデル。 [根拠](https://github.com/kshetrajna12/reflex/blob/e21b3b23afdfeee7021a6604fa38f57e7ff5187f/README.md) -- **[Open JEV](https://github.com/daseinlabs/open-jev)** · 82 Star — カスタム微調整に対応するオープンな JEV 形式の実装。 [根拠](https://github.com/daseinlabs/open-jev/blob/8a4fbdf712e78c5ef45509a16aacb81facdd79be/README.md) +### オープンモデル (20) + +- **[Laya](https://github.com/NandhaKishorM/laya)** · 11.5K Star — 多言語・非自己回帰の System 1 意思決定エンジン。1 回の前向き計算で型付き choice/score/noul を出し、ルータがチェックポイントを選びます。 [根拠](https://github.com/NandhaKishorM/laya/blob/d113dca2512fb3eaca313534bc54c7162d87c1d4/README.md) +- **[SemIf](https://github.com/TheoLeeCJ/SemIf)** · 3.4K Star — semantic-if インターフェイス パターンの独立したオープンモデル実装。 [根拠](https://github.com/TheoLeeCJ/SemIf/blob/ca3ba65f142967030ecb453346e94d6f476a69df/README.md) +- **[Kev 0.5B](https://github.com/jaredpalmer/kev)** · 2.6K Star — Qwen2.5-0.5B に基づく、小さなトレーニング可能な JEV のような意思決定モデル。 [根拠](https://github.com/jaredpalmer/kev/blob/20fa6268c8ceb226530be2fb5266ab2c36b37724/README.md) +- **[NanoJev](https://github.com/TianyuCodings/NanoJev)** · 1.9K Star — 並列決定とトレーニング パイプラインを備えた JEV インターフェイスの 0.6B オープン レプリカ。 [根拠](https://github.com/TianyuCodings/NanoJev/blob/71a513bb0163b5634467842b523ee0c0ed6fb1c7/README.md) +- **[Nimble](https://github.com/bespokelabsai/nimble)** · 1.5K Star — ローカルでの型付き意思決定、データキュレーション、評価に使えるオープンツールキット。 [根拠](https://github.com/bespokelabsai/nimble/blob/35fe1f4fdbc64fa3dbbf5ac0042f3f5680c1ad28/README.md) +- **[Jevlike](https://github.com/vinnylarouge/jevlike)** · 1.2K Star — テキストまたはビジュアル オプションの変更リストを 1 パスでスコアリングする独立したスターター モデル。 [根拠](https://github.com/vinnylarouge/jevlike/blob/94f5fd1b0b11d52bbdfdf4e0ee6aa96b568f8452/README.md) +- **[LocalJev](https://github.com/githubnext/localjev)** · 704 Star — 小規模なローカル モデルにわたるベンチマークを備えたローカル JEV 互換サーバー。 [根拠](https://github.com/githubnext/localjev/blob/3f23e36e1a3bff46c7e83e8e3781d3512bc82021/README.md) +- **[Splash](https://github.com/incoai/splash)** · 578 Star — 意思決定系モデル向けの Apple Silicon ローカル推論エンジン。 [根拠](https://github.com/incoai/splash/blob/f53d5ab543a7accdc332c060fd594a693f33f529/README.md) +- **[Von](https://github.com/wfzyx/von)** · 374 Star — JEV 互換インターフェースを持つローカルのオープン System One 判断モデル。 [根拠](https://github.com/wfzyx/von/blob/14d09878e89b103bfbbe641f9bed02e4d72c8830/README.md) +- **[Decider](https://github.com/Mapika/decider)** · 279 Star — Qwen3.5-2B 微調整による、1 パスの型付き意思決定と校正確率。 [根拠](https://github.com/Mapika/decider/blob/c4daaac28af9fea95d627015cffa2dd5a5926ee6/decider/__init__.py) +- **[OpenJEV SGLang](https://github.com/ekzhang/openjev-sglang)** · 258 Star — オープンモデル上の JEV 互換 API。prefill-only の提供経路を使います。 [根拠](https://github.com/ekzhang/openjev-sglang/blob/604664a22b2cf44c6cc499e503092ae4e3c24c03/src/openjev/__init__.py) +- **[OpenJEV Verdict 2.0](https://github.com/Heman10x-NGU/openJev-verdict-2.0)** · 246 Star — 約 151M の校正済み非自己回帰ローカル意思決定エンジン。JEV 風の型付き回答を目指す。 [根拠](https://github.com/Heman10x-NGU/openJev-verdict-2.0/blob/a458733c5f43fc7f30b6e4381636cbfbf8437633/openjev/__init__.py) +- **[JEV Visual](https://github.com/hr98w/jev-visual)** · 221 Star — Apple Silicon 上の教育向け JEV 風ビジョン推論。共有コンテキストで候補を直接採点。 [根拠](https://github.com/hr98w/jev-visual/blob/19af545f096e8db4c4dd5d47aed42d92ec252111/jev_visual/scoring.py) +- **[Jeff](https://github.com/logan-markewich/jeff)** · 205 Star — GliFormer を利用したセルフホスト型の JEV 互換サービス。 [根拠](https://github.com/logan-markewich/jeff/blob/34b32f99a727c47b679adde33f4702a001e02979/README.md) +- **[Laya Node Runtime](https://github.com/receptron/laya)** · 195 Star — オープンな Laya JEV 互換判断モデル向け Node.js / TypeScript Runtime。 [根拠](https://github.com/receptron/laya/blob/6478649e723122ca24bbf5fb69ed1010023c9750/src/laya.ts) +- **[djev-spark](https://github.com/mmastrac/djev-spark)** · 168 Star — DGX Spark 上で DiffusionGemma NVFP4 構造化意思決定を動かすコンテナレシピ。 [根拠](https://github.com/mmastrac/djev-spark/blob/1444f3e927f83ba508e5b28a4fd4fdd9ecd0976b/README.md) +- **[LLM2Jev](https://github.com/Yinsongxu/LLM2Jev)** · 125 Star — ローカル言語モデルを JEV 互換の構造化判断エンジンへ変換するアダプタ。 [根拠](https://github.com/Yinsongxu/LLM2Jev/blob/6fbbf74fc604f92fc9b0b67f0989157bb2908229/src/llm2jev/inference/binary.py) +- **[Reflex](https://github.com/kshetrajna12/reflex)** · 110 Star — Qwen 上で JEV/System One インターフェースを再現する小型オープン判断モデル。 [根拠](https://github.com/kshetrajna12/reflex/blob/e21b3b23afdfeee7021a6604fa38f57e7ff5187f/README.md) +- **[Open JEV](https://github.com/daseinlabs/open-jev)** · 91 Star — カスタム微調整に対応するオープンな JEV 形式の実装。 [根拠](https://github.com/daseinlabs/open-jev/blob/8a4fbdf712e78c5ef45509a16aacb81facdd79be/README.md) +- **[OpenJev](https://github.com/SiliconLabAI/OpenJev)** · 67 Star — 型付き判断リクエスト向けのオープンソース JEV 互換実装。 [根拠](https://github.com/SiliconLabAI/OpenJev/blob/a08e969c37b2e4a37f95b3426f983bd94303590c/README.md) ↑ カテゴリへ戻る -### 検索・データ (9) - -- **[Kody](https://github.com/kentcdodds/kody)** · 659 Star — オプションの第 2 段階の検索: ハイブリッド プールを拡大し、Workers AI typesafe/jev を使用して候補者をスコア再ランク付けします。 [根拠](https://github.com/kentcdodds/kody/blob/ed9275186dc817530dd2289e62c208ac3809391f/packages/worker/src/mcp/tools/search-jev-rerank.ts) -- **[Jev Experiments](https://github.com/dabit3/jev-experiments)** · 352 Star — インテント検索やエージェント支援フローを含む小規模な JEV 実験。 [根拠](https://github.com/dabit3/jev-experiments/tree/c469e5bfdc73eb3e1999bba2569e66b579a970fd/agent-assist) -- **[JEV Search](https://github.com/superagents-lab/jev-search)** · 352 Star — JEV を使用して Web を検索し、ソースと時間範囲を選択し、返されたリンクをランク付けします。 [根拠](https://github.com/superagents-lab/jev-search/blob/522868762f0637b20bf533f136e930cceb83b9f3/src/lib/typesafe.ts#L48) -- **[Tax Document Classifier](https://github.com/kyotofin/tax-doc-classifier)** · 314 Star — 抽出された税務書類のページを固定 IRS フォーム カタログに基づいて分類します。 [根拠](https://github.com/kyotofin/tax-doc-classifier/blob/6afcf701395466d7c936ec8178daf017b9d96b0c/src/backend.ts) -- **[Pg JEV](https://github.com/realZachi/pg-jev)** · 259 Star — PostgreSQL クエリに行の自然言語フィルタリング、分類、ランク付けを追加します。 [根拠](https://github.com/realZachi/pg-jev/blob/afd11fa856d7a2b831a1bfd8ee7f869ce8efcd62/sql/jev--0.2.0.sql) -- **[jev-semgrep](https://github.com/uehaj/jev-semgrep)** · 122 Star — 多言語の AND、OR、NOT、確率しきい値を使用した意味ベースの grep。 [根拠](https://github.com/uehaj/jev-semgrep/blob/ba6ef50f85d0c5d6caa4db102ee4db4a08c85dd2/README.md) +### 検索・データ (14) + +- **[OpenViking · JEV Rerank](https://github.com/volcengine/OpenViking)** · 38.4K Star — OpenViking は JEV を使い、Agent の記憶・コンテキスト検索結果を較正して再順位付けできます。 [根拠](https://github.com/volcengine/OpenViking/blob/b8bed5a1ad3a1c524b5e1fd0fa591df51ca9b7cc/openviking/models/rerank/jev_rerank.py) +- **[Hindsight · TypeSafe Rerank](https://github.com/vectorize-io/hindsight)** · 24.8K Star — Agent メモリに TypeSafe リランカーを追加し、無関係な検索候補を除外できます。 [根拠](https://github.com/vectorize-io/hindsight/blob/680406b3dd9cca2108c7f0e204820a09b4e30906/hindsight-api-slim/hindsight_api/engine/cross_encoder.py) +- **[GreptimeDB · JEV SQL](https://github.com/GreptimeTeam/greptimedb)** · 6.7K Star — GreptimeDB に JEV 判断を利用する実験的 SQL 述語を追加。 [根拠](https://github.com/GreptimeTeam/greptimedb/blob/b5199bc59a199875187d808158357a33b09e5f60/src/common/function/src/scalars/jev.rs) +- **[Kody](https://github.com/kentcdodds/kody)** · 663 Star — オプションの第 2 段階の検索: ハイブリッド プールを拡大し、Workers AI typesafe/jev を使用して候補者をスコア再ランク付けします。 [根拠](https://github.com/kentcdodds/kody/blob/ed9275186dc817530dd2289e62c208ac3809391f/packages/worker/src/mcp/tools/search-jev-rerank.ts) +- **[JEV Search](https://github.com/superagents-lab/jev-search)** · 385 Star — JEV を使用して Web を検索し、ソースと時間範囲を選択し、返されたリンクをランク付けします。 [根拠](https://github.com/superagents-lab/jev-search/blob/522868762f0637b20bf533f136e930cceb83b9f3/src/lib/typesafe.ts#L48) +- **[Jev Experiments](https://github.com/dabit3/jev-experiments)** · 358 Star — インテント検索やエージェント支援フローを含む小規模な JEV 実験。 [根拠](https://github.com/dabit3/jev-experiments/tree/c469e5bfdc73eb3e1999bba2569e66b579a970fd/agent-assist) +- **[Tax Document Classifier](https://github.com/kyotofin/tax-doc-classifier)** · 348 Star — 抽出された税務書類のページを固定 IRS フォーム カタログに基づいて分類します。 [根拠](https://github.com/kyotofin/tax-doc-classifier/blob/6afcf701395466d7c936ec8178daf017b9d96b0c/src/backend.ts) +- **[Pg JEV](https://github.com/realZachi/pg-jev)** · 286 Star — PostgreSQL クエリに行の自然言語フィルタリング、分類、ランク付けを追加します。 [根拠](https://github.com/realZachi/pg-jev/blob/afd11fa856d7a2b831a1bfd8ee7f869ce8efcd62/sql/jev--0.2.0.sql) +- **[SiftRank · JEV](https://github.com/noperator/siftrank)** · 202 Star — JEV を使って大規模コレクションから関連項目を探す CLI ランキングツール。 [根拠](https://github.com/noperator/siftrank/blob/03e7afe3289a204ea3dcc51613cea91877a651de/pkg/siftrank/jev_provider.go) +- **[DocJEV](https://github.com/jerryjliu/docjev)** · 201 Star — 専用 JEV エンジンを備えた文書分類・分割ツール。 [根拠](https://github.com/jerryjliu/docjev/blob/7e6b48d3f7eec8db7b582e7276f2778c0d12ca3d/src/jev_docs/engines/jev.py) +- **[jev-semgrep](https://github.com/uehaj/jev-semgrep)** · 124 Star — 多言語の AND、OR、NOT、確率しきい値を使用した意味ベースの grep。 [根拠](https://github.com/uehaj/jev-semgrep/blob/ba6ef50f85d0c5d6caa4db102ee4db4a08c85dd2/README.md) +- **[Neo4JEV](https://github.com/jexp/neo4jev)** · 81 Star — JEV で次のリレーションを分類する Neo4j グラフナビゲーター。 [根拠](https://github.com/jexp/neo4jev/blob/d157bbe496eb91813475156942bef1c6badfb342/src/neo4jev/navigator.py) - **[Pg TypeSafe](https://github.com/giuliosmall/pg_typesafe)** · 81 Star — 分類、はい/いいえの判断、スコアリングのために SQL から JEV を呼び出すためのプレアルファ版の PostgreSQL C 拡張機能。 [根拠](https://github.com/giuliosmall/pg_typesafe/blob/4b5bfc1df11b18c3f07bb10804eeb47e4508ec6a/typesafe.c) -- **[jegrep](https://github.com/can1357/jegrep)** · 57 Star — ライブ コード ツリーのセマンティック grep: 必要なものを記述し、インデックスを作成せずにファイルと元の行範囲を取得します。 [根拠](https://github.com/can1357/jegrep/blob/a280f14f6da8163bde67e0c49f58b23517a02882/src/jev.rs) -- **[Neo4JEV](https://github.com/jexp/neo4jev)** · 57 Star — JEV で次のリレーションを分類する Neo4j グラフナビゲーター。 [根拠](https://github.com/jexp/neo4jev/blob/d157bbe496eb91813475156942bef1c6badfb342/src/neo4jev/navigator.py) +- **[jegrep](https://github.com/can1357/jegrep)** · 75 Star — ライブ コード ツリーのセマンティック grep: 必要なものを記述し、インデックスを作成せずにファイルと元の行範囲を取得します。 [根拠](https://github.com/can1357/jegrep/blob/a280f14f6da8163bde67e0c49f58b23517a02882/src/jev.rs) ↑ カテゴリへ戻る -### 安全性・レビュー (12) +### 安全性・レビュー (13) +- **[Sub2API · JEV Moderation](https://github.com/Wei-Shaw/sub2api)** · 42.3K Star — サブスクリプションを API 化するゲートウェイに、コンテンツ審査用 TypeSafe クライアントを内蔵。 [根拠](https://github.com/Wei-Shaw/sub2api/blob/1c0a69c0ceddb2fd21581c17ab09f6c500b89ba1/backend/internal/pkg/typesafe/client.go) - **[Agentgateway · JEV Guardrail](https://github.com/agentgateway/agentgateway)** · 5.0K Star — モデルのリクエストとレスポンスを検査するための JEV Webhook ガードレールの例。 [根拠](https://github.com/agentgateway/agentgateway/blob/6b0270efd25b5255932943e48b5ca47583d3ad28/examples/llm-guardrail-jev/guardrail.ts) - **[Latitude · JEV Preclassifier](https://github.com/latitude-dev/latitude-llm)** · 4.7K Star — 実行する会話チェックを選ぶための、任意で使える JEV 事前分類器。 [根拠](https://github.com/latitude-dev/latitude-llm/blob/6b2484c1d74973877fc7d353b8867c7496568d78/packages/domain/flaggers/src/use-cases/run-jev-preclassifier.ts#L1) -- **[Agent](https://github.com/AgentiLoop/Agent)** · 618 Star — TypeSafeKit クライアントを使用した、ネイティブ macOS エージェント内のオプションの JEV コマンド リスク アドバイザ。 [根拠](https://github.com/AgentiLoop/Agent/blob/078f87ceca1d1190cc73706ac8ec16442e766a27/README.md) -- **[jev-align](https://github.com/sutro-sh/jev-align)** · 253 Star — GEPA を使用して人間の例から JEV 分類器を調整するための CLI。 [根拠](https://github.com/sutro-sh/jev-align/blob/49753df924d30c0d3642b58e0b9b1e89921dc102/README.md) -- **[Abide](https://github.com/coldteadotai/abide)** · 199 Star — 通常のリンターでは表現できない制約を扱う、コーディング Agent 向けルール層。 [根拠](https://github.com/coldteadotai/abide/blob/ec3352e873163b74aca1ac9cf3bd0ea69a97723a/README.md) -- **[Interlinked CLI](https://github.com/QuentinCody/interlinked-cli)** · 178 Star — Interlinked は、任意の JEV 判断と根拠チェックをローカルのコーディング Agent 検査に追加します。 [根拠](https://github.com/QuentinCody/interlinked-cli/blob/207330d8131c5203ecc74e9fd4c24ba416463718/src/harness/jev/client.ts#L14) -- **[Unclutter](https://github.com/kitze/unclutter)** · 152 Star — JEV を使用して広告、プロモーション、購読ポップアップを識別し、再利用可能な非表示ルールを保存するブラウザ拡張機能。 [根拠](https://github.com/kitze/unclutter/blob/9ef9beccc1e57b4e3115ae68644b8fc9c19c29f6/lib/jev.ts) -- **[Pi JEV](https://github.com/y0usaf/pi-jev)** · 131 Star — 実行前にツールのリスクにフラグを立て、出力のシークレットと障害タイプをチェックする Pi 拡張機能。 [根拠](https://github.com/y0usaf/pi-jev/blob/b3478fd4ca1ac8ffcb703f6dc8d6069b555f531e/README.md) -- **[Pi Warden](https://github.com/DevMortimer/pi-warden)** · 118 Star — プロジェクト ルール、範囲外のアクション、繰り返される失敗、完了要求のチェックを Pi エージェントに追加します。 [根拠](https://github.com/DevMortimer/pi-warden/blob/e6c801679464b1a9624225114eb5fb443c27d823/src/guard.ts) -- **[Supercov](https://github.com/supercorp-ai/supercov)** · 85 Star — JEV で限定的な品質チェックを行うコード品質・カバレッジツール。 [根拠](https://github.com/supercorp-ai/supercov/blob/55f5ce93a239829c224b89e6749991310be91ea4/crates/supercov-cli/src/quality.rs) +- **[Agent](https://github.com/AgentiLoop/Agent)** · 622 Star — TypeSafeKit クライアントを使用した、ネイティブ macOS エージェント内のオプションの JEV コマンド リスク アドバイザ。 [根拠](https://github.com/AgentiLoop/Agent/blob/078f87ceca1d1190cc73706ac8ec16442e766a27/README.md) +- **[jev-align](https://github.com/sutro-sh/jev-align)** · 271 Star — GEPA を使用して人間の例から JEV 分類器を調整するための CLI。 [根拠](https://github.com/sutro-sh/jev-align/blob/49753df924d30c0d3642b58e0b9b1e89921dc102/README.md) +- **[Abide](https://github.com/coldteadotai/abide)** · 207 Star — 通常のリンターでは表現できない制約を扱う、コーディング Agent 向けルール層。 [根拠](https://github.com/coldteadotai/abide/blob/ec3352e873163b74aca1ac9cf3bd0ea69a97723a/README.md) +- **[Interlinked CLI](https://github.com/QuentinCody/interlinked-cli)** · 177 Star — Interlinked は、任意の JEV 判断と根拠チェックをローカルのコーディング Agent 検査に追加します。 [根拠](https://github.com/QuentinCody/interlinked-cli/blob/207330d8131c5203ecc74e9fd4c24ba416463718/src/harness/jev/client.ts#L14) +- **[Unclutter](https://github.com/kitze/unclutter)** · 176 Star — JEV を使用して広告、プロモーション、購読ポップアップを識別し、再利用可能な非表示ルールを保存するブラウザ拡張機能。 [根拠](https://github.com/kitze/unclutter/blob/9ef9beccc1e57b4e3115ae68644b8fc9c19c29f6/lib/jev.ts) +- **[Pi JEV](https://github.com/y0usaf/pi-jev)** · 134 Star — 実行前にツールのリスクにフラグを立て、出力のシークレットと障害タイプをチェックする Pi 拡張機能。 [根拠](https://github.com/y0usaf/pi-jev/blob/b3478fd4ca1ac8ffcb703f6dc8d6069b555f531e/README.md) +- **[Pi Warden](https://github.com/DevMortimer/pi-warden)** · 132 Star — プロジェクト ルール、範囲外のアクション、繰り返される失敗、完了要求のチェックを Pi エージェントに追加します。 [根拠](https://github.com/DevMortimer/pi-warden/blob/e6c801679464b1a9624225114eb5fb443c27d823/src/guard.ts) +- **[Supercov](https://github.com/supercorp-ai/supercov)** · 94 Star — JEV で限定的な品質チェックを行うコード品質・カバレッジツール。 [根拠](https://github.com/supercorp-ai/supercov/blob/55f5ce93a239829c224b89e6749991310be91ea4/crates/supercov-cli/src/quality.rs) - **[Captaincore](https://github.com/CaptainCore/captaincore)** · 71 Star — WordPress ツールキットCaptainCore の JEV コマンドは、構造化された質問に答え、マルウェア スキャナーの検出結果に優先順位を付けてレビューします。 [根拠](https://github.com/CaptainCore/captaincore/blob/f54e0669350707b2f4f4c67a0130fdd6574bd0b5/cmd/typesafe.go) -- **[Oxlint Plugin JEV](https://github.com/wobsoriano/oxlint-plugin-jev)** · 52 Star — JEV で意味的な lint ルールを評価する Oxlint プラグイン。 [根拠](https://github.com/wobsoriano/oxlint-plugin-jev/blob/18c5bc9097d88344382a98a78a67698c9c7ecf01/src/jev.ts) +- **[Oxlint Plugin JEV](https://github.com/wobsoriano/oxlint-plugin-jev)** · 55 Star — JEV で意味的な lint ルールを評価する Oxlint プラグイン。 [根拠](https://github.com/wobsoriano/oxlint-plugin-jev/blob/18c5bc9097d88344382a98a78a67698c9c7ecf01/src/jev.ts) ↑ カテゴリへ戻る -### Agent ワークフロー (11) +### Agent ワークフロー (14) - **[Jev Model Router](https://github.com/davila7/claude-code-templates)** · 30.9K Star — サブエージェント モデルと推論強度の必要性を分類する Claude Code mod。 [根拠](https://github.com/davila7/claude-code-templates/blob/61bfcd1586bf1076f6d3cfa0436317c912811e6c/cli-tool/components/mods/productivity/jev-model-router/hooks/jev-model-router.ts) - **[Openwork](https://github.com/different-ai/openwork)** · 23.7K Star — CI と Skill ワークフローで JEV レビューを実行できる、オープンソースの cowork 風エージェント作業空間。 [根拠](https://github.com/different-ai/openwork/blob/80c74d2160034fa1738fc6be78dd24ddfeccfc59/.github/scripts/jev-test-coverage-review.mjs) - **[Eve](https://github.com/vercel/eve)** · 5.3K Star — Skill・評価・ツール付きワークフローをまとめる Vercel のオープンなエージェント枠組み。 [根拠](https://github.com/vercel/eve/blob/d004e6d47e9d25d0380c24b5a47b65a18f8b2784/README.md) +- **[RNSkill · JEV Office Gate](https://github.com/Pluviobyte/rnskill)** · 1.6K Star — Agent Skill 集に、限定されたオフィス文書チェック用 JEV ゲートを収録。 [根拠](https://github.com/Pluviobyte/rnskill/blob/83d1783b892bbaa29a137895ff8338264b6872fa/skills/jev-office-gate/scripts/jev_office_gate.py) - **[NewsJack](https://github.com/elvisun/newsjack)** · 1.3K Star — ライブ ニュース フィードをスクリーニングしてタイムリーなブランド チャンスを見つけるオープンソースの PR ワークフロー。 [根拠](https://github.com/elvisun/newsjack/tree/092d882fc69912622f620c50eb493afe625f99dc/demos/news-desk-dealer) +- **[Distill · JEV Runtime](https://github.com/samuelfaj/distill)** · 683 Star — コーディング Agent Runtime が JEV レーンでルーティング・圧縮・記憶・ツール結果を処理。 [根拠](https://github.com/samuelfaj/distill/blob/d5f031153cb817f023138a9a0b3fce5516f727c4/crates/codegen/distill-shell/src/jev.rs) - **[Smithers](https://github.com/smithersai/smithers)** · 418 Star — TypeScript 設定でワークフローを定義し、JEV 分類パスを持つエージェント枠組み。 [根拠](https://github.com/smithersai/smithers/blob/394ada6a3fb815b4b62cfc7bc2242e238d42ff44/apps/server/src/jev.ts) -- **[Compact Adviser](https://github.com/kunchenguid/compact-adviser)** · 157 Star — いつコンテキストを圧縮してトークンを節約するかを助言するコーディング Agent Skill。 [根拠](https://github.com/kunchenguid/compact-adviser/blob/d1655faa16a22b68bff60c3d7deb0123e1e52a53/packages/codex-plugin/skills/compact-adviser/SKILL.md) -- **[JEV Pruner](https://github.com/tamaratran/jev-pruner)** · 130 Star — 長い Bash 出力をモデルに渡す前に TypeSafe JEV で刈り込む Claude Code プラグイン。 [根拠](https://github.com/tamaratran/jev-pruner/blob/47d017c34eab7690b95f075ce6f4839247c5dc0a/src/jev.ts) -- **[Skillranker](https://github.com/Dicklesworthstone/skillranker)** · 107 Star — JEV で現在のセッション文脈に対して Agent Skills を順位付けする Rust CLI。 [根拠](https://github.com/Dicklesworthstone/skillranker/blob/16743e9f9dee04850d01015d8f5c863a4ed4d0ff/README.md) +- **[Compact Adviser](https://github.com/kunchenguid/compact-adviser)** · 173 Star — いつコンテキストを圧縮してトークンを節約するかを助言するコーディング Agent Skill。 [根拠](https://github.com/kunchenguid/compact-adviser/blob/d1655faa16a22b68bff60c3d7deb0123e1e52a53/packages/codex-plugin/skills/compact-adviser/SKILL.md) +- **[JEV Pruner](https://github.com/tamaratran/jev-pruner)** · 134 Star — 長い Bash 出力をモデルに渡す前に TypeSafe JEV で刈り込む Claude Code プラグイン。 [根拠](https://github.com/tamaratran/jev-pruner/blob/47d017c34eab7690b95f075ce6f4839247c5dc0a/src/jev.ts) +- **[jev-gateway](https://github.com/vinilana/jev-gateway)** · 115 Star — JEV 決定を Claude Code および Codex ツール フローに挿入するためのゲートウェイ。 [根拠](https://github.com/vinilana/jev-gateway/blob/9463952bf118773fb955427d2725a98f76546233/README.md) +- **[Skillranker](https://github.com/Dicklesworthstone/skillranker)** · 109 Star — JEV で現在のセッション文脈に対して Agent Skills を順位付けする Rust CLI。 [根拠](https://github.com/Dicklesworthstone/skillranker/blob/16743e9f9dee04850d01015d8f5c863a4ed4d0ff/README.md) - **[Bluenoise](https://github.com/rokcso/bluenoise)** · 90 Star — デフォルトでローカル ルールを使用する X/Twitter フィルタリング拡張機能。オプションで JEV が一致しない返信をチェックします。 [根拠](https://github.com/rokcso/bluenoise/blob/ef81ea7a7c3677501d6de8f9235a4d6a866b573a/entrypoints/background.ts) -- **[jev-gateway](https://github.com/vinilana/jev-gateway)** · 79 Star — JEV 決定を Claude Code および 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Compose](https://github.com/vercel-labs/json-render)** · 18.0K Star — 事前定義されたコンポーネントとプロパティから選択する JEV UI 構成の実験。 [根拠](https://github.com/vercel-labs/json-render/blob/3ad381881194e7011ad3ccd6d668033495a06c29/apps/web/lib/jev/compose.ts) +- **[JEV Chat Jarvis](https://github.com/jev-chat/jev-chat-jarvis)** · 1.6K Star — 表示中の会話を読み、候補返信を提案するが自動送信しない Android 会話コパイロット。 [根拠](https://github.com/jev-chat/jev-chat-jarvis/blob/d8720521fa13aa5172a891cba95c5dd8aeb44a11/app/src/main/java/com/jev/probe/jev/JevClient.kt) - **[Aiavatarkit](https://github.com/uezo/aiavatarkit)** · 678 Star — オプションの AIAvatarKit コンポーネントは、JEV を使用して音声トランスクリプトからターン終了を判断します。 [根拠](https://github.com/uezo/aiavatarkit/blob/38b617b8b9269939734e70ef503d7ea6976acdbd/aiavatar/sts/vad/turn_end_gates/jev.py#L172) -- **[TipTour macOS](https://github.com/milind-soni/tiptour-macos)** · 627 Star — JEV または Gemini Live によって駆動されるローカル macOS コンピューター使用コンパニオン。 [根拠](https://github.com/milind-soni/tiptour-macos/blob/52582467c883d66484542f3be8e259340eb524f1/README.md) -- **[Notra](https://github.com/usenotra/notra)** · 199 Star — 作業成果を公開コンテンツに変え、Agent Skill を接続するプロダクト。 [根拠](https://github.com/usenotra/notra/blob/f792a620ef1066b34665ec84c6f55fc9ca5d9954/README.md) +- **[TipTour macOS](https://github.com/milind-soni/tiptour-macos)** · 642 Star — JEV または Gemini Live によって駆動されるローカル macOS コンピューター使用コンパニオン。 [根拠](https://github.com/milind-soni/tiptour-macos/blob/52582467c883d66484542f3be8e259340eb524f1/README.md) +- **[Notra](https://github.com/usenotra/notra)** · 207 Star — 作業成果を公開コンテンツに変え、Agent Skill を接続するプロダクト。 [根拠](https://github.com/usenotra/notra/blob/f792a620ef1066b34665ec84c6f55fc9ca5d9954/README.md) - **[OpenWhisper](https://github.com/Knuckles92/OpenWhisper)** · 187 Star — オプションの JEV を備えたディクテーションと会議メモのアプリは、トピックの変更、メモを取る指示、機密テキストをチェックします。 [根拠](https://github.com/Knuckles92/OpenWhisper/blob/9e83653df183096104769e302a3c907cb277c551/README.md) +- **[JEV Chat](https://github.com/w3cj/jev-chat)** · 84 Star — JEV がコード提供の返答・ツール候補だけから選ぶツール利用チャット。 [根拠](https://github.com/w3cj/jev-chat/blob/e543aba8c21b57a28a748ef41966502130f0f69e/apps/server/src/jev/pools.ts) +- **[Jevmeter](https://github.com/ChetasLua/jevmeter)** · 81 Star — 選択したルーブリックに対してトランスクリプト文を評価するよう JEV に依頼することで、スコア メーター付きの編集済みビデオを作成します。 [根拠](https://github.com/ChetasLua/jevmeter/blob/cbf8e117b5b8835e3294c3a8ee652c7dfa737a9a/jevmeter/score.py) - **[Youtube Sponsor Detection](https://github.com/trungdq88/youtube-sponsor-detection)** · 81 Star — YouTube 拡張機能は、JEV を使用してライブ音声とトランスクリプトからスポンサー付きセグメントを検出し、プロモーション ブロックを自動的にスキップします。 [根拠](https://github.com/trungdq88/youtube-sponsor-detection/blob/de01f0568d043035889a296a61ce21e0accc8b16/extension/lib/jev.js#L1-L541) -- **[Jevmeter](https://github.com/ChetasLua/jevmeter)** · 77 Star — 選択したルーブリックに対してトランスクリプト文を評価するよう JEV に依頼することで、スコア メーター付きの編集済みビデオを作成します。 [根拠](https://github.com/ChetasLua/jevmeter/blob/cbf8e117b5b8835e3294c3a8ee652c7dfa737a9a/jevmeter/score.py) -- **[JEV Chat](https://github.com/w3cj/jev-chat)** · 71 Star — JEV がコード提供の返答・ツール候補だけから選ぶツール利用チャット。 [根拠](https://github.com/w3cj/jev-chat/blob/e543aba8c21b57a28a748ef41966502130f0f69e/apps/server/src/jev/pools.ts) ↑ カテゴリへ戻る -### 開発者ツール (27) - -- **[Fast Jev Compaction](https://github.com/tamaratran/fast-jev-compaction)** · 5.7K Star — 保持されたテキストをそのまま保持しながら、Claude Code ツール履歴を圧縮します。 [根拠](https://github.com/tamaratran/fast-jev-compaction/blob/e3f262a7f4d42bd8dd32ced30d26176f7cb545b0/src/client.ts) -- **[TypeSafe Skills](https://github.com/typesafe-ai/skills)** · 1.4K Star — TypeSafe の System One / JEV API 向け公式 Agent Skill 集。 [根拠](https://github.com/typesafe-ai/skills/blob/65a39f393687675ce170e6094757de20370365b9/skills/typesafe-ai/SKILL.md) -- **[Celesto](https://github.com/CelestoAI/celesto)** · 946 Star — Celesto PR レビューの例では、サンドボックス チェックを準備し、候補となる結果について一般的なモデルと JEV を比較します。 [根拠](https://github.com/CelestoAI/celesto/blob/fff7bb567752baee4ce195fcb78b5ee5e4da889f/examples/pr-review-jev/models.py#L96) -- **[AI CLI](https://github.com/vercel-labs/ai-cli)** · 808 Star — ターミナルからコンテンツ生成するための Agent Skill 付き CLI。 [根拠](https://github.com/vercel-labs/ai-cli/blob/6a0ed5d04ea60ee536029d469499b82898d1b214/skills/ai-cli/SKILL.md) -- **[Awesome JEV (yibie)](https://github.com/yibie/awesome-jev)** · 805 Star — 公開 JEV プロジェクト、連携、議論をまとめた大規模コミュニティ目录。 [根拠](https://github.com/yibie/awesome-jev/blob/a42aea88b30aeb62b3f165395f15336853e01863/README.md) -- **[Awesome JEV by TypeSafe](https://github.com/Anil-matcha/awesome-jev-by-typesafe)** · 742 Star — 根拠付きの JEV ユースケース・パターン・プロンプト・スターター集。 [根拠](https://github.com/Anil-matcha/awesome-jev-by-typesafe/blob/0f4a1eadcdd70f4fc1cf8eadcf72794dfe416095/docs/jev-use-case-playbook.md) -- **[Awesome JEV Tools](https://github.com/v-modal/awesome-jev-tools)** · 599 Star — JEV と TypeSafe System One 向けツールのキュレーション目录。 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Nouls に質問し、Python ポリシーを適用する独立したスーパーバイザー ループ。 [根拠](https://github.com/thruwire/foreman/blob/209182dac7a3467033fd093ab4ca47d21279984a/src/foreman/foreman/jev.py) +- **[Awesome TypeSafe](https://github.com/AbdelStark/awesome-typesafe)** · 431 Star — TypeSafe・System One・JEV の公式／コミュニティ資源をまとめたキュレーション一覧。 [根拠](https://github.com/AbdelStark/awesome-typesafe/blob/d44dc0a1e26d41bc7f543d39b4b62ae5cb9f13c8/README.md) +- **[Awesome TypeSafe JEV](https://github.com/AbdelStark/awesome-typesafe-jev)** · 431 Star — TypeSafe JEV のプロジェクト・SDK・デモ・評価を根拠付きでまとめたガイド。 [根拠](https://github.com/AbdelStark/awesome-typesafe-jev/blob/9384099af36cd439b7f0bd4311560ac02eeabe7c/README.md) +- **[Awesome JEV Projects](https://github.com/logicrw/awesome-jev-projects)** · 334 Star — 根拠付き JEV エコシステムレーダー。平易な発見 UI と GitHub 同期付き。 [根拠](https://github.com/logicrw/awesome-jev-projects/blob/d1b1b8d6c68c1754425778606d20d2cb14b09895/SKILL.md) +- **[Awesome JEV (cobanov)](https://github.com/cobanov/awesome-jev)** · 316 Star — JEV / TypeSafe System One で作られたプロジェクトの根拠付き一覧。 [根拠](https://github.com/cobanov/awesome-jev/blob/2c8c34a7a89499a0cec3ca7de3a23fec3ea9dc97/README.md) +- **[Orchestkit](https://github.com/yonatangross/orchestkit)** · 281 Star — OrchestKit はオプションで JEV を使用してコーディング セッションを分類し、信頼度がしきい値を満たしたときにその色を設定できます。 [根拠](https://github.com/yonatangross/orchestkit/blob/569095f35ce61a4881197dfb8117f4c3312e2bee/src/hooks/src/lib/session-category-provider.ts) +- **[Awesome JEV (AnotiaWang)](https://github.com/AnotiaWang/awesome-jev)** · 257 Star — JEV アプリ、ライブラリ、System One 資料のキュレーション一覧。 [根拠](https://github.com/AnotiaWang/awesome-jev/blob/04e65b59a936b2fed0d40eaec71a0a11e33bb422/README.md) +- **[JEV MCP](https://github.com/jkudish/jev-mcp)** · 245 Star — 証拠チェック、コンテンツ スクリーニング、検索、再ランキング、分類、比較、抽出のための 8 つの MCP ツール。 [根拠](https://github.com/jkudish/jev-mcp/blob/89f88b90c3180184d56961160e7178e64c98e468/src/provider.ts#L127) +- **[TypeSafe MCP](https://github.com/itsmostafa/typesafe-mcp)** · 227 Star — Claude Code、Claude Desktop、Codex、Pi から JEV へ型付き質問を送れる MCP サーバー。 [根拠](https://github.com/itsmostafa/typesafe-mcp/blob/0c9f35d9b1859189fc7e7d01947061f311ca6dde/README.md) +- **[JEV Review](https://github.com/NiazMorshed2007/jev-review)** · 196 Star — ローカルの MCP コード品質レビュアーが、構造化スコアをコーディング Agent に返します。 [根拠](https://github.com/NiazMorshed2007/jev-review/blob/57690af54ef7d862c2483342c1e61c14dffcf727/README.md) +- **[Awesome JEV (fatwang2)](https://github.com/fatwang2/awesome-jev)** · 187 Star — 根拠付き JEV ディレクトリと、再利用可能な JEV 専用 GitHub Review ワークフロー。 [根拠](https://github.com/fatwang2/awesome-jev/blob/f036095ba8203001d40be955f3486cd3e0d0a81b/.github/workflows/jev-review.yml) - **[Perch](https://github.com/lakeday-org/perch)** · 167 Star — 発見を発火すべきかを JEV / System One に問うセマンティック lint。 [根拠](https://github.com/lakeday-org/perch/blob/54a38d6034264dc507e97294b82316c347fe5a5e/src/systemone.js) -- **[Awesome JEV Gallery](https://github.com/OmniJev/awesome-jev-gallery)** · 131 Star — System One の論文、オープン再現、独立評価を集めたギャラリー。 [根拠](https://github.com/OmniJev/awesome-jev-gallery/blob/2b84d22ab0fb9e54098788955187feb023c40ab3/README.md) +- **[Awesome JEV Gallery](https://github.com/OmniJev/awesome-jev-gallery)** · 159 Star — System One の論文、オープン再現、独立評価を集めたギャラリー。 [根拠](https://github.com/OmniJev/awesome-jev-gallery/blob/2b84d22ab0fb9e54098788955187feb023c40ab3/README.md) +- **[Awesome JEV (HeyJunPenn)](https://github.com/heyjunpenn/awesome-jev)** · 148 Star — コミュニティ運営の多言語 JEV オープンソース・カタログ。 [根拠](https://github.com/heyjunpenn/awesome-jev/blob/eabb8446bdadd6744adce2e30871ef0691cf34e5/README.md) - **[Building with JEV Skill](https://github.com/dbreunig/building-with-jev-skill)** · 128 Star — JEV / System One を呼ぶプログラムの作成・改善を助ける Agent Skill。 [根拠](https://github.com/dbreunig/building-with-jev-skill/blob/04fe3666c6b8b8abfec1271c0e581c823a181f6d/skills/jev/SKILL.md) +- **[Awesome Jev](https://github.com/hellogumbo/awesome-jev)** · 127 Star — awesomejev.com の元カタログで、リポジトリ、連携、デモ、研究を収録。 [根拠](https://github.com/hellogumbo/awesome-jev/blob/e18fa74fa53e27395a074cf94c7a127e912fb090/data/projects.json) +- **[Awesome JEV TypeSafe](https://github.com/valentynkit/awesome-jev-typesafe)** · 125 Star — 型付きで信頼度を扱う判断を中心にした TypeSafe JEV 資料一覧。 [根拠](https://github.com/valentynkit/awesome-jev-typesafe/blob/7eec7360d502826b51d1c8862c9fd2d76eecf6e4/readme.md) - **[Taskuary](https://github.com/ldbumble/taskuary)** · 116 Star — タスク状態に関するユーザー定義の条件をチェックするための Taskuary のオプションの JEV 判定モジュール。 [根拠](https://github.com/ldbumble/taskuary/blob/4ad29d7b292a7899767338cfcc83b2dde8f43330/README.md) -- **[Awesome JEV TypeSafe](https://github.com/valentynkit/awesome-jev-typesafe)** · 115 Star — 型付きで信頼度を扱う判断を中心にした TypeSafe JEV 資料一覧。 [根拠](https://github.com/valentynkit/awesome-jev-typesafe/blob/7eec7360d502826b51d1c8862c9fd2d76eecf6e4/readme.md) -- **[Awesome Jev](https://github.com/hellogumbo/awesome-jev)** · 109 Star — awesomejev.com の元カタログで、リポジトリ、連携、デモ、研究を収録。 [根拠](https://github.com/hellogumbo/awesome-jev/blob/e18fa74fa53e27395a074cf94c7a127e912fb090/data/projects.json) -- **[Stanley Code](https://github.com/devagrawal09/stanley-code)** · 106 Star — 専用アダプターを備えたコーディング Agent 向けの限定 JEV ワークフロー。 [根拠](https://github.com/devagrawal09/stanley-code/blob/fd092558ebea389c81d44f9b10e826d9a72afaa3/src/adapters/jev.ts) -- **[JEV Shell History](https://github.com/mrnugget/jev-shell-history)** · 80 Star — JEV によってランク付けされた Fish スタイルの Zsh 履歴提案ツール。コンテキストに基づいてローカル履歴から候補コマンドを順序付けします。 [根拠](https://github.com/mrnugget/jev-shell-history/blob/4b2b75d26c0ccf5726263904514a22a8e11659ea/src/suggest.ts#L1-L196) -- **[Awesome JEV (AppitStudio)](https://github.com/AppitStudio/awesome-jev)** · 66 Star — 実行可能な型付き判断例を含む JEV 資料一覧。 [根拠](https://github.com/AppitStudio/awesome-jev/blob/5d654f24aecf992617bbc45e76f32a36eba62f65/README.md) +- **[Stanley Code](https://github.com/devagrawal09/stanley-code)** · 111 Star — 専用アダプターを備えたコーディング Agent 向けの限定 JEV ワークフロー。 [根拠](https://github.com/devagrawal09/stanley-code/blob/fd092558ebea389c81d44f9b10e826d9a72afaa3/src/adapters/jev.ts) +- **[JEV Shell History](https://github.com/mrnugget/jev-shell-history)** · 96 Star — JEV によってランク付けされた Fish スタイルの Zsh 履歴提案ツール。コンテキストに基づいてローカル履歴から候補コマンドを順序付けします。 [根拠](https://github.com/mrnugget/jev-shell-history/blob/4b2b75d26c0ccf5726263904514a22a8e11659ea/src/suggest.ts#L1-L196) +- **[Awesome JEV (AppitStudio)](https://github.com/AppitStudio/awesome-jev)** · 73 Star — 実行可能な型付き判断例を含む JEV 資料一覧。 [根拠](https://github.com/AppitStudio/awesome-jev/blob/5d654f24aecf992617bbc45e76f32a36eba62f65/README.md) ↑ カテゴリへ戻る ### 業務特化ツール (13) -- **[AI Hedge Fund · JEV Adapter](https://github.com/virattt/ai-hedge-fund)** · 63.6K Star — 構造化された戦略判断のためのオプションの JEV アダプターを備えた教育用ヘッジファンド プロトタイプ。 [根拠](https://github.com/virattt/ai-hedge-fund/blob/154a8b2f46dca0f40764d814e4e747b0ad71f4c4/hedge_fund/llm/client.py) -- **[QuantDinger · JEV Gate](https://github.com/OpenByteInc/QuantDinger)** · 11.9K Star — 選択されたライブエントリーの前に JEV 決定ゲートを備えたオープンソースの取引 OS。 [根拠](https://github.com/OpenByteInc/QuantDinger/blob/12c04eb2cdb8a9d08dc84502f5261ec3f1c56bf7/backend_api_python/app/services/ai_decision_filter.py) -- **[JEV Trader](https://github.com/jarrodwatts/jev-trader)** · 1.7K Star — モナドブロックごとに 1 つの JEV 取引決定を要求できるマーケットメイク実験。 [根拠](https://github.com/jarrodwatts/jev-trader/blob/b587759e459ea049590102e54a0b07800864cdc3/src/model.ts) -- **[Astra + JEV Minecraft Agent](https://github.com/rmalde/minecraft-agent)** · 395 Star — プランナーが目標を定め、JEV が合法なゲーム操作を選ぶ Minecraft Agent。 [根拠](https://github.com/rmalde/minecraft-agent/blob/78b40ed59514e5e2abde33a05ce398ecb2c39e05/models.mjs) -- **[TypeSafe Mario](https://github.com/fhshaik/typesafe-mario)** · 314 Star — JEV 構造化エミュレータ RAM とスクリーンショットの代わりにテレメトリを提供する実験的な NES マリオ コントローラ。 [根拠](https://github.com/fhshaik/typesafe-mario/blob/ca22449ed187118d19326d1f54b01b6636578aa4/README.md) -- **[Jevpilot](https://github.com/standardagents/jevpilot)** · 143 Star — JEV がローカルで生成されたパスと速度の中から選択するブラウザー運転シミュレーター。 [根拠](https://github.com/standardagents/jevpilot/blob/e1beeb13b9a928fb76f167f86af584f4ce9cf180/README.md) -- **[JEV Eval Agent](https://github.com/vinilana/jev-eval-agent)** · 99 Star — 標準 LLM ツールの選択と 100 個のモック ツールにわたる JEV ルーティングを比較するエージェント ツール評価ハーネス。 [根拠](https://github.com/vinilana/jev-eval-agent/blob/037de1120c84b4b63cdf748e2acf258ff66d7731/agent/lib/jev-router.ts#L1-L154) -- **[Formanator](https://github.com/timrogers/formanator)** · 98 Star — 任意の JEV レシート分類を備えた福利厚生申請 CLI / MCP クライアント。 [根拠](https://github.com/timrogers/formanator/blob/548740edef37a4169eef163e4988e64f43a560ec/src/typesafe.rs) -- **[JEV Drone](https://github.com/RomanSlack/jev-drone)** · 96 Star — JEV 戦術的なアドバイスのためにカメラ バッファーからシーンの特徴を導出する MuJoCo ドローン実験。 [根拠](https://github.com/RomanSlack/jev-drone/blob/cbeb53ce4f17a06ea490ae43effcdad231143610/tactics.py#L184) -- **[Dasheng](https://github.com/wquguru/dasheng)** · 90 Star — ストリーミング ASR と単語ごとの JEV 判断を組み合わせた音読練習アプリ。 [根拠](https://github.com/wquguru/dasheng/blob/1bacff4a075527e6c02da242a72d117e7cb3286b/lib/jev.js) -- **[JEV Trade](https://github.com/aowang-ai/jev-trade)** · 68 Star — JEV を限定判断レイヤーに使う Hyperliquid ライブ取引 Agent。 [根拠](https://github.com/aowang-ai/jev-trade/blob/df2c9656324a8a75996eb0612de7adcfe3ce6f89/src/model.ts) -- **[Prism Liquidity Agent](https://github.com/irfndi/prism-liquidity-agent)** · 54 Star — リバランス判断サービスで JEV を使う自律流動性 Agent。 [根拠](https://github.com/irfndi/prism-liquidity-agent/blob/22c67bdbe30bab608226832256a5013ad826b707/engine/jev-service.ts) -- **[Jev Reviewer](https://github.com/choxos/jev-reviewer)** · 30 Star — 試験報告書から原文の引用を抜き出し、システマティックレビューの抽出フォームを埋めるブラウザアプリ。 [根拠](https://github.com/choxos/jev-reviewer/blob/da15868cdca5e64555e6643243a52ea71f60cf3b/docs/jev.js#L51) +- **[AI Hedge Fund · JEV Adapter](https://github.com/virattt/ai-hedge-fund)** · 63.7K Star — 構造化された戦略判断のためのオプションの JEV アダプターを備えた教育用ヘッジファンド プロトタイプ。 [根拠](https://github.com/virattt/ai-hedge-fund/blob/154a8b2f46dca0f40764d814e4e747b0ad71f4c4/hedge_fund/llm/client.py) +- **[QuantDinger · JEV Gate](https://github.com/OpenByteInc/QuantDinger)** · 12.0K Star — 選択されたライブエントリーの前に JEV 決定ゲートを備えたオープンソースの取引 OS。 [根拠](https://github.com/OpenByteInc/QuantDinger/blob/12c04eb2cdb8a9d08dc84502f5261ec3f1c56bf7/backend_api_python/app/services/ai_decision_filter.py) +- **[JEV Trader](https://github.com/jarrodwatts/jev-trader)** · 1.9K Star — モナドブロックごとに 1 つの JEV 取引決定を要求できるマーケットメイク実験。 [根拠](https://github.com/jarrodwatts/jev-trader/blob/b587759e459ea049590102e54a0b07800864cdc3/src/model.ts) +- **[Astra + JEV Minecraft Agent](https://github.com/rmalde/minecraft-agent)** · 485 Star — プランナーが目標を定め、JEV が合法なゲーム操作を選ぶ Minecraft Agent。 [根拠](https://github.com/rmalde/minecraft-agent/blob/78b40ed59514e5e2abde33a05ce398ecb2c39e05/models.mjs) +- **[TypeSafe Mario](https://github.com/fhshaik/typesafe-mario)** · 338 Star — JEV 構造化エミュレータ RAM とスクリーンショットの代わりにテレメトリを提供する実験的な NES マリオ コントローラ。 [根拠](https://github.com/fhshaik/typesafe-mario/blob/ca22449ed187118d19326d1f54b01b6636578aa4/README.md) +- **[Jevpilot](https://github.com/standardagents/jevpilot)** · 155 Star — JEV がローカルで生成されたパスと速度の中から選択するブラウザー運転シミュレーター。 [根拠](https://github.com/standardagents/jevpilot/blob/e1beeb13b9a928fb76f167f86af584f4ce9cf180/README.md) +- **[Dasheng](https://github.com/wquguru/dasheng)** · 119 Star — ストリーミング ASR と単語ごとの JEV 判断を組み合わせた音読練習アプリ。 [根拠](https://github.com/wquguru/dasheng/blob/1bacff4a075527e6c02da242a72d117e7cb3286b/lib/jev.js) +- **[JEV Drone](https://github.com/RomanSlack/jev-drone)** · 119 Star — JEV 戦術的なアドバイスのためにカメラ バッファーからシーンの特徴を導出する MuJoCo ドローン実験。 [根拠](https://github.com/RomanSlack/jev-drone/blob/cbeb53ce4f17a06ea490ae43effcdad231143610/tactics.py#L184) +- **[JEV Eval Agent](https://github.com/vinilana/jev-eval-agent)** · 103 Star — 標準 LLM ツールの選択と 100 個のモック ツールにわたる JEV ルーティングを比較するエージェント ツール評価ハーネス。 [根拠](https://github.com/vinilana/jev-eval-agent/blob/037de1120c84b4b63cdf748e2acf258ff66d7731/agent/lib/jev-router.ts#L1-L154) +- **[Formanator](https://github.com/timrogers/formanator)** · 99 Star — 任意の JEV レシート分類を備えた福利厚生申請 CLI / MCP クライアント。 [根拠](https://github.com/timrogers/formanator/blob/548740edef37a4169eef163e4988e64f43a560ec/src/typesafe.rs) +- **[JEV Trade](https://github.com/aowang-ai/jev-trade)** · 95 Star — JEV を限定判断レイヤーに使う Hyperliquid ライブ取引 Agent。 [根拠](https://github.com/aowang-ai/jev-trade/blob/df2c9656324a8a75996eb0612de7adcfe3ce6f89/src/model.ts) +- **[Prism Liquidity Agent](https://github.com/irfndi/prism-liquidity-agent)** · 69 Star — リバランス判断サービスで JEV を使う自律流動性 Agent。 [根拠](https://github.com/irfndi/prism-liquidity-agent/blob/22c67bdbe30bab608226832256a5013ad826b707/engine/jev-service.ts) +- **[Jev Reviewer](https://github.com/choxos/jev-reviewer)** · 32 Star — 試験報告書から原文の引用を抜き出し、システマティックレビューの抽出フォームを埋めるブラウザアプリ。 [根拠](https://github.com/choxos/jev-reviewer/blob/da15868cdca5e64555e6643243a52ea71f60cf3b/docs/jev.js#L51) ↑ カテゴリへ戻る diff --git a/README.md b/README.md index 78f1618..62b52ab 100644 --- a/README.md +++ b/README.md @@ -5,7 +5,7 @@

Browse the live Awesome JEV gallery · Featured projects · - All 148 projects · + All 171 projects · JSON catalogue · 简体中文 · 日本語 @@ -31,10 +31,10 @@ - 148 - 34 + 171 + 48 10 - 2026-09-21 + 2026-09-22 @@ -44,15 +44,15 @@

Browse by category

- Browser & computer use · 14 · - SDK integrations · 23 · - Routing & optimization · 14 · - Open models · 17 · - Search & data · 9
- Safety & review · 12 · - Agent workflows · 11 · - Interfaces & automation · 8 · - Developer tools · 27 · + Browser & computer use · 15 · + SDK integrations · 28 · + Routing & optimization · 16 · + Open models · 20 · + Search & data · 14
+ Safety & review · 13 · + Agent workflows · 14 · + Interfaces & automation · 9 · + Developer tools · 29 · Domain tools · 13

@@ -61,43 +61,44 @@ | | | | --- | --- | | [![Jev Ultrafast repository preview](https://opengraph.githubassets.com/awesome-jev-20260920/browser-use/jev-ultrafast)](https://github.com/browser-use/jev-ultrafast) | [![LiteLLM repository preview](https://opengraph.githubassets.com/awesome-jev-20260920/BerriAI/litellm)](https://github.com/BerriAI/litellm) | -| **[Jev Ultrafast](https://github.com/browser-use/jev-ultrafast)** · Browser & computer use · 13.8K stars
Chooses a browser action and matching DOM target in one JEV request.
[Original case · 2.9M views](https://x.com/gregpr07/status/2100411066966749359) · [Fixed-commit evidence](https://github.com/browser-use/jev-ultrafast/blob/1231850a0bf1a0c0341fe408ef1668dbbfdfac46/jev_ultrafast/model.py) | **[LiteLLM · JEV Router](https://github.com/BerriAI/litellm)** · Routing & optimization · 59.3K stars
Classifies request complexity before backend model routing.
[Fixed-commit evidence](https://github.com/BerriAI/litellm/blob/56116079c8022da0e8f7ff9ccb017ad5aca5aed2/litellm/router_strategy/complexity_router/jev_classifier.py#L70) | +| **[Jev Ultrafast](https://github.com/browser-use/jev-ultrafast)** · Browser & computer use · 16.3K stars
Chooses a browser action and matching DOM target in one JEV request.
[Original case · 2.9M views](https://x.com/gregpr07/status/2100411066966749359) · [Fixed-commit evidence](https://github.com/browser-use/jev-ultrafast/blob/1231850a0bf1a0c0341fe408ef1668dbbfdfac46/jev_ultrafast/model.py) | **[LiteLLM · JEV Router](https://github.com/BerriAI/litellm)** · Routing & optimization · 59.4K stars
Classifies request complexity before backend model routing.
[Fixed-commit evidence](https://github.com/BerriAI/litellm/blob/56116079c8022da0e8f7ff9ccb017ad5aca5aed2/litellm/router_strategy/complexity_router/jev_classifier.py#L70) | | [![LangChain repository preview](https://opengraph.githubassets.com/awesome-jev-20260920/langchain-ai/langchain)](https://github.com/langchain-ai/langchain) | [![Vercel AI SDK repository preview](https://opengraph.githubassets.com/awesome-jev-20260920/vercel/ai)](https://github.com/vercel/ai) | | **[LangChain · TypeSafe](https://github.com/langchain-ai/langchain)** · SDK integration · 146.8K stars
Exposes binary, classification, and ordinal JEV decisions inside Python workflows.
[Fixed-commit evidence](https://github.com/langchain-ai/langchain/blob/eba445b7563d1709427bd8072892975a6ea59fdc/libs/partners/typesafe/langchain_typesafe/classifier.py) | **[Vercel AI SDK · TypeSafe](https://github.com/vercel/ai)** · SDK integration · 26.9K stars
Maps choice, score, and yes/no questions onto a unified evaluate interface.
[Fixed-commit evidence](https://github.com/vercel/ai/blob/73ec7015edd4f04ca9144ce93a8a037a731e5db8/packages/typesafe-ai/src/typesafe-ai-evaluation-model.ts) | | [![Laya repository preview](https://opengraph.githubassets.com/awesome-jev-20260920/NandhaKishorM/laya)](https://github.com/NandhaKishorM/laya) | [![jegrep repository preview](https://opengraph.githubassets.com/awesome-jev-20260920/can1357/jegrep)](https://github.com/can1357/jegrep) | -| **[Laya](https://github.com/NandhaKishorM/laya)** · Open model · 6.7K stars
Multilingual System 1 typed decisions in one forward pass, with a checkpoint router.
[Hugging Face model](https://huggingface.co/convaiinnovations/laya) · [Fixed-commit evidence](https://github.com/NandhaKishorM/laya/blob/d113dca2512fb3eaca313534bc54c7162d87c1d4/README.md)| **[jegrep](https://github.com/can1357/jegrep)** · Search & data
Searches live code trees semantically without building an index.
[Fixed-commit evidence](https://github.com/can1357/jegrep/blob/a280f14f6da8163bde67e0c49f58b23517a02882/src/jev.rs) | +| **[Laya](https://github.com/NandhaKishorM/laya)** · Open model · 11.5K stars
Multilingual System 1 typed decisions in one forward pass, with a checkpoint router.
[Hugging Face model](https://huggingface.co/convaiinnovations/laya) · [Fixed-commit evidence](https://github.com/NandhaKishorM/laya/blob/d113dca2512fb3eaca313534bc54c7162d87c1d4/README.md)| **[jegrep](https://github.com/can1357/jegrep)** · Search & data
Searches live code trees semantically without building an index.
[Fixed-commit evidence](https://github.com/can1357/jegrep/blob/a280f14f6da8163bde67e0c49f58b23517a02882/src/jev.rs) | | [![Cua repository preview](https://opengraph.githubassets.com/awesome-jev-20260920/trycua/cua)](https://github.com/trycua/cua) | [![Agentgateway repository preview](https://opengraph.githubassets.com/awesome-jev-20260920/agentgateway/agentgateway)](https://github.com/agentgateway/agentgateway) | -| **[Cua · JEV Use](https://github.com/trycua/cua)** · Browser & computer use · 25.4K stars
Selects an action ID from DOM or visual-region descriptions.
[Fixed-commit evidence](https://github.com/trycua/cua/blob/83f142c4290a0f7d9ed545ae8532858c6e4f8145/libs/cua-driver/examples/jev-use/python/jev_adapter.py#L11) | **[Agentgateway · JEV Guardrail](https://github.com/agentgateway/agentgateway)** · Safety & review · 5.0K stars
Scores jailbreak, harmful-content, and secret-leakage checks at the gateway.
[Fixed-commit evidence](https://github.com/agentgateway/agentgateway/blob/6b0270efd25b5255932943e48b5ca47583d3ad28/examples/llm-guardrail-jev/guardrail.ts) | +| **[Cua · JEV Use](https://github.com/trycua/cua)** · Browser & computer use · 25.8K stars
Selects an action ID from DOM or visual-region descriptions.
[Fixed-commit evidence](https://github.com/trycua/cua/blob/83f142c4290a0f7d9ed545ae8532858c6e4f8145/libs/cua-driver/examples/jev-use/python/jev_adapter.py#L11) | **[Agentgateway · JEV Guardrail](https://github.com/agentgateway/agentgateway)** · Safety & review · 5.0K stars
Scores jailbreak, harmful-content, and secret-leakage checks at the gateway.
[Fixed-commit evidence](https://github.com/agentgateway/agentgateway/blob/6b0270efd25b5255932943e48b5ca47583d3ad28/examples/llm-guardrail-jev/guardrail.ts) | | [![NewsJack repository preview](https://opengraph.githubassets.com/awesome-jev-20260920/elvisun/newsjack)](https://github.com/elvisun/newsjack) | [![QuantDinger repository preview](https://opengraph.githubassets.com/awesome-jev-20260920/OpenByteInc/QuantDinger)](https://github.com/OpenByteInc/QuantDinger) | -| **[NewsJack](https://github.com/elvisun/newsjack)** · Agent workflow · 1.3K stars
Filters hundreds of live news items before an agent handles the selected opportunities.
[Original case · 583K views](https://x.com/elvissun/status/2100951347080421409) · [Fixed-commit evidence](https://github.com/elvisun/newsjack/tree/092d882fc69912622f620c50eb493afe625f99dc/demos/news-desk-dealer) | **[QuantDinger · JEV Gate](https://github.com/OpenByteInc/QuantDinger)** · Domain tool · 11.9K stars
Adds an evidence and risk gate before selected live-trading entries.
[Fixed-commit evidence](https://github.com/OpenByteInc/QuantDinger/blob/12c04eb2cdb8a9d08dc84502f5261ec3f1c56bf7/backend_api_python/app/services/ai_decision_filter.py) | +| **[NewsJack](https://github.com/elvisun/newsjack)** · Agent workflow · 1.3K stars
Filters hundreds of live news items before an agent handles the selected opportunities.
[Original case · 583K views](https://x.com/elvissun/status/2100951347080421409) · [Fixed-commit evidence](https://github.com/elvisun/newsjack/tree/092d882fc69912622f620c50eb493afe625f99dc/demos/news-desk-dealer) | **[QuantDinger · JEV Gate](https://github.com/OpenByteInc/QuantDinger)** · Domain tool · 12.0K stars
Adds an evidence and risk gate before selected live-trading entries.
[Fixed-commit evidence](https://github.com/OpenByteInc/QuantDinger/blob/12c04eb2cdb8a9d08dc84502f5261ec3f1c56bf7/backend_api_python/app/services/ai_decision_filter.py) |

Explore with filters and full descriptions →

-## All 148 projects +## All 171 projects -### Browser & computer use (14) +### Browser & computer use (15) -- **[Cua · JEV Use](https://github.com/trycua/cua)** · 25.4K stars — A computer-use example pairing Cua Driver observation and execution with bounded JEV choices. [Source](https://github.com/trycua/cua/blob/83f142c4290a0f7d9ed545ae8532858c6e4f8145/libs/cua-driver/examples/jev-use/python/jev_adapter.py#L11) -- **[Jev Ultrafast](https://github.com/browser-use/jev-ultrafast)** · 13.8K stars — A browser agent that uses JEV to choose an action and matching DOM element, calling a text model only when input text is needed. [Source](https://github.com/browser-use/jev-ultrafast/blob/1231850a0bf1a0c0341fe408ef1668dbbfdfac46/jev_ultrafast/model.py) +- **[Cua · JEV Use](https://github.com/trycua/cua)** · 25.8K stars — A computer-use example pairing Cua Driver observation and execution with bounded JEV choices. [Source](https://github.com/trycua/cua/blob/83f142c4290a0f7d9ed545ae8532858c6e4f8145/libs/cua-driver/examples/jev-use/python/jev_adapter.py#L11) +- **[Jev Ultrafast](https://github.com/browser-use/jev-ultrafast)** · 16.3K stars — A browser agent that uses JEV to choose an action and matching DOM element, calling a text model only when input text is needed. [Source](https://github.com/browser-use/jev-ultrafast/blob/1231850a0bf1a0c0341fe408ef1668dbbfdfac46/jev_ultrafast/model.py) - **[Agent Desktop · JEV Skill](https://github.com/lahfir/agent-desktop)** · 1.4K stars — An optional JEV skill that chooses native desktop controls and actions from accessibility data. [Source](https://github.com/lahfir/agent-desktop/blob/7a8e4a10281c7319733aa200fd79501f34529716/scripts/jev/act.mjs) -- **[TypeSafe Computer Use](https://github.com/awlevin/typesafe-computer-use)** · 693 stars — Builds candidate actions from OCR and UI state for Jev to control macOS, calling a text model only when writing is needed. [Source](https://github.com/awlevin/typesafe-computer-use/blob/cc7b5066ae1a07b5e3182e8f87a9b5b6dfdcffc1/typesafe_computer_use/decide.py) -- **[Omg.dev](https://github.com/BennyKok/omg.dev)** · 533 stars — An omg.dev mobile testing script can use Jev to read the accessibility tree and choose the next interaction. [Source](https://github.com/BennyKok/omg.dev/blob/a00f56684a569ee417be787c148eaa9874946f2b/mobile/scripts/jev.ts) -- **[Jev CU](https://github.com/Sac-Y/Jev-cu)** · 519 stars — Computer-use helpers that call JEV to decide the next UI action. [Source](https://github.com/Sac-Y/Jev-cu/blob/38fb31de7dfe6209bbe6e04057c00c6e885ba577/scripts/jev-decide.mjs) -- **[Mobile JEV](https://github.com/droidrun/mobile-jev)** · 304 stars — Controls an Android phone through Mobilerun, with a web studio and CLI showing Jev decisions. [Source](https://github.com/droidrun/mobile-jev/blob/395fc222beac4f059f9a0beb337d114a2b066e99/scripts/mobile-agent/policy.mjs#L224) -- **[JEV Browser Use](https://github.com/wy-coliney/jev-browser-use)** · 291 stars — A Skill for Codex browser workflows: Jev chooses navigation, clicks, and scrolling while Codex handles text input and final checks. [Source](https://github.com/wy-coliney/jev-browser-use/blob/f14b60e0ae1ee90cd73eb6650e30a666a84c021a/skills/jev-browser-use/bridge.mjs) -- **[Third Hand](https://github.com/shhivv/third-hand)** · 270 stars — A Swift client stack that calls JEV while driving local computer-use style helpers. [Source](https://github.com/shhivv/third-hand/blob/430394b35dbb44ff8b303bf19da29b0828d92bd2/Sources/ThirdHand/JevClient.swift) -- **[JEV Browser](https://github.com/jkudish/jev-browser)** · 209 stars — Drives a browser from a task and URL, returning the final page, screenshot and action trace. [Source](https://github.com/jkudish/jev-browser/blob/8d90c51bedbe7cd07596bfaa532ded019a31d2a8/src/navigate.ts#L1) -- **[JEV Voice Browser](https://github.com/moritzkremb/jev-voice-browser)** · 187 stars — Controls a Playwright browser by sending incremental speech transcripts to Jev. [Source](https://github.com/moritzkremb/jev-voice-browser/blob/054db0f3dbf537af63a8117632d3f941ccd520e1/src/jev.js#L123) -- **[JEV Use](https://github.com/savka777/jev-use)** · 79 stars — A macOS computer-use harness that drives Accessibility controls without a vision model. [Source](https://github.com/savka777/jev-use/blob/8907f85354addfa3d2b78f6a462087e4c73310b8/README.md) -- **[TypeSafe Adblock](https://github.com/realZachi/typesafe-adblock)** · 64 stars — An experimental Chrome extension that asks Jev whether candidate DOM elements are ads, then highlights or removes them. [Source](https://github.com/realZachi/typesafe-adblock/blob/7e067d243d87b7fe4d511653c0ddcd77b9beee18/src/typesafe.js) -- **[JEV Browser](https://github.com/Ying-Kai-Liao/jev-browser)** · 62 stars — A browser automation library, CLI, and MCP server pairing LLM plans with JEV actions. [Source](https://github.com/Ying-Kai-Liao/jev-browser/blob/578cff6e701a131733d03256078bb559a45ad188/src/jev.mjs) +- **[TypeSafe Computer Use](https://github.com/awlevin/typesafe-computer-use)** · 765 stars — Builds candidate actions from OCR and UI state for Jev to control macOS, calling a text model only when writing is needed. [Source](https://github.com/awlevin/typesafe-computer-use/blob/cc7b5066ae1a07b5e3182e8f87a9b5b6dfdcffc1/typesafe_computer_use/decide.py) +- **[Jev CU](https://github.com/Sac-Y/Jev-cu)** · 549 stars — Computer-use helpers that call JEV to decide the next UI action. [Source](https://github.com/Sac-Y/Jev-cu/blob/38fb31de7dfe6209bbe6e04057c00c6e885ba577/scripts/jev-decide.mjs) +- **[Omg.dev](https://github.com/BennyKok/omg.dev)** · 535 stars — An omg.dev mobile testing script can use Jev to read the accessibility tree and choose the next interaction. [Source](https://github.com/BennyKok/omg.dev/blob/a00f56684a569ee417be787c148eaa9874946f2b/mobile/scripts/jev.ts) +- **[JEV Browser Use](https://github.com/wy-coliney/jev-browser-use)** · 334 stars — A Skill for Codex browser workflows: Jev chooses navigation, clicks, and scrolling while Codex handles text input and final checks. [Source](https://github.com/wy-coliney/jev-browser-use/blob/f14b60e0ae1ee90cd73eb6650e30a666a84c021a/skills/jev-browser-use/bridge.mjs) +- **[Mobile JEV](https://github.com/droidrun/mobile-jev)** · 329 stars — Controls an Android phone through Mobilerun, with a web studio and CLI showing Jev decisions. [Source](https://github.com/droidrun/mobile-jev/blob/395fc222beac4f059f9a0beb337d114a2b066e99/scripts/mobile-agent/policy.mjs#L224) +- **[Third Hand](https://github.com/shhivv/third-hand)** · 283 stars — A Swift client stack that calls JEV while driving local computer-use style helpers. [Source](https://github.com/shhivv/third-hand/blob/430394b35dbb44ff8b303bf19da29b0828d92bd2/Sources/ThirdHand/JevClient.swift) +- **[JEV Browser](https://github.com/jkudish/jev-browser)** · 231 stars — Drives a browser from a task and URL, returning the final page, screenshot and action trace. [Source](https://github.com/jkudish/jev-browser/blob/8d90c51bedbe7cd07596bfaa532ded019a31d2a8/src/navigate.ts#L1) +- **[JEV Voice Browser](https://github.com/moritzkremb/jev-voice-browser)** · 216 stars — Controls a Playwright browser by sending incremental speech transcripts to Jev. [Source](https://github.com/moritzkremb/jev-voice-browser/blob/054db0f3dbf537af63a8117632d3f941ccd520e1/src/jev.js#L123) +- **[Arc CUA · TypeSafe Policy](https://github.com/shhivv/arc-cua)** · 127 stars — A fast computer-use action layer with a TypeSafe policy implementation. [Source](https://github.com/shhivv/arc-cua/blob/6d47ce6c906d7d8586d3553e277c1c3611c4f6af/src/arc_cua/policies/typesafe.py) +- **[JEV Use](https://github.com/savka777/jev-use)** · 86 stars — A macOS computer-use harness that drives Accessibility controls without a vision model. [Source](https://github.com/savka777/jev-use/blob/8907f85354addfa3d2b78f6a462087e4c73310b8/README.md) +- **[TypeSafe Adblock](https://github.com/realZachi/typesafe-adblock)** · 68 stars — An experimental Chrome extension that asks Jev whether candidate DOM elements are ads, then highlights or removes them. [Source](https://github.com/realZachi/typesafe-adblock/blob/7e067d243d87b7fe4d511653c0ddcd77b9beee18/src/typesafe.js) +- **[JEV Browser](https://github.com/Ying-Kai-Liao/jev-browser)** · 67 stars — A browser automation library, CLI, and MCP server pairing LLM plans with JEV actions. [Source](https://github.com/Ying-Kai-Liao/jev-browser/blob/578cff6e701a131733d03256078bb559a45ad188/src/jev.mjs) ↑ Back to categories -### SDK integrations (23) +### SDK integrations (28) - **[LangChain · TypeSafe](https://github.com/langchain-ai/langchain)** · 146.8K stars — An optional JEV classifier integration for Python LangChain workflows. [Source](https://github.com/langchain-ai/langchain/blob/eba445b7563d1709427bd8072892975a6ea59fdc/libs/partners/typesafe/langchain_typesafe/classifier.py) - **[Composio · TypeSafe Provider](https://github.com/ComposioHQ/composio)** · 30.3K stars — A TypeSafe provider that uses JEV to choose among tools and bounded argument options. [Source](https://github.com/ComposioHQ/composio/blob/4b5920bf7aa55c8a44657b060d4bd25ce7b13a9a/ts/packages/providers/typesafe/src/decide.ts) @@ -106,181 +107,203 @@ - **[Eliza · TypeSafe Client](https://github.com/elizaOS/eliza)** · 19.4K stars — An optional TypeSafe HTTP adapter in the Eliza agent operating system. [Source](https://github.com/elizaOS/eliza/blob/ebc808e3a67fb941e29153d89fc896524d32fe3c/packages/agent/src/services/typesafe/client.ts) - **[LangChain.js · TypeSafe](https://github.com/langchain-ai/langchainjs)** · 18.2K stars — A TypeSafeClassifier integration for JavaScript LangChain workflows. [Source](https://github.com/langchain-ai/langchainjs/blob/206d8b992bcf90ce7d46f2158f1ad85fc1d826c0/libs/providers/langchain-typesafe/src/classifier.ts) - **[Rig · TypeSafe Crate](https://github.com/0xPlaygrounds/rig)** · 8.7K stars — An experimental Rust crate for expressing JEV questions and answers with Rust types. [Source](https://github.com/0xPlaygrounds/rig/blob/2d16c1b25f6749b3a2cd841beddf767106495069/crates/rig-typesafeai/src/wire.rs#L40) +- **[Bifrost · TypeSafe Provider](https://github.com/maximhq/bifrost)** · 8.2K stars — Bifrost exposes TypeSafe as a native provider through its shared decision operation. [Source](https://github.com/maximhq/bifrost/blob/40c3f7ee3a1a4277c5b269b850ca7725d419907f/core/providers/typesafe/typesafe.go) +- **[GPT-Load · JEV Provider](https://github.com/tbphp/gpt-load)** · 6.9K stars — A self-hosted AI gateway with a first-class JEV channel and native Decisions routes. [Source](https://github.com/tbphp/gpt-load/blob/93502ced3a650018a35ed76c54573e90742b8ccc/internal/channel/modules/jev.go) +- **[Open Connector · TypeSafe](https://github.com/oomol-lab/open-connector)** · 5.9K stars — Open Connector exposes TypeSafe evaluation through its provider runtime. [Source](https://github.com/oomol-lab/open-connector/blob/4e6d8533ae436cba4781b6fb69d1bf31e5fb5ffe/src/providers/typesafe_ai/runtime.ts) +- **[Kiln · JEV Adapter](https://github.com/Kiln-AI/Kiln)** · 5.1K stars — Kiln maps compatible JSON schemas to JEV questions for structured single-turn tasks. [Source](https://github.com/Kiln-AI/Kiln/blob/5992e2e51ec6782fce33f277145954ba3ae8467e/libs/core/kiln_ai/adapters/model_adapters/jev_adapter.py) - **[Ax · TypeSafe Client](https://github.com/ax-llm/ax)** · 2.9K stars — A TypeSafe integration for boolean, finite-class, and native JEV signatures. [Source](https://github.com/ax-llm/ax/blob/5c43344f9ef3016db576fa2c3b59d48ef21b4d71/src/ax/ai/typesafe/client.ts#L1) +- **[http4k · TypeSafe Client](https://github.com/http4k/http4k)** · 2.8K stars — A typed Kotlin client and fake implementation for the TypeSafe System One API. [Source](https://github.com/http4k/http4k/blob/528ef94c9533b42be9010396bd1828ed1c84c9d2/connect/ai/typesafe/client/src/main/kotlin/org/http4k/connect/typesafe/action/SystemOne.kt) - **[Vellum Assistant · JEV](https://github.com/vellum-ai/vellum-assistant)** · 1.3K stars — An optional JEV provider that submits conversation state and explicit questions. [Source](https://github.com/vellum-ai/vellum-assistant/blob/ee5ba342719e72b67698c2e1a4a78837321d0b1d/assistant/src/providers/jev/client.ts) -- **[Req LLM](https://github.com/agentjido/req_llm)** · 580 stars — A TypeSafe provider for calling Jev through ReqLLM’s evaluate interface in Elixir. [Source](https://github.com/agentjido/req_llm/blob/9cb0ee7a0fea5f3520fc953911d352c93193615e/README.md) -- **[Simple JEV](https://github.com/featherless-ai/simple-jev)** · 428 stars — Adapter turning open LLM endpoints into Jev-compatible classification services without training a separate classifier head. [Source](https://github.com/featherless-ai/simple-jev/blob/0dd5396ffce671ab7c4bfc031506d8e558cf8d23/demos/jevpilot/src/simple-jev-api.js#L1-L85) -- **[Classifier.dev](https://github.com/mrmps/classifier-dev)** · 396 stars — A zero-shot classification service with JEV as its primary typed-decision backend. [Source](https://github.com/mrmps/classifier-dev/blob/33ca63816f2bc7e93c3f2d0715f7896500370739/src/jev.ts) +- **[Req LLM](https://github.com/agentjido/req_llm)** · 581 stars — A TypeSafe provider for calling Jev through ReqLLM’s evaluate interface in Elixir. [Source](https://github.com/agentjido/req_llm/blob/9cb0ee7a0fea5f3520fc953911d352c93193615e/README.md) +- **[Simple JEV](https://github.com/featherless-ai/simple-jev)** · 458 stars — Adapter turning open LLM endpoints into Jev-compatible classification services without training a separate classifier head. [Source](https://github.com/featherless-ai/simple-jev/blob/0dd5396ffce671ab7c4bfc031506d8e558cf8d23/demos/jevpilot/src/simple-jev-api.js#L1-L85) +- **[Classifier.dev](https://github.com/mrmps/classifier-dev)** · 406 stars — A zero-shot classification service with JEV as its primary typed-decision backend. [Source](https://github.com/mrmps/classifier-dev/blob/33ca63816f2bc7e93c3f2d0715f7896500370739/src/jev.ts) - **[Instructor Php](https://github.com/cognesy/instructor-php)** · 327 stars — A TypeSafe Decision driver within Instructor PHP’s Polyglot module. [Source](https://github.com/cognesy/instructor-php/blob/bb1160ce2360dcf1434788c46ee97809fe782ea3/README.md) +- **[Openjev](https://github.com/razorback16/openjev)** · 286 stars — An independent System One decision server compatible with Jev’s API, running an open DiffusionGemma model. [Source](https://github.com/razorback16/openjev/blob/91d5005effcf8cc0ecccaa9538ceabbb130fef59/openjev/api.py) - **[Openai Scala Client](https://github.com/cequence-io/openai-scala-client)** · 248 stars — A dedicated TypeSafe module in a Scala client that supports multiple AI providers. [Source](https://github.com/cequence-io/openai-scala-client/blob/cfabe8842344da713615d0121a7804840649eb46/README.md) -- **[Openjev](https://github.com/razorback16/openjev)** · 245 stars — An independent System One decision server compatible with Jev’s API, running an open DiffusionGemma model. [Source](https://github.com/razorback16/openjev/blob/91d5005effcf8cc0ecccaa9538ceabbb130fef59/openjev/api.py) -- **[Pi Fabric](https://github.com/monotykamary/pi-fabric)** · 241 stars — Pi’s programmable runtime includes an optional Jev loop for observing state, making decisions and running bounded actions. [Source](https://github.com/monotykamary/pi-fabric/blob/2e5fcdd94cc364445b115756edefcaab24f68928/README.md) -- **[System One Adapter (Python)](https://github.com/typesafe-ai/system-one-adapter-python)** · 218 stars — A drop-in TypeSafeClient replacement that backs System One calls with ordinary LLM APIs. [Source](https://github.com/typesafe-ai/system-one-adapter-python/blob/adffc2eab300a4fa3c0e92252d4ffd6ceaa53700/src/system_one_adapter/_client.py) -- **[TypeSafe SDK Js](https://github.com/typesafe-ai/typesafe-sdk-js)** · 196 stars — The JavaScript and TypeScript SDK published by TypeSafe, with typed Jev requests and answers. [Source](https://github.com/typesafe-ai/typesafe-sdk-js/blob/66880ccded6cb642dc1809620c2b108c33730214/README.md) -- **[TypeSafe SDK Python](https://github.com/typesafe-ai/typesafe-sdk-python)** · 171 stars — Official TypeSafe Python SDK with synchronous and asynchronous clients for Jev System One, plus question and answer types. [Source](https://github.com/typesafe-ai/typesafe-sdk-python/blob/2ce5c65f13646cab6e6f782328194c9d85f3300a/src/typesafe_sdk/_core/client/sync/client.py#L206-L221) -- **[Runline](https://github.com/Michaelliv/runline)** · 162 stars — A TypeSafe plugin exposing Jev decisions as callable actions in Runline Agent JavaScript. [Source](https://github.com/Michaelliv/runline/blob/6bdddfa82cd95b6b9a07e57fd93a271ae83a0d1b/README.md) +- **[Pi Fabric](https://github.com/monotykamary/pi-fabric)** · 244 stars — Pi’s programmable runtime includes an optional Jev loop for observing state, making decisions and running bounded actions. [Source](https://github.com/monotykamary/pi-fabric/blob/2e5fcdd94cc364445b115756edefcaab24f68928/README.md) +- **[System One Adapter (Python)](https://github.com/typesafe-ai/system-one-adapter-python)** · 243 stars — A drop-in TypeSafeClient replacement that backs System One calls with ordinary LLM APIs. [Source](https://github.com/typesafe-ai/system-one-adapter-python/blob/adffc2eab300a4fa3c0e92252d4ffd6ceaa53700/src/system_one_adapter/_client.py) +- **[TypeSafe SDK Js](https://github.com/typesafe-ai/typesafe-sdk-js)** · 214 stars — The JavaScript and TypeScript SDK published by TypeSafe, with typed Jev requests and answers. [Source](https://github.com/typesafe-ai/typesafe-sdk-js/blob/66880ccded6cb642dc1809620c2b108c33730214/README.md) +- **[TypeSafe SDK Python](https://github.com/typesafe-ai/typesafe-sdk-python)** · 188 stars — Official TypeSafe Python SDK with synchronous and asynchronous clients for Jev System One, plus question and answer types. [Source](https://github.com/typesafe-ai/typesafe-sdk-python/blob/2ce5c65f13646cab6e6f782328194c9d85f3300a/src/typesafe_sdk/_core/client/sync/client.py#L206-L221) +- **[Runline](https://github.com/Michaelliv/runline)** · 163 stars — A TypeSafe plugin exposing Jev decisions as callable actions in Runline Agent JavaScript. [Source](https://github.com/Michaelliv/runline/blob/6bdddfa82cd95b6b9a07e57fd93a271ae83a0d1b/README.md) - **[AI](https://github.com/hackclub/ai)** · 133 stars — A Jev forwarding endpoint in the Hack Club AI proxy, using its authentication, limits and usage logging. [Source](https://github.com/hackclub/ai/blob/a76ea2cb159f707a60107935a5b2e0dbdc7455f5/README.md) - **[Effect Agent](https://github.com/danieljvdm/effect-agent)** · 121 stars — An Effect Agent TypeSafe decision provider for typed question sets and optional model selection. [Source](https://github.com/danieljvdm/effect-agent/blob/88005e497e9b627eeb16d670f278903c57601da9/README.md) -- **[Advocaat](https://github.com/pithings/advocaat)** · 88 stars — A small TypeScript client for asking Jev multiple typed questions about the same data. [Source](https://github.com/pithings/advocaat/blob/bc46287fc1102b95852a81d679c6e34a2c44f4a2/README.md) +- **[Advocaat](https://github.com/pithings/advocaat)** · 89 stars — A small TypeScript client for asking Jev multiple typed questions about the same data. [Source](https://github.com/pithings/advocaat/blob/bc46287fc1102b95852a81d679c6e34a2c44f4a2/README.md) ↑ Back to categories -### Routing & optimization (14) +### Routing & optimization (16) -- **[LiteLLM · JEV Router](https://github.com/BerriAI/litellm)** · 59.3K stars — LiteLLM can use JEV inside its complexity-based model router. [Source](https://github.com/BerriAI/litellm/blob/56116079c8022da0e8f7ff9ccb017ad5aca5aed2/litellm/router_strategy/complexity_router/jev_classifier.py#L70) -- **[Oh My Pi · JEV Judgments](https://github.com/can1357/oh-my-pi)** · 32.2K stars — A coding agent with an optional TypeSafe judgment provider for bounded workflow decisions. [Source](https://github.com/can1357/oh-my-pi/blob/78b753124d11f8dd3ae73e2524125890ff7c977e/packages/ai/src/judgment/typesafe.ts#L4) +- **[LiteLLM · JEV Router](https://github.com/BerriAI/litellm)** · 59.4K stars — LiteLLM can use JEV inside its complexity-based model router. [Source](https://github.com/BerriAI/litellm/blob/56116079c8022da0e8f7ff9ccb017ad5aca5aed2/litellm/router_strategy/complexity_router/jev_classifier.py#L70) +- **[Oh My Pi · JEV Judgments](https://github.com/can1357/oh-my-pi)** · 32.4K stars — A coding agent with an optional TypeSafe judgment provider for bounded workflow decisions. [Source](https://github.com/can1357/oh-my-pi/blob/78b753124d11f8dd3ae73e2524125890ff7c977e/packages/ai/src/judgment/typesafe.ts#L4) - **[OpenChamber · JEV Router](https://github.com/openchamber/openchamber)** · 10.2K stars — An optional automatic model router that classifies a message before model selection. [Source](https://github.com/openchamber/openchamber/blob/614d7f76e581a132a86575c03d3fa9aad5e624b6/packages/web/server/lib/routing/jev.js) - **[Firstmate · JEV Dispatch](https://github.com/kunchenguid/firstmate)** · 6.9K stars — An agent crew dispatcher that can match task briefs to rules with JEV. [Source](https://github.com/kunchenguid/firstmate/blob/4812db801628040b609dc25a2a8a91ed5efac662/bin/fm-dispatch-resolve.sh) -- **[Atomic](https://github.com/bastani-inc/atomic)** · 809 stars — An optional Jev decision backend in the Atomic coding Agent for bounded structured choices such as routing. [Source](https://github.com/bastani-inc/atomic/blob/33ca4ccb5f39488aeba67c0212a52a31cd14059d/packages/coding-agent/src/core/structured-output/jev.ts) -- **[Vexjoy Agent](https://github.com/notque/vexjoy-agent)** · 421 stars — An optional Jev routing path that matches VexJoy requests to specialist Agents, skills and workflows. [Source](https://github.com/notque/vexjoy-agent/blob/ab51ee7da567e84f72f76d73b6e7b83cec5ef060/README.md) -- **[Hermes JEV Skills](https://github.com/kerpopule/hermes-jev-skills)** · 335 stars — JEV-powered routing, memory, compaction, skill selection, and computer/browser use for Hermes agents. [Source](https://github.com/kerpopule/hermes-jev-skills/blob/a5d89014fbeca5102c5e7ccd3915afcd856505d8/jevkit/choose.py) -- **[WrongStack](https://github.com/WrongStack/WrongStack)** · 329 stars — An optional Jev dispatch classifier for choosing among WrongStack specialist Agents. [Source](https://github.com/WrongStack/WrongStack/blob/4cf97c0aa4f855751949ee8e99c719d06f4c26e0/README.md) -- **[JEV Router](https://github.com/gargpratyush/jev-router)** · 283 stars — A Claude Code and CLI proxy that asks Jev to score task complexity and pick a model from the account’s available set. [Source](https://github.com/gargpratyush/jev-router/blob/38da6b84ea01241bfc41fbddc0928d0f40a703f0/src/policy.mjs#L1-L63) -- **[Skillbox](https://github.com/kitze/skillbox)** · 220 stars — A self-hosted, versioned Agent skills library with optional Jev recommendations. [Source](https://github.com/kitze/skillbox/blob/d83ba4ecd254c8dfa6a759d1feb5141384e26a9e/README.md) -- **[JEV Codex Router](https://github.com/0xNatoshi/jev-codex-router)** · 125 stars — Uses Jev to classify each Codex turn, then applies local rules to choose the model, reasoning effort, and speed mode. [Source](https://github.com/0xNatoshi/jev-codex-router/blob/8292b519659280884627a962c826ac7721136a64/server/jev_server.py) -- **[JevRouter](https://github.com/BillionsBobby/JevRouter)** · 125 stars — A lightweight JEV router for models, tools, and subagents. [Source](https://github.com/BillionsBobby/JevRouter/blob/715970774ae8070e958e83ac9b1a780b32a9184c/src/provider.ts) -- **[Grok Bot JEV](https://github.com/Bodila51/grok-bot-jev)** · 68 stars — A JEV decision layer for Grok Bot with usage gates and skill templates. [Source](https://github.com/Bodila51/grok-bot-jev/blob/1583e09928c138aeac0aa89818c67ea41f08e807/README.md) -- **[Agent Router](https://github.com/nidhi-singh02/agent-router)** · 58 stars — A CLI that routes tasks to coding agents, models, and reasoning effort with JEV. [Source](https://github.com/nidhi-singh02/agent-router/blob/ad7571f38ea31ffbf3c28391f9e6d6383a7c08ba/packages/router/src/semantic/typesafe-client.ts) +- **[Agent Router · TypeSafe](https://github.com/theagentrouter/agent-router)** · 2.1K stars — Agent Router provides a native TypeSafe System One translator in its Envoy-based gateway. [Source](https://github.com/theagentrouter/agent-router/blob/7d7c07ffdb14241362def2f7d3f76cbd06d518cc/internal/translator/typesafe_systemone.go) +- **[LLMGateway · System One](https://github.com/theopenco/llmgateway)** · 1.7K stars — LLMGateway implements a native System One route with typed schemas and provider mappings. [Source](https://github.com/theopenco/llmgateway/blob/24de43b5f307ecbdee9aad386b68aee76de4ae8c/apps/gateway/src/systemone/systemone.ts) +- **[Atomic](https://github.com/bastani-inc/atomic)** · 812 stars — An optional Jev decision backend in the Atomic coding Agent for bounded structured choices such as routing. [Source](https://github.com/bastani-inc/atomic/blob/33ca4ccb5f39488aeba67c0212a52a31cd14059d/packages/coding-agent/src/core/structured-output/jev.ts) +- **[Vexjoy Agent](https://github.com/notque/vexjoy-agent)** · 423 stars — An optional Jev routing path that matches VexJoy requests to specialist Agents, skills and workflows. [Source](https://github.com/notque/vexjoy-agent/blob/ab51ee7da567e84f72f76d73b6e7b83cec5ef060/README.md) +- **[Hermes JEV Skills](https://github.com/kerpopule/hermes-jev-skills)** · 401 stars — JEV-powered routing, memory, compaction, skill selection, and computer/browser use for Hermes agents. [Source](https://github.com/kerpopule/hermes-jev-skills/blob/a5d89014fbeca5102c5e7ccd3915afcd856505d8/jevkit/choose.py) +- **[WrongStack](https://github.com/WrongStack/WrongStack)** · 331 stars — An optional Jev dispatch classifier for choosing among WrongStack specialist Agents. [Source](https://github.com/WrongStack/WrongStack/blob/4cf97c0aa4f855751949ee8e99c719d06f4c26e0/README.md) +- **[JEV Router](https://github.com/gargpratyush/jev-router)** · 316 stars — A Claude Code and CLI proxy that asks Jev to score task complexity and pick a model from the account’s available set. [Source](https://github.com/gargpratyush/jev-router/blob/38da6b84ea01241bfc41fbddc0928d0f40a703f0/src/policy.mjs#L1-L63) +- **[Skillbox](https://github.com/kitze/skillbox)** · 223 stars — A self-hosted, versioned Agent skills library with optional Jev recommendations. [Source](https://github.com/kitze/skillbox/blob/d83ba4ecd254c8dfa6a759d1feb5141384e26a9e/README.md) +- **[JEV Codex Router](https://github.com/0xNatoshi/jev-codex-router)** · 184 stars — Uses Jev to classify each Codex turn, then applies local rules to choose the model, reasoning effort, and speed mode. [Source](https://github.com/0xNatoshi/jev-codex-router/blob/8292b519659280884627a962c826ac7721136a64/server/jev_server.py) +- **[JevRouter](https://github.com/BillionsBobby/JevRouter)** · 145 stars — A lightweight JEV router for models, tools, and subagents. [Source](https://github.com/BillionsBobby/JevRouter/blob/715970774ae8070e958e83ac9b1a780b32a9184c/src/provider.ts) +- **[Grok Bot JEV](https://github.com/Bodila51/grok-bot-jev)** · 74 stars — A JEV decision layer for Grok Bot with usage gates and skill templates. [Source](https://github.com/Bodila51/grok-bot-jev/blob/1583e09928c138aeac0aa89818c67ea41f08e807/README.md) +- **[Agent Router](https://github.com/nidhi-singh02/agent-router)** · 63 stars — A CLI that routes tasks to coding agents, models, and reasoning effort with JEV. [Source](https://github.com/nidhi-singh02/agent-router/blob/ad7571f38ea31ffbf3c28391f9e6d6383a7c08ba/packages/router/src/semantic/typesafe-client.ts) ↑ Back to categories -### Open models (17) - -- **[Laya](https://github.com/NandhaKishorM/laya)** · 6.7K stars — Multilingual non-autoregressive System 1 decision engine: typed choice/score/noul in one forward pass, with a router across checkpoints. [Source](https://github.com/NandhaKishorM/laya/blob/d113dca2512fb3eaca313534bc54c7162d87c1d4/README.md) -- **[SemIf](https://github.com/TheoLeeCJ/SemIf)** · 2.7K stars — An independent open-model implementation of the semantic-if interface pattern. [Source](https://github.com/TheoLeeCJ/SemIf/blob/ca3ba65f142967030ecb453346e94d6f476a69df/README.md) -- **[NanoJev](https://github.com/TianyuCodings/NanoJev)** · 1.7K stars — A 0.6B open replica of the JEV interface with parallel decisions and a training pipeline. [Source](https://github.com/TianyuCodings/NanoJev/blob/71a513bb0163b5634467842b523ee0c0ed6fb1c7/README.md) -- **[Kev 0.5B](https://github.com/jaredpalmer/kev)** · 1.5K stars — A tiny trainable Jev-like decision model based on Qwen2.5-0.5B. [Source](https://github.com/jaredpalmer/kev/blob/20fa6268c8ceb226530be2fb5266ab2c36b37724/README.md) -- **[Nimble](https://github.com/bespokelabsai/nimble)** · 1.4K stars — An open toolkit for local typed decisions, data curation, and evaluation. [Source](https://github.com/bespokelabsai/nimble/blob/35fe1f4fdbc64fa3dbbf5ac0042f3f5680c1ad28/README.md) -- **[Jevlike](https://github.com/vinnylarouge/jevlike)** · 1.1K stars — An independent starter model that scores a changing list of text or visual options in one pass. [Source](https://github.com/vinnylarouge/jevlike/blob/94f5fd1b0b11d52bbdfdf4e0ee6aa96b568f8452/README.md) -- **[LocalJev](https://github.com/githubnext/localjev)** · 657 stars — A local Jev-compatible server with benchmarks across small local models. [Source](https://github.com/githubnext/localjev/blob/3f23e36e1a3bff46c7e83e8e3781d3512bc82021/README.md) -- **[Splash](https://github.com/incoai/splash)** · 506 stars — A local Apple Silicon inference engine oriented around decision-style models. [Source](https://github.com/incoai/splash/blob/f53d5ab543a7accdc332c060fd594a693f33f529/README.md) -- **[Von](https://github.com/wfzyx/von)** · 297 stars — An open, local System One decision model with a JEV-compatible interface. [Source](https://github.com/wfzyx/von/blob/14d09878e89b103bfbbe641f9bed02e4d72c8830/README.md) -- **[OpenJEV SGLang](https://github.com/ekzhang/openjev-sglang)** · 245 stars — A JEV-compatible API endpoint built on open models with a prefill-only serving path. [Source](https://github.com/ekzhang/openjev-sglang/blob/604664a22b2cf44c6cc499e503092ae4e3c24c03/src/openjev/__init__.py) -- **[OpenJEV Verdict 2.0](https://github.com/Heman10x-NGU/openJev-verdict-2.0)** · 221 stars — A calibrated ~151M non-autoregressive local decision engine aiming at JEV-style typed answers. [Source](https://github.com/Heman10x-NGU/openJev-verdict-2.0/blob/a458733c5f43fc7f30b6e4381636cbfbf8437633/openjev/__init__.py) -- **[JEV Visual](https://github.com/hr98w/jev-visual)** · 192 stars — An educational JEV-like visual inference experiment on Apple Silicon with shared context scoring. [Source](https://github.com/hr98w/jev-visual/blob/19af545f096e8db4c4dd5d47aed42d92ec252111/jev_visual/scoring.py) -- **[Jeff](https://github.com/logan-markewich/jeff)** · 183 stars — A self-hosted Jev-compatible service powered by GliFormer. [Source](https://github.com/logan-markewich/jeff/blob/34b32f99a727c47b679adde33f4702a001e02979/README.md) -- **[Decider](https://github.com/Mapika/decider)** · 180 stars — One-pass typed decisions with calibrated probabilities, fine-tuned from Qwen3.5-2B. [Source](https://github.com/Mapika/decider/blob/c4daaac28af9fea95d627015cffa2dd5a5926ee6/decider/__init__.py) -- **[djev-spark](https://github.com/mmastrac/djev-spark)** · 152 stars — A DGX Spark container recipe for running DiffusionGemma NVFP4 structured decisions. [Source](https://github.com/mmastrac/djev-spark/blob/1444f3e927f83ba508e5b28a4fd4fdd9ecd0976b/README.md) -- **[Reflex](https://github.com/kshetrajna12/reflex)** · 91 stars — A small open decision model that recreates the JEV/System One interface on Qwen. [Source](https://github.com/kshetrajna12/reflex/blob/e21b3b23afdfeee7021a6604fa38f57e7ff5187f/README.md) -- **[Open JEV](https://github.com/daseinlabs/open-jev)** · 82 stars — An open JEV-style implementation with custom fine-tuning support. [Source](https://github.com/daseinlabs/open-jev/blob/8a4fbdf712e78c5ef45509a16aacb81facdd79be/README.md) +### Open models (20) + +- **[Laya](https://github.com/NandhaKishorM/laya)** · 11.5K stars — Multilingual non-autoregressive System 1 decision engine: typed choice/score/noul in one forward pass, with a router across checkpoints. [Source](https://github.com/NandhaKishorM/laya/blob/d113dca2512fb3eaca313534bc54c7162d87c1d4/README.md) +- **[SemIf](https://github.com/TheoLeeCJ/SemIf)** · 3.4K stars — An independent open-model implementation of the semantic-if interface pattern. [Source](https://github.com/TheoLeeCJ/SemIf/blob/ca3ba65f142967030ecb453346e94d6f476a69df/README.md) +- **[Kev 0.5B](https://github.com/jaredpalmer/kev)** · 2.6K stars — A tiny trainable Jev-like decision model based on Qwen2.5-0.5B. [Source](https://github.com/jaredpalmer/kev/blob/20fa6268c8ceb226530be2fb5266ab2c36b37724/README.md) +- **[NanoJev](https://github.com/TianyuCodings/NanoJev)** · 1.9K stars — A 0.6B open replica of the JEV interface with parallel decisions and a training pipeline. [Source](https://github.com/TianyuCodings/NanoJev/blob/71a513bb0163b5634467842b523ee0c0ed6fb1c7/README.md) +- **[Nimble](https://github.com/bespokelabsai/nimble)** · 1.5K stars — An open toolkit for local typed decisions, data curation, and evaluation. [Source](https://github.com/bespokelabsai/nimble/blob/35fe1f4fdbc64fa3dbbf5ac0042f3f5680c1ad28/README.md) +- **[Jevlike](https://github.com/vinnylarouge/jevlike)** · 1.2K stars — An independent starter model that scores a changing list of text or visual options in one pass. [Source](https://github.com/vinnylarouge/jevlike/blob/94f5fd1b0b11d52bbdfdf4e0ee6aa96b568f8452/README.md) +- **[LocalJev](https://github.com/githubnext/localjev)** · 704 stars — A local Jev-compatible server with benchmarks across small local models. [Source](https://github.com/githubnext/localjev/blob/3f23e36e1a3bff46c7e83e8e3781d3512bc82021/README.md) +- **[Splash](https://github.com/incoai/splash)** · 578 stars — A local Apple Silicon inference engine oriented around decision-style models. [Source](https://github.com/incoai/splash/blob/f53d5ab543a7accdc332c060fd594a693f33f529/README.md) +- **[Von](https://github.com/wfzyx/von)** · 374 stars — An open, local System One decision model with a JEV-compatible interface. [Source](https://github.com/wfzyx/von/blob/14d09878e89b103bfbbe641f9bed02e4d72c8830/README.md) +- **[Decider](https://github.com/Mapika/decider)** · 279 stars — One-pass typed decisions with calibrated probabilities, fine-tuned from Qwen3.5-2B. [Source](https://github.com/Mapika/decider/blob/c4daaac28af9fea95d627015cffa2dd5a5926ee6/decider/__init__.py) +- **[OpenJEV SGLang](https://github.com/ekzhang/openjev-sglang)** · 258 stars — A JEV-compatible API endpoint built on open models with a prefill-only serving path. [Source](https://github.com/ekzhang/openjev-sglang/blob/604664a22b2cf44c6cc499e503092ae4e3c24c03/src/openjev/__init__.py) +- **[OpenJEV Verdict 2.0](https://github.com/Heman10x-NGU/openJev-verdict-2.0)** · 246 stars — A calibrated ~151M non-autoregressive local decision engine aiming at JEV-style typed answers. [Source](https://github.com/Heman10x-NGU/openJev-verdict-2.0/blob/a458733c5f43fc7f30b6e4381636cbfbf8437633/openjev/__init__.py) +- **[JEV Visual](https://github.com/hr98w/jev-visual)** · 221 stars — An educational JEV-like visual inference experiment on Apple Silicon with shared context scoring. [Source](https://github.com/hr98w/jev-visual/blob/19af545f096e8db4c4dd5d47aed42d92ec252111/jev_visual/scoring.py) +- **[Jeff](https://github.com/logan-markewich/jeff)** · 205 stars — A self-hosted Jev-compatible service powered by GliFormer. [Source](https://github.com/logan-markewich/jeff/blob/34b32f99a727c47b679adde33f4702a001e02979/README.md) +- **[Laya Node Runtime](https://github.com/receptron/laya)** · 195 stars — A Node.js and TypeScript runtime for the open Laya JEV-compatible decision model. [Source](https://github.com/receptron/laya/blob/6478649e723122ca24bbf5fb69ed1010023c9750/src/laya.ts) +- **[djev-spark](https://github.com/mmastrac/djev-spark)** · 168 stars — A DGX Spark container recipe for running DiffusionGemma NVFP4 structured decisions. [Source](https://github.com/mmastrac/djev-spark/blob/1444f3e927f83ba508e5b28a4fd4fdd9ecd0976b/README.md) +- **[LLM2Jev](https://github.com/Yinsongxu/LLM2Jev)** · 125 stars — An adapter that turns local language models into JEV-compatible structured decision engines. [Source](https://github.com/Yinsongxu/LLM2Jev/blob/6fbbf74fc604f92fc9b0b67f0989157bb2908229/src/llm2jev/inference/binary.py) +- **[Reflex](https://github.com/kshetrajna12/reflex)** · 110 stars — A small open decision model that recreates the JEV/System One interface on Qwen. [Source](https://github.com/kshetrajna12/reflex/blob/e21b3b23afdfeee7021a6604fa38f57e7ff5187f/README.md) +- **[Open JEV](https://github.com/daseinlabs/open-jev)** · 91 stars — An open JEV-style implementation with custom fine-tuning support. [Source](https://github.com/daseinlabs/open-jev/blob/8a4fbdf712e78c5ef45509a16aacb81facdd79be/README.md) +- **[OpenJev](https://github.com/SiliconLabAI/OpenJev)** · 67 stars — An open-source JEV-compatible implementation for typed decision requests. [Source](https://github.com/SiliconLabAI/OpenJev/blob/a08e969c37b2e4a37f95b3426f983bd94303590c/README.md) ↑ Back to categories -### Search & data (9) - -- **[Kody](https://github.com/kentcdodds/kody)** · 659 stars — Optional second-stage search: widen the hybrid pool, then Score-rerank candidates with Workers AI typesafe/jev. [Source](https://github.com/kentcdodds/kody/blob/ed9275186dc817530dd2289e62c208ac3809391f/packages/worker/src/mcp/tools/search-jev-rerank.ts) -- **[Jev Experiments](https://github.com/dabit3/jev-experiments)** · 352 stars — Small Jev experiments including intent search and agent-assist flows. [Source](https://github.com/dabit3/jev-experiments/tree/c469e5bfdc73eb3e1999bba2569e66b579a970fd/agent-assist) -- **[JEV Search](https://github.com/superagents-lab/jev-search)** · 352 stars — Searches the web with Jev choosing sources and time ranges, then ranking returned links. [Source](https://github.com/superagents-lab/jev-search/blob/522868762f0637b20bf533f136e930cceb83b9f3/src/lib/typesafe.ts#L48) -- **[Tax Document Classifier](https://github.com/kyotofin/tax-doc-classifier)** · 314 stars — Classifies extracted tax-document pages against a fixed IRS form catalogue. [Source](https://github.com/kyotofin/tax-doc-classifier/blob/6afcf701395466d7c936ec8178daf017b9d96b0c/src/backend.ts) -- **[Pg JEV](https://github.com/realZachi/pg-jev)** · 259 stars — Adds natural-language filtering, classification, and ranking of rows to PostgreSQL queries. [Source](https://github.com/realZachi/pg-jev/blob/afd11fa856d7a2b831a1bfd8ee7f869ce8efcd62/sql/jev--0.2.0.sql) -- **[jev-semgrep](https://github.com/uehaj/jev-semgrep)** · 122 stars — Meaning-based grep with multilingual AND, OR, NOT, and probability thresholds. [Source](https://github.com/uehaj/jev-semgrep/blob/ba6ef50f85d0c5d6caa4db102ee4db4a08c85dd2/README.md) +### Search & data (14) + +- **[OpenViking · JEV Rerank](https://github.com/volcengine/OpenViking)** · 38.4K stars — OpenViking can use JEV as a calibrated reranker for agent memory and context retrieval. [Source](https://github.com/volcengine/OpenViking/blob/b8bed5a1ad3a1c524b5e1fd0fa591df51ca9b7cc/openviking/models/rerank/jev_rerank.py) +- **[Hindsight · TypeSafe Rerank](https://github.com/vectorize-io/hindsight)** · 24.8K stars — An agent-memory system with a TypeSafe reranker that can prune irrelevant recall candidates. [Source](https://github.com/vectorize-io/hindsight/blob/680406b3dd9cca2108c7f0e204820a09b4e30906/hindsight-api-slim/hindsight_api/engine/cross_encoder.py) +- **[GreptimeDB · JEV SQL](https://github.com/GreptimeTeam/greptimedb)** · 6.7K stars — GreptimeDB adds an experimental SQL predicate backed by JEV judgments. [Source](https://github.com/GreptimeTeam/greptimedb/blob/b5199bc59a199875187d808158357a33b09e5f60/src/common/function/src/scalars/jev.rs) +- **[Kody](https://github.com/kentcdodds/kody)** · 663 stars — Optional second-stage search: widen the hybrid pool, then Score-rerank candidates with Workers AI typesafe/jev. [Source](https://github.com/kentcdodds/kody/blob/ed9275186dc817530dd2289e62c208ac3809391f/packages/worker/src/mcp/tools/search-jev-rerank.ts) +- **[JEV Search](https://github.com/superagents-lab/jev-search)** · 385 stars — Searches the web with Jev choosing sources and time ranges, then ranking returned links. [Source](https://github.com/superagents-lab/jev-search/blob/522868762f0637b20bf533f136e930cceb83b9f3/src/lib/typesafe.ts#L48) +- **[Jev Experiments](https://github.com/dabit3/jev-experiments)** · 358 stars — Small Jev experiments including intent search and agent-assist flows. [Source](https://github.com/dabit3/jev-experiments/tree/c469e5bfdc73eb3e1999bba2569e66b579a970fd/agent-assist) +- **[Tax Document Classifier](https://github.com/kyotofin/tax-doc-classifier)** · 348 stars — Classifies extracted tax-document pages against a fixed IRS form catalogue. [Source](https://github.com/kyotofin/tax-doc-classifier/blob/6afcf701395466d7c936ec8178daf017b9d96b0c/src/backend.ts) +- **[Pg JEV](https://github.com/realZachi/pg-jev)** · 286 stars — Adds natural-language filtering, classification, and ranking of rows to PostgreSQL queries. [Source](https://github.com/realZachi/pg-jev/blob/afd11fa856d7a2b831a1bfd8ee7f869ce8efcd62/sql/jev--0.2.0.sql) +- **[SiftRank · JEV](https://github.com/noperator/siftrank)** · 202 stars — A command-line ranking tool that uses JEV to find relevant items in large collections. [Source](https://github.com/noperator/siftrank/blob/03e7afe3289a204ea3dcc51613cea91877a651de/pkg/siftrank/jev_provider.go) +- **[DocJEV](https://github.com/jerryjliu/docjev)** · 201 stars — A document classifier and splitter with a dedicated JEV engine. [Source](https://github.com/jerryjliu/docjev/blob/7e6b48d3f7eec8db7b582e7276f2778c0d12ca3d/src/jev_docs/engines/jev.py) +- **[jev-semgrep](https://github.com/uehaj/jev-semgrep)** · 124 stars — Meaning-based grep with multilingual AND, OR, NOT, and probability thresholds. [Source](https://github.com/uehaj/jev-semgrep/blob/ba6ef50f85d0c5d6caa4db102ee4db4a08c85dd2/README.md) +- **[Neo4JEV](https://github.com/jexp/neo4jev)** · 81 stars — A Neo4j graph navigator that uses JEV to classify the next relationship. [Source](https://github.com/jexp/neo4jev/blob/d157bbe496eb91813475156942bef1c6badfb342/src/neo4jev/navigator.py) - **[Pg TypeSafe](https://github.com/giuliosmall/pg_typesafe)** · 81 stars — A pre-alpha PostgreSQL C extension for calling Jev from SQL for classification, yes/no judgments, and scoring. [Source](https://github.com/giuliosmall/pg_typesafe/blob/4b5bfc1df11b18c3f07bb10804eeb47e4508ec6a/typesafe.c) -- **[jegrep](https://github.com/can1357/jegrep)** · 57 stars — Semantic grep for live code trees: describe what you need, get files and original line ranges without building an index. [Source](https://github.com/can1357/jegrep/blob/a280f14f6da8163bde67e0c49f58b23517a02882/src/jev.rs) -- **[Neo4JEV](https://github.com/jexp/neo4jev)** · 57 stars — A Neo4j graph navigator that uses JEV to classify the next relationship. [Source](https://github.com/jexp/neo4jev/blob/d157bbe496eb91813475156942bef1c6badfb342/src/neo4jev/navigator.py) +- **[jegrep](https://github.com/can1357/jegrep)** · 75 stars — Semantic grep for live code trees: describe what you need, get files and original line ranges without building an index. [Source](https://github.com/can1357/jegrep/blob/a280f14f6da8163bde67e0c49f58b23517a02882/src/jev.rs) ↑ Back to categories -### Safety & review (12) +### Safety & review (13) +- **[Sub2API · JEV Moderation](https://github.com/Wei-Shaw/sub2api)** · 42.3K stars — A subscription-to-API gateway with a native TypeSafe client for content moderation. [Source](https://github.com/Wei-Shaw/sub2api/blob/1c0a69c0ceddb2fd21581c17ab09f6c500b89ba1/backend/internal/pkg/typesafe/client.go) - **[Agentgateway · JEV Guardrail](https://github.com/agentgateway/agentgateway)** · 5.0K stars — A JEV webhook guardrail example for inspecting model requests and responses. [Source](https://github.com/agentgateway/agentgateway/blob/6b0270efd25b5255932943e48b5ca47583d3ad28/examples/llm-guardrail-jev/guardrail.ts) - **[Latitude · JEV Preclassifier](https://github.com/latitude-dev/latitude-llm)** · 4.7K stars — An optional JEV preclassifier for selecting which conversation checks should run. [Source](https://github.com/latitude-dev/latitude-llm/blob/6b2484c1d74973877fc7d353b8867c7496568d78/packages/domain/flaggers/src/use-cases/run-jev-preclassifier.ts#L1) -- **[Agent](https://github.com/AgentiLoop/Agent)** · 618 stars — An optional Jev command-risk advisor inside a native macOS Agent, with a TypeSafeKit client. [Source](https://github.com/AgentiLoop/Agent/blob/078f87ceca1d1190cc73706ac8ec16442e766a27/README.md) -- **[jev-align](https://github.com/sutro-sh/jev-align)** · 253 stars — A CLI for calibrating Jev classifiers from human examples with GEPA. [Source](https://github.com/sutro-sh/jev-align/blob/49753df924d30c0d3642b58e0b9b1e89921dc102/README.md) -- **[Abide](https://github.com/coldteadotai/abide)** · 199 stars — A coding-agent rule layer for constraints that ordinary linters cannot express. [Source](https://github.com/coldteadotai/abide/blob/ec3352e873163b74aca1ac9cf3bd0ea69a97723a/README.md) -- **[Interlinked CLI](https://github.com/QuentinCody/interlinked-cli)** · 178 stars — Interlinked adds optional Jev judgments and evidence checks to local coding-agent checks. [Source](https://github.com/QuentinCody/interlinked-cli/blob/207330d8131c5203ecc74e9fd4c24ba416463718/src/harness/jev/client.ts#L14) -- **[Unclutter](https://github.com/kitze/unclutter)** · 152 stars — A browser extension using Jev to identify ads, promotions, and subscription popups and save reusable hiding rules. [Source](https://github.com/kitze/unclutter/blob/9ef9beccc1e57b4e3115ae68644b8fc9c19c29f6/lib/jev.ts) -- **[Pi JEV](https://github.com/y0usaf/pi-jev)** · 131 stars — A Pi extension that flags tool risks before execution and checks output for secrets and failure types. [Source](https://github.com/y0usaf/pi-jev/blob/b3478fd4ca1ac8ffcb703f6dc8d6069b555f531e/README.md) -- **[Pi Warden](https://github.com/DevMortimer/pi-warden)** · 118 stars — Adds checks for project rules, out-of-scope actions, repeated failures, and completion claims to Pi Agents. [Source](https://github.com/DevMortimer/pi-warden/blob/e6c801679464b1a9624225114eb5fb443c27d823/src/guard.ts) -- **[Supercov](https://github.com/supercorp-ai/supercov)** · 85 stars — A code-quality and coverage tool that uses JEV for bounded quality checks. [Source](https://github.com/supercorp-ai/supercov/blob/55f5ce93a239829c224b89e6749991310be91ea4/crates/supercov-cli/src/quality.rs) +- **[Agent](https://github.com/AgentiLoop/Agent)** · 622 stars — An optional Jev command-risk advisor inside a native macOS Agent, with a TypeSafeKit client. [Source](https://github.com/AgentiLoop/Agent/blob/078f87ceca1d1190cc73706ac8ec16442e766a27/README.md) +- **[jev-align](https://github.com/sutro-sh/jev-align)** · 271 stars — A CLI for calibrating Jev classifiers from human examples with GEPA. [Source](https://github.com/sutro-sh/jev-align/blob/49753df924d30c0d3642b58e0b9b1e89921dc102/README.md) +- **[Abide](https://github.com/coldteadotai/abide)** · 207 stars — A coding-agent rule layer for constraints that ordinary linters cannot express. [Source](https://github.com/coldteadotai/abide/blob/ec3352e873163b74aca1ac9cf3bd0ea69a97723a/README.md) +- **[Interlinked CLI](https://github.com/QuentinCody/interlinked-cli)** · 177 stars — Interlinked adds optional Jev judgments and evidence checks to local coding-agent checks. [Source](https://github.com/QuentinCody/interlinked-cli/blob/207330d8131c5203ecc74e9fd4c24ba416463718/src/harness/jev/client.ts#L14) +- **[Unclutter](https://github.com/kitze/unclutter)** · 176 stars — A browser extension using Jev to identify ads, promotions, and subscription popups and save reusable hiding rules. [Source](https://github.com/kitze/unclutter/blob/9ef9beccc1e57b4e3115ae68644b8fc9c19c29f6/lib/jev.ts) +- **[Pi JEV](https://github.com/y0usaf/pi-jev)** · 134 stars — A Pi extension that flags tool risks before execution and checks output for secrets and failure types. [Source](https://github.com/y0usaf/pi-jev/blob/b3478fd4ca1ac8ffcb703f6dc8d6069b555f531e/README.md) +- **[Pi Warden](https://github.com/DevMortimer/pi-warden)** · 132 stars — Adds checks for project rules, out-of-scope actions, repeated failures, and completion claims to Pi Agents. [Source](https://github.com/DevMortimer/pi-warden/blob/e6c801679464b1a9624225114eb5fb443c27d823/src/guard.ts) +- **[Supercov](https://github.com/supercorp-ai/supercov)** · 94 stars — A code-quality and coverage tool that uses JEV for bounded quality checks. [Source](https://github.com/supercorp-ai/supercov/blob/55f5ce93a239829c224b89e6749991310be91ea4/crates/supercov-cli/src/quality.rs) - **[Captaincore](https://github.com/CaptainCore/captaincore)** · 71 stars — Jev commands in the WordPress toolkit CaptainCore answer structured questions and prioritize malware scanner findings for review. [Source](https://github.com/CaptainCore/captaincore/blob/f54e0669350707b2f4f4c67a0130fdd6574bd0b5/cmd/typesafe.go) -- **[Oxlint Plugin JEV](https://github.com/wobsoriano/oxlint-plugin-jev)** · 52 stars — An Oxlint plugin that evaluates semantic lint rules with JEV. [Source](https://github.com/wobsoriano/oxlint-plugin-jev/blob/18c5bc9097d88344382a98a78a67698c9c7ecf01/src/jev.ts) +- **[Oxlint Plugin JEV](https://github.com/wobsoriano/oxlint-plugin-jev)** · 55 stars — An Oxlint plugin that evaluates semantic lint rules with JEV. [Source](https://github.com/wobsoriano/oxlint-plugin-jev/blob/18c5bc9097d88344382a98a78a67698c9c7ecf01/src/jev.ts) ↑ Back to categories -### Agent workflows (11) +### Agent workflows (14) - **[Jev Model Router](https://github.com/davila7/claude-code-templates)** · 30.9K stars — A Claude Code mod that classifies subagent model and reasoning-effort needs. [Source](https://github.com/davila7/claude-code-templates/blob/61bfcd1586bf1076f6d3cfa0436317c912811e6c/cli-tool/components/mods/productivity/jev-model-router/hooks/jev-model-router.ts) - **[Openwork](https://github.com/different-ai/openwork)** · 23.7K stars — An open-source cowork-style agent workspace that can run JEV-backed reviews inside CI and skill workflows. [Source](https://github.com/different-ai/openwork/blob/80c74d2160034fa1738fc6be78dd24ddfeccfc59/.github/scripts/jev-test-coverage-review.mjs) - **[Eve](https://github.com/vercel/eve)** · 5.3K stars — Vercel’s open agent framework for packaging skills, evals, and tool-using workflows. [Source](https://github.com/vercel/eve/blob/d004e6d47e9d25d0380c24b5a47b65a18f8b2784/README.md) +- **[RNSkill · JEV Office Gate](https://github.com/Pluviobyte/rnskill)** · 1.6K stars — An agent-skill collection containing a JEV gate for bounded office-document checks. [Source](https://github.com/Pluviobyte/rnskill/blob/83d1783b892bbaa29a137895ff8338264b6872fa/skills/jev-office-gate/scripts/jev_office_gate.py) - **[NewsJack](https://github.com/elvisun/newsjack)** · 1.3K stars — An open-source PR workflow that screens a live news feed for timely brand opportunities. [Source](https://github.com/elvisun/newsjack/tree/092d882fc69912622f620c50eb493afe625f99dc/demos/news-desk-dealer) +- **[Distill · JEV Runtime](https://github.com/samuelfaj/distill)** · 683 stars — A coding-agent runtime with JEV lanes for routing, compaction, memory, and tool-result handling. [Source](https://github.com/samuelfaj/distill/blob/d5f031153cb817f023138a9a0b3fce5516f727c4/crates/codegen/distill-shell/src/jev.rs) - **[Smithers](https://github.com/smithersai/smithers)** · 418 stars — An agentic TypeScript workflow framework with a first-class JEV classify path. [Source](https://github.com/smithersai/smithers/blob/394ada6a3fb815b4b62cfc7bc2242e238d42ff44/apps/server/src/jev.ts) -- **[Compact Adviser](https://github.com/kunchenguid/compact-adviser)** · 157 stars — A coding-agent skill/plugin that advises when to compact context to save tokens. [Source](https://github.com/kunchenguid/compact-adviser/blob/d1655faa16a22b68bff60c3d7deb0123e1e52a53/packages/codex-plugin/skills/compact-adviser/SKILL.md) -- **[JEV Pruner](https://github.com/tamaratran/jev-pruner)** · 130 stars — A Claude Code plugin that trims long Bash output with TypeSafe JEV before the model sees it. [Source](https://github.com/tamaratran/jev-pruner/blob/47d017c34eab7690b95f075ce6f4839247c5dc0a/src/jev.ts) -- **[Skillranker](https://github.com/Dicklesworthstone/skillranker)** · 107 stars — A Rust CLI that ranks agent skills against live session context with JEV. [Source](https://github.com/Dicklesworthstone/skillranker/blob/16743e9f9dee04850d01015d8f5c863a4ed4d0ff/README.md) +- **[Compact Adviser](https://github.com/kunchenguid/compact-adviser)** · 173 stars — A coding-agent skill/plugin that advises when to compact context to save tokens. [Source](https://github.com/kunchenguid/compact-adviser/blob/d1655faa16a22b68bff60c3d7deb0123e1e52a53/packages/codex-plugin/skills/compact-adviser/SKILL.md) +- **[JEV Pruner](https://github.com/tamaratran/jev-pruner)** · 134 stars — A Claude Code plugin that trims long Bash output with TypeSafe JEV before the model sees it. [Source](https://github.com/tamaratran/jev-pruner/blob/47d017c34eab7690b95f075ce6f4839247c5dc0a/src/jev.ts) +- **[jev-gateway](https://github.com/vinilana/jev-gateway)** · 115 stars — A gateway for inserting Jev decisions into Claude Code and Codex tool flows. [Source](https://github.com/vinilana/jev-gateway/blob/9463952bf118773fb955427d2725a98f76546233/README.md) +- **[Skillranker](https://github.com/Dicklesworthstone/skillranker)** · 109 stars — A Rust CLI that ranks agent skills against live session context with JEV. [Source](https://github.com/Dicklesworthstone/skillranker/blob/16743e9f9dee04850d01015d8f5c863a4ed4d0ff/README.md) - **[Bluenoise](https://github.com/rokcso/bluenoise)** · 90 stars — An X/Twitter filtering extension using local rules by default, with optional Jev checks for unmatched replies. [Source](https://github.com/rokcso/bluenoise/blob/ef81ea7a7c3677501d6de8f9235a4d6a866b573a/entrypoints/background.ts) -- **[jev-gateway](https://github.com/vinilana/jev-gateway)** · 79 stars — A gateway for inserting Jev decisions into Claude Code and Codex tool flows. [Source](https://github.com/vinilana/jev-gateway/blob/9463952bf118773fb955427d2725a98f76546233/README.md) +- **[JEV DSH Decision](https://github.com/Devin-AXIS/jev-dsh-decision)** · 78 stars — A structured JEV decision plugin for DeepSeek Harness and compatible coding-agent hosts. [Source](https://github.com/Devin-AXIS/jev-dsh-decision/blob/adc88caa9bf174d367e79a5f254c7936bcef088e/service/jev.mjs) - **[Save Token JEV Clean](https://github.com/IAmUnbounded/save-token-jev-clean)** · 62 stars — A context cleaner that asks JEV which history to retain, truncate, or drop. [Source](https://github.com/IAmUnbounded/save-token-jev-clean/blob/a7007354a8d3747f06ff82130561edb2822a17df/src/client.ts) ↑ Back to categories -### Interfaces & automation (8) +### Interfaces & automation (9) -- **[json-render · JEV Compose](https://github.com/vercel-labs/json-render)** · 17.7K stars — A JEV UI-composition experiment that selects from predefined components and properties. [Source](https://github.com/vercel-labs/json-render/blob/3ad381881194e7011ad3ccd6d668033495a06c29/apps/web/lib/jev/compose.ts) +- **[json-render · JEV Compose](https://github.com/vercel-labs/json-render)** · 18.0K stars — A JEV UI-composition experiment that selects from predefined components and properties. [Source](https://github.com/vercel-labs/json-render/blob/3ad381881194e7011ad3ccd6d668033495a06c29/apps/web/lib/jev/compose.ts) +- **[JEV Chat Jarvis](https://github.com/jev-chat/jev-chat-jarvis)** · 1.6K stars — An Android conversation copilot that reads visible chat context and proposes replies without auto-sending. [Source](https://github.com/jev-chat/jev-chat-jarvis/blob/d8720521fa13aa5172a891cba95c5dd8aeb44a11/app/src/main/java/com/jev/probe/jev/JevClient.kt) - **[Aiavatarkit](https://github.com/uezo/aiavatarkit)** · 678 stars — An optional AIAvatarKit component uses Jev to judge turn endings from speech transcripts. [Source](https://github.com/uezo/aiavatarkit/blob/38b617b8b9269939734e70ef503d7ea6976acdbd/aiavatar/sts/vad/turn_end_gates/jev.py#L172) -- **[TipTour macOS](https://github.com/milind-soni/tiptour-macos)** · 627 stars — A local macOS computer-use companion driven by Jev or Gemini Live. [Source](https://github.com/milind-soni/tiptour-macos/blob/52582467c883d66484542f3be8e259340eb524f1/README.md) -- **[Notra](https://github.com/usenotra/notra)** · 199 stars — A product that turns work artifacts into publishable content with agent skill hooks. [Source](https://github.com/usenotra/notra/blob/f792a620ef1066b34665ec84c6f55fc9ca5d9954/README.md) +- **[TipTour macOS](https://github.com/milind-soni/tiptour-macos)** · 642 stars — A local macOS computer-use companion driven by Jev or Gemini Live. [Source](https://github.com/milind-soni/tiptour-macos/blob/52582467c883d66484542f3be8e259340eb524f1/README.md) +- **[Notra](https://github.com/usenotra/notra)** · 207 stars — A product that turns work artifacts into publishable content with agent skill hooks. [Source](https://github.com/usenotra/notra/blob/f792a620ef1066b34665ec84c6f55fc9ca5d9954/README.md) - **[OpenWhisper](https://github.com/Knuckles92/OpenWhisper)** · 187 stars — A dictation and meeting-notes app with optional Jev checks for topic changes, note-taker instructions and sensitive text. [Source](https://github.com/Knuckles92/OpenWhisper/blob/9e83653df183096104769e302a3c907cb277c551/README.md) +- **[JEV Chat](https://github.com/w3cj/jev-chat)** · 84 stars — A tool-using chat interface where JEV chooses only from code-supplied reply and tool options. [Source](https://github.com/w3cj/jev-chat/blob/e543aba8c21b57a28a748ef41966502130f0f69e/apps/server/src/jev/pools.ts) +- **[Jevmeter](https://github.com/ChetasLua/jevmeter)** · 81 stars — Creates edited videos with score meters by asking Jev to rate transcript sentences against selected rubrics. [Source](https://github.com/ChetasLua/jevmeter/blob/cbf8e117b5b8835e3294c3a8ee652c7dfa737a9a/jevmeter/score.py) - **[Youtube Sponsor Detection](https://github.com/trungdq88/youtube-sponsor-detection)** · 81 stars — YouTube extension detecting sponsored segments from live audio and transcripts using Jev, skipping promotional blocks automatically. [Source](https://github.com/trungdq88/youtube-sponsor-detection/blob/de01f0568d043035889a296a61ce21e0accc8b16/extension/lib/jev.js#L1-L541) -- **[Jevmeter](https://github.com/ChetasLua/jevmeter)** · 77 stars — Creates edited videos with score meters by asking Jev to rate transcript sentences against selected rubrics. [Source](https://github.com/ChetasLua/jevmeter/blob/cbf8e117b5b8835e3294c3a8ee652c7dfa737a9a/jevmeter/score.py) -- **[JEV Chat](https://github.com/w3cj/jev-chat)** · 71 stars — A tool-using chat interface where JEV chooses only from code-supplied reply and tool options. [Source](https://github.com/w3cj/jev-chat/blob/e543aba8c21b57a28a748ef41966502130f0f69e/apps/server/src/jev/pools.ts) ↑ Back to categories -### Developer tools (27) - -- **[Fast Jev Compaction](https://github.com/tamaratran/fast-jev-compaction)** · 5.7K stars — Compacts Claude Code tool history while keeping retained text verbatim. [Source](https://github.com/tamaratran/fast-jev-compaction/blob/e3f262a7f4d42bd8dd32ced30d26176f7cb545b0/src/client.ts) -- **[TypeSafe Skills](https://github.com/typesafe-ai/skills)** · 1.4K stars — Official agent skills for building against TypeSafe’s System One / JEV API. [Source](https://github.com/typesafe-ai/skills/blob/65a39f393687675ce170e6094757de20370365b9/skills/typesafe-ai/SKILL.md) -- **[Celesto](https://github.com/CelestoAI/celesto)** · 946 stars — A Celesto PR-review example prepares sandbox checks and compares a general model with Jev on candidate findings. [Source](https://github.com/CelestoAI/celesto/blob/fff7bb567752baee4ce195fcb78b5ee5e4da889f/examples/pr-review-jev/models.py#L96) -- **[AI CLI](https://github.com/vercel-labs/ai-cli)** · 808 stars — A terminal generator CLI that ships with an agent skill for creating content from the command line. [Source](https://github.com/vercel-labs/ai-cli/blob/6a0ed5d04ea60ee536029d469499b82898d1b214/skills/ai-cli/SKILL.md) -- **[Awesome JEV (yibie)](https://github.com/yibie/awesome-jev)** · 805 stars — A large community directory of public JEV projects, integrations, and discussions. [Source](https://github.com/yibie/awesome-jev/blob/a42aea88b30aeb62b3f165395f15336853e01863/README.md) -- **[Awesome JEV by TypeSafe](https://github.com/Anil-matcha/awesome-jev-by-typesafe)** · 742 stars — An evidence-backed playbook of JEV use cases, patterns, prompts, and starter code. [Source](https://github.com/Anil-matcha/awesome-jev-by-typesafe/blob/0f4a1eadcdd70f4fc1cf8eadcf72794dfe416095/docs/jev-use-case-playbook.md) -- **[Awesome JEV Tools](https://github.com/v-modal/awesome-jev-tools)** · 599 stars — A curated directory focused on tools built for JEV and TypeSafe System One. [Source](https://github.com/v-modal/awesome-jev-tools/blob/f117e0c368d6e293bf5fdf99244a1173a6dc2ae0/README.md) -- **[Foreman](https://github.com/thruwire/foreman)** · 446 stars — An independent supervisor loop that reads worker diffs, logs and tests, asks Jev Nouls about stuck / off-track / verify, then applies a Python policy. [Source](https://github.com/thruwire/foreman/blob/209182dac7a3467033fd093ab4ca47d21279984a/src/foreman/foreman/jev.py) -- **[Jev Review](https://github.com/devagrawal09/jev-review)** · 438 stars — Reviews a Git diff or a codebase in stages and displays review leads in a local dashboard. [Source](https://github.com/devagrawal09/jev-review/blob/31f89602797fb7bea007f8a480bf368bf564954e/src/review/judgments.ts#L38) -- **[Awesome TypeSafe](https://github.com/AbdelStark/awesome-typesafe)** · 414 stars — A curated list of official and community resources for TypeSafe, System One, and JEV. [Source](https://github.com/AbdelStark/awesome-typesafe/blob/d44dc0a1e26d41bc7f543d39b4b62ae5cb9f13c8/README.md) -- **[Awesome JEV (cobanov)](https://github.com/cobanov/awesome-jev)** · 292 stars — A source-backed list of projects built with JEV / TypeSafe System One. [Source](https://github.com/cobanov/awesome-jev/blob/2c8c34a7a89499a0cec3ca7de3a23fec3ea9dc97/README.md) -- **[Orchestkit](https://github.com/yonatangross/orchestkit)** · 280 stars — OrchestKit can optionally use Jev to classify coding sessions and set their colors when confidence meets a threshold. [Source](https://github.com/yonatangross/orchestkit/blob/569095f35ce61a4881197dfb8117f4c3312e2bee/src/hooks/src/lib/session-category-provider.ts) -- **[Awesome JEV Projects](https://github.com/logicrw/awesome-jev-projects)** · 264 stars — A source-backed JEV ecosystem radar with plain-language discovery and GitHub sync. [Source](https://github.com/logicrw/awesome-jev-projects/blob/d1b1b8d6c68c1754425778606d20d2cb14b09895/SKILL.md) -- **[JEV MCP](https://github.com/jkudish/jev-mcp)** · 196 stars — Eight MCP tools for evidence checks, content screening, search, reranking, classification, comparison and extraction. [Source](https://github.com/jkudish/jev-mcp/blob/89f88b90c3180184d56961160e7178e64c98e468/src/provider.ts#L127) -- **[JEV Review](https://github.com/NiazMorshed2007/jev-review)** · 191 stars — A local MCP code-quality reviewer returning structured scores to coding Agents. [Source](https://github.com/NiazMorshed2007/jev-review/blob/57690af54ef7d862c2483342c1e61c14dffcf727/README.md) -- **[Awesome JEV (fatwang2)](https://github.com/fatwang2/awesome-jev)** · 185 stars — A source-backed JEV directory plus a reusable JEV-only GitHub review workflow. [Source](https://github.com/fatwang2/awesome-jev/blob/f036095ba8203001d40be955f3486cd3e0d0a81b/.github/workflows/jev-review.yml) -- **[Awesome JEV (AnotiaWang)](https://github.com/AnotiaWang/awesome-jev)** · 181 stars — A curated list of JEV applications, libraries, and System One resources. [Source](https://github.com/AnotiaWang/awesome-jev/blob/04e65b59a936b2fed0d40eaec71a0a11e33bb422/README.md) -- **[TypeSafe MCP](https://github.com/itsmostafa/typesafe-mcp)** · 173 stars — An MCP server that lets Claude Code, Claude Desktop, Codex and Pi ask Jev typed questions. [Source](https://github.com/itsmostafa/typesafe-mcp/blob/0c9f35d9b1859189fc7e7d01947061f311ca6dde/README.md) +### Developer tools (29) + +- **[Fast Jev Compaction](https://github.com/tamaratran/fast-jev-compaction)** · 6.0K stars — Compacts Claude Code tool history while keeping retained text verbatim. [Source](https://github.com/tamaratran/fast-jev-compaction/blob/e3f262a7f4d42bd8dd32ced30d26176f7cb545b0/src/client.ts) +- **[TypeSafe Skills](https://github.com/typesafe-ai/skills)** · 1.6K stars — Official agent skills for building against TypeSafe’s System One / JEV API. [Source](https://github.com/typesafe-ai/skills/blob/65a39f393687675ce170e6094757de20370365b9/skills/typesafe-ai/SKILL.md) +- **[Awesome JEV (yibie)](https://github.com/yibie/awesome-jev)** · 1.0K stars — A large community directory of public JEV projects, integrations, and discussions. [Source](https://github.com/yibie/awesome-jev/blob/a42aea88b30aeb62b3f165395f15336853e01863/README.md) +- **[Celesto](https://github.com/CelestoAI/celesto)** · 958 stars — A Celesto PR-review example prepares sandbox checks and compares a general model with Jev on candidate findings. [Source](https://github.com/CelestoAI/celesto/blob/fff7bb567752baee4ce195fcb78b5ee5e4da889f/examples/pr-review-jev/models.py#L96) +- **[AI CLI](https://github.com/vercel-labs/ai-cli)** · 810 stars — A terminal generator CLI that ships with an agent skill for creating content from the command line. [Source](https://github.com/vercel-labs/ai-cli/blob/6a0ed5d04ea60ee536029d469499b82898d1b214/skills/ai-cli/SKILL.md) +- **[Awesome JEV by TypeSafe](https://github.com/Anil-matcha/awesome-jev-by-typesafe)** · 772 stars — An evidence-backed playbook of JEV use cases, patterns, prompts, and starter code. [Source](https://github.com/Anil-matcha/awesome-jev-by-typesafe/blob/0f4a1eadcdd70f4fc1cf8eadcf72794dfe416095/docs/jev-use-case-playbook.md) +- **[Awesome JEV Tools](https://github.com/v-modal/awesome-jev-tools)** · 628 stars — A curated directory focused on tools built for JEV and TypeSafe System One. [Source](https://github.com/v-modal/awesome-jev-tools/blob/f117e0c368d6e293bf5fdf99244a1173a6dc2ae0/README.md) +- **[Jev Review](https://github.com/devagrawal09/jev-review)** · 502 stars — Reviews a Git diff or a codebase in stages and displays review leads in a local dashboard. [Source](https://github.com/devagrawal09/jev-review/blob/31f89602797fb7bea007f8a480bf368bf564954e/src/review/judgments.ts#L38) +- **[Foreman](https://github.com/thruwire/foreman)** · 472 stars — An independent supervisor loop that reads worker diffs, logs and tests, asks Jev Nouls about stuck / off-track / verify, then applies a Python policy. [Source](https://github.com/thruwire/foreman/blob/209182dac7a3467033fd093ab4ca47d21279984a/src/foreman/foreman/jev.py) +- **[Awesome TypeSafe](https://github.com/AbdelStark/awesome-typesafe)** · 431 stars — A curated list of official and community resources for TypeSafe, System One, and JEV. [Source](https://github.com/AbdelStark/awesome-typesafe/blob/d44dc0a1e26d41bc7f543d39b4b62ae5cb9f13c8/README.md) +- **[Awesome TypeSafe JEV](https://github.com/AbdelStark/awesome-typesafe-jev)** · 431 stars — A source-backed field guide to TypeSafe JEV projects, SDKs, demos, and evaluations. [Source](https://github.com/AbdelStark/awesome-typesafe-jev/blob/9384099af36cd439b7f0bd4311560ac02eeabe7c/README.md) +- **[Awesome JEV Projects](https://github.com/logicrw/awesome-jev-projects)** · 334 stars — A source-backed JEV ecosystem radar with plain-language discovery and GitHub sync. [Source](https://github.com/logicrw/awesome-jev-projects/blob/d1b1b8d6c68c1754425778606d20d2cb14b09895/SKILL.md) +- **[Awesome JEV (cobanov)](https://github.com/cobanov/awesome-jev)** · 316 stars — A source-backed list of projects built with JEV / TypeSafe System One. [Source](https://github.com/cobanov/awesome-jev/blob/2c8c34a7a89499a0cec3ca7de3a23fec3ea9dc97/README.md) +- **[Orchestkit](https://github.com/yonatangross/orchestkit)** · 281 stars — OrchestKit can optionally use Jev to classify coding sessions and set their colors when confidence meets a threshold. [Source](https://github.com/yonatangross/orchestkit/blob/569095f35ce61a4881197dfb8117f4c3312e2bee/src/hooks/src/lib/session-category-provider.ts) +- **[Awesome JEV (AnotiaWang)](https://github.com/AnotiaWang/awesome-jev)** · 257 stars — A curated list of JEV applications, libraries, and System One resources. [Source](https://github.com/AnotiaWang/awesome-jev/blob/04e65b59a936b2fed0d40eaec71a0a11e33bb422/README.md) +- **[JEV MCP](https://github.com/jkudish/jev-mcp)** · 245 stars — Eight MCP tools for evidence checks, content screening, search, reranking, classification, comparison and extraction. [Source](https://github.com/jkudish/jev-mcp/blob/89f88b90c3180184d56961160e7178e64c98e468/src/provider.ts#L127) +- **[TypeSafe MCP](https://github.com/itsmostafa/typesafe-mcp)** · 227 stars — An MCP server that lets Claude Code, Claude Desktop, Codex and Pi ask Jev typed questions. [Source](https://github.com/itsmostafa/typesafe-mcp/blob/0c9f35d9b1859189fc7e7d01947061f311ca6dde/README.md) +- **[JEV Review](https://github.com/NiazMorshed2007/jev-review)** · 196 stars — A local MCP code-quality reviewer returning structured scores to coding Agents. [Source](https://github.com/NiazMorshed2007/jev-review/blob/57690af54ef7d862c2483342c1e61c14dffcf727/README.md) +- **[Awesome JEV (fatwang2)](https://github.com/fatwang2/awesome-jev)** · 187 stars — A source-backed JEV directory plus a reusable JEV-only GitHub review workflow. [Source](https://github.com/fatwang2/awesome-jev/blob/f036095ba8203001d40be955f3486cd3e0d0a81b/.github/workflows/jev-review.yml) - **[Perch](https://github.com/lakeday-org/perch)** · 167 stars — Semantic code linting that asks JEV / System One whether findings should fire. [Source](https://github.com/lakeday-org/perch/blob/54a38d6034264dc507e97294b82316c347fe5a5e/src/systemone.js) -- **[Awesome JEV Gallery](https://github.com/OmniJev/awesome-jev-gallery)** · 131 stars — A gallery of System One papers, open reproductions, and independent evaluations. [Source](https://github.com/OmniJev/awesome-jev-gallery/blob/2b84d22ab0fb9e54098788955187feb023c40ab3/README.md) +- **[Awesome JEV Gallery](https://github.com/OmniJev/awesome-jev-gallery)** · 159 stars — A gallery of System One papers, open reproductions, and independent evaluations. [Source](https://github.com/OmniJev/awesome-jev-gallery/blob/2b84d22ab0fb9e54098788955187feb023c40ab3/README.md) +- **[Awesome JEV (HeyJunPenn)](https://github.com/heyjunpenn/awesome-jev)** · 148 stars — A multilingual, community-maintained catalogue of open-source JEV projects. [Source](https://github.com/heyjunpenn/awesome-jev/blob/eabb8446bdadd6744adce2e30871ef0691cf34e5/README.md) - **[Building with JEV Skill](https://github.com/dbreunig/building-with-jev-skill)** · 128 stars — An agent skill for writing and improving programs that call JEV / System One. [Source](https://github.com/dbreunig/building-with-jev-skill/blob/04fe3666c6b8b8abfec1271c0e581c823a181f6d/skills/jev/SKILL.md) +- **[Awesome Jev](https://github.com/hellogumbo/awesome-jev)** · 127 stars — The source catalogue behind awesomejev.com, covering repos, integrations, demos, and research. [Source](https://github.com/hellogumbo/awesome-jev/blob/e18fa74fa53e27395a074cf94c7a127e912fb090/data/projects.json) +- **[Awesome JEV TypeSafe](https://github.com/valentynkit/awesome-jev-typesafe)** · 125 stars — A TypeSafe JEV resource list centered on typed, confidence-aware decisions. [Source](https://github.com/valentynkit/awesome-jev-typesafe/blob/7eec7360d502826b51d1c8862c9fd2d76eecf6e4/readme.md) - **[Taskuary](https://github.com/ldbumble/taskuary)** · 116 stars — An optional Jev judgment module in Taskuary for checking user-defined conditions on task state. [Source](https://github.com/ldbumble/taskuary/blob/4ad29d7b292a7899767338cfcc83b2dde8f43330/README.md) -- **[Awesome JEV TypeSafe](https://github.com/valentynkit/awesome-jev-typesafe)** · 115 stars — A TypeSafe JEV resource list centered on typed, confidence-aware decisions. [Source](https://github.com/valentynkit/awesome-jev-typesafe/blob/7eec7360d502826b51d1c8862c9fd2d76eecf6e4/readme.md) -- **[Awesome Jev](https://github.com/hellogumbo/awesome-jev)** · 109 stars — The source catalogue behind awesomejev.com, covering repos, integrations, demos, and research. [Source](https://github.com/hellogumbo/awesome-jev/blob/e18fa74fa53e27395a074cf94c7a127e912fb090/data/projects.json) -- **[Stanley Code](https://github.com/devagrawal09/stanley-code)** · 106 stars — Bounded JEV workflows for coding agents with a dedicated adapter. [Source](https://github.com/devagrawal09/stanley-code/blob/fd092558ebea389c81d44f9b10e826d9a72afaa3/src/adapters/jev.ts) -- **[JEV Shell History](https://github.com/mrnugget/jev-shell-history)** · 80 stars — Fish-style Zsh history suggestion tool ranked by Jev, ordering candidate commands from local history based on context. [Source](https://github.com/mrnugget/jev-shell-history/blob/4b2b75d26c0ccf5726263904514a22a8e11659ea/src/suggest.ts#L1-L196) -- **[Awesome JEV (AppitStudio)](https://github.com/AppitStudio/awesome-jev)** · 66 stars — A curated JEV resource list with runnable typed-decision examples. [Source](https://github.com/AppitStudio/awesome-jev/blob/5d654f24aecf992617bbc45e76f32a36eba62f65/README.md) +- **[Stanley Code](https://github.com/devagrawal09/stanley-code)** · 111 stars — Bounded JEV workflows for coding agents with a dedicated adapter. [Source](https://github.com/devagrawal09/stanley-code/blob/fd092558ebea389c81d44f9b10e826d9a72afaa3/src/adapters/jev.ts) +- **[JEV Shell History](https://github.com/mrnugget/jev-shell-history)** · 96 stars — Fish-style Zsh history suggestion tool ranked by Jev, ordering candidate commands from local history based on context. [Source](https://github.com/mrnugget/jev-shell-history/blob/4b2b75d26c0ccf5726263904514a22a8e11659ea/src/suggest.ts#L1-L196) +- **[Awesome JEV (AppitStudio)](https://github.com/AppitStudio/awesome-jev)** · 73 stars — A curated JEV resource list with runnable typed-decision examples. [Source](https://github.com/AppitStudio/awesome-jev/blob/5d654f24aecf992617bbc45e76f32a36eba62f65/README.md) ↑ Back to categories ### Domain tools (13) -- **[AI Hedge Fund · JEV Adapter](https://github.com/virattt/ai-hedge-fund)** · 63.6K stars — An educational hedge-fund prototype with an optional JEV adapter for structured strategy judgments. [Source](https://github.com/virattt/ai-hedge-fund/blob/154a8b2f46dca0f40764d814e4e747b0ad71f4c4/hedge_fund/llm/client.py) -- **[QuantDinger · JEV Gate](https://github.com/OpenByteInc/QuantDinger)** · 11.9K stars — An open-source trading OS with a JEV decision gate before selected live entries. [Source](https://github.com/OpenByteInc/QuantDinger/blob/12c04eb2cdb8a9d08dc84502f5261ec3f1c56bf7/backend_api_python/app/services/ai_decision_filter.py) -- **[JEV Trader](https://github.com/jarrodwatts/jev-trader)** · 1.7K stars — A market-making experiment that can request one JEV trade decision per Monad block. [Source](https://github.com/jarrodwatts/jev-trader/blob/b587759e459ea049590102e54a0b07800864cdc3/src/model.ts) -- **[Astra + JEV Minecraft Agent](https://github.com/rmalde/minecraft-agent)** · 395 stars — A Minecraft agent where a planner sets objectives and JEV selects legal game actions. [Source](https://github.com/rmalde/minecraft-agent/blob/78b40ed59514e5e2abde33a05ce398ecb2c39e05/models.mjs) -- **[TypeSafe Mario](https://github.com/fhshaik/typesafe-mario)** · 314 stars — An experimental NES Mario controller that gives Jev structured emulator RAM and telemetry instead of screenshots. [Source](https://github.com/fhshaik/typesafe-mario/blob/ca22449ed187118d19326d1f54b01b6636578aa4/README.md) -- **[Jevpilot](https://github.com/standardagents/jevpilot)** · 143 stars — A browser driving simulator where Jev chooses among locally generated paths and speeds. [Source](https://github.com/standardagents/jevpilot/blob/e1beeb13b9a928fb76f167f86af584f4ce9cf180/README.md) -- **[JEV Eval Agent](https://github.com/vinilana/jev-eval-agent)** · 99 stars — Agent tool evaluation harness comparing standard LLM tool selection against Jev routing across 100 mocked tools. [Source](https://github.com/vinilana/jev-eval-agent/blob/037de1120c84b4b63cdf748e2acf258ff66d7731/agent/lib/jev-router.ts#L1-L154) -- **[Formanator](https://github.com/timrogers/formanator)** · 98 stars — A CLI and MCP client for benefit claims with optional JEV receipt classification. [Source](https://github.com/timrogers/formanator/blob/548740edef37a4169eef163e4988e64f43a560ec/src/typesafe.rs) -- **[JEV Drone](https://github.com/RomanSlack/jev-drone)** · 96 stars — A MuJoCo drone experiment deriving scene features from camera buffers for Jev tactical advice. [Source](https://github.com/RomanSlack/jev-drone/blob/cbeb53ce4f17a06ea490ae43effcdad231143610/tactics.py#L184) -- **[Dasheng](https://github.com/wquguru/dasheng)** · 90 stars — A reading-practice app that combines streaming ASR with per-word JEV judgments. [Source](https://github.com/wquguru/dasheng/blob/1bacff4a075527e6c02da242a72d117e7cb3286b/lib/jev.js) -- **[JEV Trade](https://github.com/aowang-ai/jev-trade)** · 68 stars — A live Hyperliquid trading agent with JEV as a bounded decision layer. [Source](https://github.com/aowang-ai/jev-trade/blob/df2c9656324a8a75996eb0612de7adcfe3ce6f89/src/model.ts) -- **[Prism Liquidity Agent](https://github.com/irfndi/prism-liquidity-agent)** · 54 stars — An autonomous liquidity agent that uses JEV inside its rebalancing decision service. [Source](https://github.com/irfndi/prism-liquidity-agent/blob/22c67bdbe30bab608226832256a5013ad826b707/engine/jev-service.ts) -- **[Jev Reviewer](https://github.com/choxos/jev-reviewer)** · 30 stars — A browser app that pulls verbatim quotes from trial reports to fill systematic-review extraction forms. [Source](https://github.com/choxos/jev-reviewer/blob/da15868cdca5e64555e6643243a52ea71f60cf3b/docs/jev.js#L51) +- **[AI Hedge Fund · JEV Adapter](https://github.com/virattt/ai-hedge-fund)** · 63.7K stars — An educational hedge-fund prototype with an optional JEV adapter for structured strategy judgments. [Source](https://github.com/virattt/ai-hedge-fund/blob/154a8b2f46dca0f40764d814e4e747b0ad71f4c4/hedge_fund/llm/client.py) +- **[QuantDinger · JEV Gate](https://github.com/OpenByteInc/QuantDinger)** · 12.0K stars — An open-source trading OS with a JEV decision gate before selected live entries. [Source](https://github.com/OpenByteInc/QuantDinger/blob/12c04eb2cdb8a9d08dc84502f5261ec3f1c56bf7/backend_api_python/app/services/ai_decision_filter.py) +- **[JEV Trader](https://github.com/jarrodwatts/jev-trader)** · 1.9K stars — A market-making experiment that can request one JEV trade decision per Monad block. [Source](https://github.com/jarrodwatts/jev-trader/blob/b587759e459ea049590102e54a0b07800864cdc3/src/model.ts) +- **[Astra + JEV Minecraft Agent](https://github.com/rmalde/minecraft-agent)** · 485 stars — A Minecraft agent where a planner sets objectives and JEV selects legal game actions. [Source](https://github.com/rmalde/minecraft-agent/blob/78b40ed59514e5e2abde33a05ce398ecb2c39e05/models.mjs) +- **[TypeSafe Mario](https://github.com/fhshaik/typesafe-mario)** · 338 stars — An experimental NES Mario controller that gives Jev structured emulator RAM and telemetry instead of screenshots. [Source](https://github.com/fhshaik/typesafe-mario/blob/ca22449ed187118d19326d1f54b01b6636578aa4/README.md) +- **[Jevpilot](https://github.com/standardagents/jevpilot)** · 155 stars — A browser driving simulator where Jev chooses among locally generated paths and speeds. [Source](https://github.com/standardagents/jevpilot/blob/e1beeb13b9a928fb76f167f86af584f4ce9cf180/README.md) +- **[Dasheng](https://github.com/wquguru/dasheng)** · 119 stars — A reading-practice app that combines streaming ASR with per-word JEV judgments. [Source](https://github.com/wquguru/dasheng/blob/1bacff4a075527e6c02da242a72d117e7cb3286b/lib/jev.js) +- **[JEV Drone](https://github.com/RomanSlack/jev-drone)** · 119 stars — A MuJoCo drone experiment deriving scene features from camera buffers for Jev tactical advice. [Source](https://github.com/RomanSlack/jev-drone/blob/cbeb53ce4f17a06ea490ae43effcdad231143610/tactics.py#L184) +- **[JEV Eval Agent](https://github.com/vinilana/jev-eval-agent)** · 103 stars — Agent tool evaluation harness comparing standard LLM tool selection against Jev routing across 100 mocked tools. [Source](https://github.com/vinilana/jev-eval-agent/blob/037de1120c84b4b63cdf748e2acf258ff66d7731/agent/lib/jev-router.ts#L1-L154) +- **[Formanator](https://github.com/timrogers/formanator)** · 99 stars — A CLI and MCP client for benefit claims with optional JEV receipt classification. [Source](https://github.com/timrogers/formanator/blob/548740edef37a4169eef163e4988e64f43a560ec/src/typesafe.rs) +- **[JEV Trade](https://github.com/aowang-ai/jev-trade)** · 95 stars — A live Hyperliquid trading agent with JEV as a bounded decision layer. [Source](https://github.com/aowang-ai/jev-trade/blob/df2c9656324a8a75996eb0612de7adcfe3ce6f89/src/model.ts) +- **[Prism Liquidity Agent](https://github.com/irfndi/prism-liquidity-agent)** · 69 stars — An autonomous liquidity agent that uses JEV inside its rebalancing decision service. [Source](https://github.com/irfndi/prism-liquidity-agent/blob/22c67bdbe30bab608226832256a5013ad826b707/engine/jev-service.ts) +- **[Jev Reviewer](https://github.com/choxos/jev-reviewer)** · 32 stars — A browser app that pulls verbatim quotes from trial reports to fill systematic-review extraction forms. [Source](https://github.com/choxos/jev-reviewer/blob/da15868cdca5e64555e6643243a52ea71f60cf3b/docs/jev.js#L51) ↑ Back to categories diff --git a/README.zh-CN.md b/README.zh-CN.md index c01bc01..de008ac 100644 --- a/README.zh-CN.md +++ b/README.zh-CN.md @@ -5,7 +5,7 @@

浏览 Awesome JEV 主站 Gallery · 精选项目 · - 全部 148 个项目 · + 全部 171 个项目 · JSON 目录 · English · 日本語 @@ -31,10 +31,10 @@ - 148 - 34 + 171 + 48 10 - 2026-09-21 + 2026-09-22 @@ -44,15 +44,15 @@

按分类浏览

- 浏览器与电脑操作 · 14 · - SDK 与框架集成 · 23 · - 路由与优化 · 14 · - 开放模型 · 17 · - 搜索与数据 · 9
- 安全与审查 · 12 · - Agent 工作流 · 11 · - 界面与自动化 · 8 · - 开发者工具 · 27 · + 浏览器与电脑操作 · 15 · + SDK 与框架集成 · 28 · + 路由与优化 · 16 · + 开放模型 · 20 · + 搜索与数据 · 14
+ 安全与审查 · 13 · + Agent 工作流 · 14 · + 界面与自动化 · 9 · + 开发者工具 · 29 · 垂直工具 · 13

@@ -61,43 +61,44 @@ | | | | --- | --- | | [![Jev Ultrafast 仓库预览](https://opengraph.githubassets.com/awesome-jev-20260920/browser-use/jev-ultrafast)](https://github.com/browser-use/jev-ultrafast) | [![LiteLLM 仓库预览](https://opengraph.githubassets.com/awesome-jev-20260920/BerriAI/litellm)](https://github.com/BerriAI/litellm) | -| **[Jev Ultrafast](https://github.com/browser-use/jev-ultrafast)** · 浏览器与电脑操作 · 13.8K Star
一次 JEV 请求选择浏览器动作和对应 DOM 目标。
[原始案例 · 294 万浏览](https://x.com/gregpr07/status/2100411066966749359) · [固定版本源码](https://github.com/browser-use/jev-ultrafast/blob/1231850a0bf1a0c0341fe408ef1668dbbfdfac46/jev_ultrafast/model.py) | **[LiteLLM · JEV Router](https://github.com/BerriAI/litellm)** · 路由与优化 · 59.3K Star
在路由后端模型前判断请求复杂度。
[固定版本源码](https://github.com/BerriAI/litellm/blob/56116079c8022da0e8f7ff9ccb017ad5aca5aed2/litellm/router_strategy/complexity_router/jev_classifier.py#L70) | +| **[Jev Ultrafast](https://github.com/browser-use/jev-ultrafast)** · 浏览器与电脑操作 · 16.3K Star
一次 JEV 请求选择浏览器动作和对应 DOM 目标。
[原始案例 · 294 万浏览](https://x.com/gregpr07/status/2100411066966749359) · [固定版本源码](https://github.com/browser-use/jev-ultrafast/blob/1231850a0bf1a0c0341fe408ef1668dbbfdfac46/jev_ultrafast/model.py) | **[LiteLLM · JEV Router](https://github.com/BerriAI/litellm)** · 路由与优化 · 59.4K Star
在路由后端模型前判断请求复杂度。
[固定版本源码](https://github.com/BerriAI/litellm/blob/56116079c8022da0e8f7ff9ccb017ad5aca5aed2/litellm/router_strategy/complexity_router/jev_classifier.py#L70) | | [![LangChain 仓库预览](https://opengraph.githubassets.com/awesome-jev-20260920/langchain-ai/langchain)](https://github.com/langchain-ai/langchain) | [![Vercel AI SDK 仓库预览](https://opengraph.githubassets.com/awesome-jev-20260920/vercel/ai)](https://github.com/vercel/ai) | | **[LangChain · TypeSafe](https://github.com/langchain-ai/langchain)** · SDK 集成 · 146.8K Star
在 Python 工作流中提供二元、分类和有序评分判断。
[固定版本源码](https://github.com/langchain-ai/langchain/blob/eba445b7563d1709427bd8072892975a6ea59fdc/libs/partners/typesafe/langchain_typesafe/classifier.py) | **[Vercel AI SDK · TypeSafe](https://github.com/vercel/ai)** · SDK 集成 · 26.9K Star
把 choice、score 和 yes/no 问题映射到统一 evaluate 接口。
[固定版本源码](https://github.com/vercel/ai/blob/73ec7015edd4f04ca9144ce93a8a037a731e5db8/packages/typesafe-ai/src/typesafe-ai-evaluation-model.ts) | | [![Laya 仓库预览](https://opengraph.githubassets.com/awesome-jev-20260920/NandhaKishorM/laya)](https://github.com/NandhaKishorM/laya) | [![jegrep 仓库预览](https://opengraph.githubassets.com/awesome-jev-20260920/can1357/jegrep)](https://github.com/can1357/jegrep) | -| **[Laya](https://github.com/NandhaKishorM/laya)** · 开放模型 · 6.7K Star
多语言 System 1 类型化判断，单次前向完成，并带检查点路由。
[Hugging Face 模型](https://huggingface.co/convaiinnovations/laya) · [固定版本源码](https://github.com/NandhaKishorM/laya/blob/d113dca2512fb3eaca313534bc54c7162d87c1d4/README.md)| **[jegrep](https://github.com/can1357/jegrep)** · 搜索与数据
无需建立索引，直接对实时代码树做语义检索。
[固定版本源码](https://github.com/can1357/jegrep/blob/a280f14f6da8163bde67e0c49f58b23517a02882/src/jev.rs) | +| **[Laya](https://github.com/NandhaKishorM/laya)** · 开放模型 · 11.5K Star
多语言 System 1 类型化判断，单次前向完成，并带检查点路由。
[Hugging Face 模型](https://huggingface.co/convaiinnovations/laya) · [固定版本源码](https://github.com/NandhaKishorM/laya/blob/d113dca2512fb3eaca313534bc54c7162d87c1d4/README.md)| **[jegrep](https://github.com/can1357/jegrep)** · 搜索与数据
无需建立索引，直接对实时代码树做语义检索。
[固定版本源码](https://github.com/can1357/jegrep/blob/a280f14f6da8163bde67e0c49f58b23517a02882/src/jev.rs) | | [![Cua 仓库预览](https://opengraph.githubassets.com/awesome-jev-20260920/trycua/cua)](https://github.com/trycua/cua) | [![Agentgateway 仓库预览](https://opengraph.githubassets.com/awesome-jev-20260920/agentgateway/agentgateway)](https://github.com/agentgateway/agentgateway) | -| **[Cua · JEV Use](https://github.com/trycua/cua)** · 浏览器与电脑操作 · 25.4K Star
根据 DOM 或视觉区域描述选择下一步动作 ID。
[固定版本源码](https://github.com/trycua/cua/blob/83f142c4290a0f7d9ed545ae8532858c6e4f8145/libs/cua-driver/examples/jev-use/python/jev_adapter.py#L11) | **[Agentgateway · JEV Guardrail](https://github.com/agentgateway/agentgateway)** · 安全与审查 · 5.0K Star
在网关层判断越狱、有害内容与密钥泄露风险。
[固定版本源码](https://github.com/agentgateway/agentgateway/blob/6b0270efd25b5255932943e48b5ca47583d3ad28/examples/llm-guardrail-jev/guardrail.ts) | +| **[Cua · JEV Use](https://github.com/trycua/cua)** · 浏览器与电脑操作 · 25.8K Star
根据 DOM 或视觉区域描述选择下一步动作 ID。
[固定版本源码](https://github.com/trycua/cua/blob/83f142c4290a0f7d9ed545ae8532858c6e4f8145/libs/cua-driver/examples/jev-use/python/jev_adapter.py#L11) | **[Agentgateway · JEV Guardrail](https://github.com/agentgateway/agentgateway)** · 安全与审查 · 5.0K Star
在网关层判断越狱、有害内容与密钥泄露风险。
[固定版本源码](https://github.com/agentgateway/agentgateway/blob/6b0270efd25b5255932943e48b5ca47583d3ad28/examples/llm-guardrail-jev/guardrail.ts) | | [![NewsJack 仓库预览](https://opengraph.githubassets.com/awesome-jev-20260920/elvisun/newsjack)](https://github.com/elvisun/newsjack) | [![QuantDinger 仓库预览](https://opengraph.githubassets.com/awesome-jev-20260920/OpenByteInc/QuantDinger)](https://github.com/OpenByteInc/QuantDinger) | -| **[NewsJack](https://github.com/elvisun/newsjack)** · Agent 工作流 · 1.3K Star
先筛选数百条实时新闻，再让 Agent 继续处理少量入选机会。
[原始案例 · 58.3 万浏览](https://x.com/elvissun/status/2100951347080421409) · [固定版本源码](https://github.com/elvisun/newsjack/tree/092d882fc69912622f620c50eb493afe625f99dc/demos/news-desk-dealer) | **[QuantDinger · JEV Gate](https://github.com/OpenByteInc/QuantDinger)** · 垂直工具 · 11.9K Star
在部分真实交易入场前增加证据质量与风险判断闸门。
[固定版本源码](https://github.com/OpenByteInc/QuantDinger/blob/12c04eb2cdb8a9d08dc84502f5261ec3f1c56bf7/backend_api_python/app/services/ai_decision_filter.py) | +| **[NewsJack](https://github.com/elvisun/newsjack)** · Agent 工作流 · 1.3K Star
先筛选数百条实时新闻，再让 Agent 继续处理少量入选机会。
[原始案例 · 58.3 万浏览](https://x.com/elvissun/status/2100951347080421409) · [固定版本源码](https://github.com/elvisun/newsjack/tree/092d882fc69912622f620c50eb493afe625f99dc/demos/news-desk-dealer) | **[QuantDinger · JEV Gate](https://github.com/OpenByteInc/QuantDinger)** · 垂直工具 · 12.0K Star
在部分真实交易入场前增加证据质量与风险判断闸门。
[固定版本源码](https://github.com/OpenByteInc/QuantDinger/blob/12c04eb2cdb8a9d08dc84502f5261ec3f1c56bf7/backend_api_python/app/services/ai_decision_filter.py) |

在主站筛选并查看完整项目说明 →

-## 全部 148 个项目 +## 全部 171 个项目 -### 浏览器与电脑操作 (14) +### 浏览器与电脑操作 (15) -- **[Cua · JEV Use](https://github.com/trycua/cua)** · 25.4K Star — 把 Cua Driver 的观察与执行能力和 JEV 的有限动作选择结合起来。 [源码证据](https://github.com/trycua/cua/blob/83f142c4290a0f7d9ed545ae8532858c6e4f8145/libs/cua-driver/examples/jev-use/python/jev_adapter.py#L11) -- **[Jev Ultrafast](https://github.com/browser-use/jev-ultrafast)** · 13.8K Star — 用 JEV 一次选出浏览器动作与对应 DOM 元素，只在需要输入文本时再调用文本模型。 [源码证据](https://github.com/browser-use/jev-ultrafast/blob/1231850a0bf1a0c0341fe408ef1668dbbfdfac46/jev_ultrafast/model.py) +- **[Cua · JEV Use](https://github.com/trycua/cua)** · 25.8K Star — 把 Cua Driver 的观察与执行能力和 JEV 的有限动作选择结合起来。 [源码证据](https://github.com/trycua/cua/blob/83f142c4290a0f7d9ed545ae8532858c6e4f8145/libs/cua-driver/examples/jev-use/python/jev_adapter.py#L11) +- **[Jev Ultrafast](https://github.com/browser-use/jev-ultrafast)** · 16.3K Star — 用 JEV 一次选出浏览器动作与对应 DOM 元素，只在需要输入文本时再调用文本模型。 [源码证据](https://github.com/browser-use/jev-ultrafast/blob/1231850a0bf1a0c0341fe408ef1668dbbfdfac46/jev_ultrafast/model.py) - **[Agent Desktop · JEV Skill](https://github.com/lahfir/agent-desktop)** · 1.4K Star — 根据系统无障碍数据选择原生桌面控件与动作的可选 JEV Skill。 [源码证据](https://github.com/lahfir/agent-desktop/blob/7a8e4a10281c7319733aa200fd79501f34529716/scripts/jev/act.mjs) -- **[TypeSafe Computer Use](https://github.com/awlevin/typesafe-computer-use)** · 693 Star — 用 OCR 和界面状态构造候选动作，让 Jev 决定如何操作 macOS，需要写文字时再调用文本模型。 [源码证据](https://github.com/awlevin/typesafe-computer-use/blob/cc7b5066ae1a07b5e3182e8f87a9b5b6dfdcffc1/typesafe_computer_use/decide.py) -- **[Omg.dev](https://github.com/BennyKok/omg.dev)** · 533 Star — omg.dev 的移动端测试脚本可让 Jev 读取可访问性树并选择下一步交互。 [源码证据](https://github.com/BennyKok/omg.dev/blob/a00f56684a569ee417be787c148eaa9874946f2b/mobile/scripts/jev.ts) -- **[Jev CU](https://github.com/Sac-Y/Jev-cu)** · 519 Star — 用 JEV 决定下一步界面动作的 Computer Use 辅助工具。 [源码证据](https://github.com/Sac-Y/Jev-cu/blob/38fb31de7dfe6209bbe6e04057c00c6e885ba577/scripts/jev-decide.mjs) -- **[Mobile JEV](https://github.com/droidrun/mobile-jev)** · 304 Star — 通过 Mobilerun 控制 Android 手机，网页面板与命令行可查看 Jev 的操作过程。 [源码证据](https://github.com/droidrun/mobile-jev/blob/395fc222beac4f059f9a0beb337d114a2b066e99/scripts/mobile-agent/policy.mjs#L224) -- **[JEV Browser Use](https://github.com/wy-coliney/jev-browser-use)** · 291 Star — 给 Codex 浏览器工作流加一个 Skill：Jev 选导航、点击和滚动，Codex 保留文字输入与最终核验。 [源码证据](https://github.com/wy-coliney/jev-browser-use/blob/f14b60e0ae1ee90cd73eb6650e30a666a84c021a/skills/jev-browser-use/bridge.mjs) -- **[Third Hand](https://github.com/shhivv/third-hand)** · 270 Star — Swift 客户端栈：在驱动本地 computer-use 辅助逻辑时调用 JEV。 [源码证据](https://github.com/shhivv/third-hand/blob/430394b35dbb44ff8b303bf19da29b0828d92bd2/Sources/ThirdHand/JevClient.swift) -- **[JEV Browser](https://github.com/jkudish/jev-browser)** · 209 Star — 给定任务与网址后驱动浏览器，返回最终页面、截图和逐步操作记录。 [源码证据](https://github.com/jkudish/jev-browser/blob/8d90c51bedbe7cd07596bfaa532ded019a31d2a8/src/navigate.ts#L1) -- **[JEV Voice Browser](https://github.com/moritzkremb/jev-voice-browser)** · 187 Star — 用语音控制 Playwright 浏览器，将逐步转写的口令交给 Jev 判断。 [源码证据](https://github.com/moritzkremb/jev-voice-browser/blob/054db0f3dbf537af63a8117632d3f941ccd520e1/src/jev.js#L123) -- **[JEV Use](https://github.com/savka777/jev-use)** · 79 Star — 无需视觉模型、通过无障碍控件操作 macOS 的 Computer Use 工具。 [源码证据](https://github.com/savka777/jev-use/blob/8907f85354addfa3d2b78f6a462087e4c73310b8/README.md) -- **[TypeSafe Adblock](https://github.com/realZachi/typesafe-adblock)** · 64 Star — 一个实验性 Chrome 扩展，让 Jev 判断候选 DOM 元素是否是广告，再高亮或移除。 [源码证据](https://github.com/realZachi/typesafe-adblock/blob/7e067d243d87b7fe4d511653c0ddcd77b9beee18/src/typesafe.js) -- **[JEV Browser](https://github.com/Ying-Kai-Liao/jev-browser)** · 62 Star — 把 LLM 规划与 JEV 动作结合的浏览器自动化库、CLI 与 MCP Server。 [源码证据](https://github.com/Ying-Kai-Liao/jev-browser/blob/578cff6e701a131733d03256078bb559a45ad188/src/jev.mjs) +- **[TypeSafe Computer Use](https://github.com/awlevin/typesafe-computer-use)** · 765 Star — 用 OCR 和界面状态构造候选动作，让 Jev 决定如何操作 macOS，需要写文字时再调用文本模型。 [源码证据](https://github.com/awlevin/typesafe-computer-use/blob/cc7b5066ae1a07b5e3182e8f87a9b5b6dfdcffc1/typesafe_computer_use/decide.py) +- **[Jev CU](https://github.com/Sac-Y/Jev-cu)** · 549 Star — 用 JEV 决定下一步界面动作的 Computer Use 辅助工具。 [源码证据](https://github.com/Sac-Y/Jev-cu/blob/38fb31de7dfe6209bbe6e04057c00c6e885ba577/scripts/jev-decide.mjs) +- **[Omg.dev](https://github.com/BennyKok/omg.dev)** · 535 Star — omg.dev 的移动端测试脚本可让 Jev 读取可访问性树并选择下一步交互。 [源码证据](https://github.com/BennyKok/omg.dev/blob/a00f56684a569ee417be787c148eaa9874946f2b/mobile/scripts/jev.ts) +- **[JEV Browser Use](https://github.com/wy-coliney/jev-browser-use)** · 334 Star — 给 Codex 浏览器工作流加一个 Skill：Jev 选导航、点击和滚动，Codex 保留文字输入与最终核验。 [源码证据](https://github.com/wy-coliney/jev-browser-use/blob/f14b60e0ae1ee90cd73eb6650e30a666a84c021a/skills/jev-browser-use/bridge.mjs) +- **[Mobile JEV](https://github.com/droidrun/mobile-jev)** · 329 Star — 通过 Mobilerun 控制 Android 手机，网页面板与命令行可查看 Jev 的操作过程。 [源码证据](https://github.com/droidrun/mobile-jev/blob/395fc222beac4f059f9a0beb337d114a2b066e99/scripts/mobile-agent/policy.mjs#L224) +- **[Third Hand](https://github.com/shhivv/third-hand)** · 283 Star — Swift 客户端栈：在驱动本地 computer-use 辅助逻辑时调用 JEV。 [源码证据](https://github.com/shhivv/third-hand/blob/430394b35dbb44ff8b303bf19da29b0828d92bd2/Sources/ThirdHand/JevClient.swift) +- **[JEV Browser](https://github.com/jkudish/jev-browser)** · 231 Star — 给定任务与网址后驱动浏览器，返回最终页面、截图和逐步操作记录。 [源码证据](https://github.com/jkudish/jev-browser/blob/8d90c51bedbe7cd07596bfaa532ded019a31d2a8/src/navigate.ts#L1) +- **[JEV Voice Browser](https://github.com/moritzkremb/jev-voice-browser)** · 216 Star — 用语音控制 Playwright 浏览器，将逐步转写的口令交给 Jev 判断。 [源码证据](https://github.com/moritzkremb/jev-voice-browser/blob/054db0f3dbf537af63a8117632d3f941ccd520e1/src/jev.js#L123) +- **[Arc CUA · TypeSafe Policy](https://github.com/shhivv/arc-cua)** · 127 Star — 带 TypeSafe Policy 实现的高速 Computer Use 动作层。 [源码证据](https://github.com/shhivv/arc-cua/blob/6d47ce6c906d7d8586d3553e277c1c3611c4f6af/src/arc_cua/policies/typesafe.py) +- **[JEV Use](https://github.com/savka777/jev-use)** · 86 Star — 无需视觉模型、通过无障碍控件操作 macOS 的 Computer Use 工具。 [源码证据](https://github.com/savka777/jev-use/blob/8907f85354addfa3d2b78f6a462087e4c73310b8/README.md) +- **[TypeSafe Adblock](https://github.com/realZachi/typesafe-adblock)** · 68 Star — 一个实验性 Chrome 扩展，让 Jev 判断候选 DOM 元素是否是广告，再高亮或移除。 [源码证据](https://github.com/realZachi/typesafe-adblock/blob/7e067d243d87b7fe4d511653c0ddcd77b9beee18/src/typesafe.js) +- **[JEV Browser](https://github.com/Ying-Kai-Liao/jev-browser)** · 67 Star — 把 LLM 规划与 JEV 动作结合的浏览器自动化库、CLI 与 MCP Server。 [源码证据](https://github.com/Ying-Kai-Liao/jev-browser/blob/578cff6e701a131733d03256078bb559a45ad188/src/jev.mjs) ↑ 返回分类 -### SDK 与框架集成 (23) +### SDK 与框架集成 (28) - **[LangChain · TypeSafe](https://github.com/langchain-ai/langchain)** · 146.8K Star — 面向 Python LangChain 工作流的可选 JEV 分类器集成。 [源码证据](https://github.com/langchain-ai/langchain/blob/eba445b7563d1709427bd8072892975a6ea59fdc/libs/partners/typesafe/langchain_typesafe/classifier.py) - **[Composio · TypeSafe Provider](https://github.com/ComposioHQ/composio)** · 30.3K Star — 用 JEV 在工具与有限参数选项之间做选择的 TypeSafe Provider。 [源码证据](https://github.com/ComposioHQ/composio/blob/4b5920bf7aa55c8a44657b060d4bd25ce7b13a9a/ts/packages/providers/typesafe/src/decide.ts) @@ -106,181 +107,203 @@ - **[Eliza · TypeSafe Client](https://github.com/elizaOS/eliza)** · 19.4K Star — Eliza Agent 操作系统中的可选 TypeSafe HTTP 适配器。 [源码证据](https://github.com/elizaOS/eliza/blob/ebc808e3a67fb941e29153d89fc896524d32fe3c/packages/agent/src/services/typesafe/client.ts) - **[LangChain.js · TypeSafe](https://github.com/langchain-ai/langchainjs)** · 18.2K Star — 面向 JavaScript LangChain 工作流的 TypeSafeClassifier 集成。 [源码证据](https://github.com/langchain-ai/langchainjs/blob/206d8b992bcf90ce7d46f2158f1ad85fc1d826c0/libs/providers/langchain-typesafe/src/classifier.ts) - **[Rig · TypeSafe Crate](https://github.com/0xPlaygrounds/rig)** · 8.7K Star — 用 Rust 类型表达 JEV 问题与答案的实验性 crate。 [源码证据](https://github.com/0xPlaygrounds/rig/blob/2d16c1b25f6749b3a2cd841beddf767106495069/crates/rig-typesafeai/src/wire.rs#L40) +- **[Bifrost · TypeSafe Provider](https://github.com/maximhq/bifrost)** · 8.2K Star — Bifrost 通过统一 Decision 操作把 TypeSafe 接成原生 Provider。 [源码证据](https://github.com/maximhq/bifrost/blob/40c3f7ee3a1a4277c5b269b850ca7725d419907f/core/providers/typesafe/typesafe.go) +- **[GPT-Load · JEV Provider](https://github.com/tbphp/gpt-load)** · 6.9K Star — 自托管 AI 网关内置一等 JEV 渠道与原生 Decisions 路由。 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Kotlin 类型化客户端与 Fake 实现。 [源码证据](https://github.com/http4k/http4k/blob/528ef94c9533b42be9010396bd1828ed1c84c9d2/connect/ai/typesafe/client/src/main/kotlin/org/http4k/connect/typesafe/action/SystemOne.kt) - **[Vellum Assistant · JEV](https://github.com/vellum-ai/vellum-assistant)** · 1.3K Star — 提交会话状态与显式问题的可选 JEV Provider。 [源码证据](https://github.com/vellum-ai/vellum-assistant/blob/ee5ba342719e72b67698c2e1a4a78837321d0b1d/assistant/src/providers/jev/client.ts) -- **[Req LLM](https://github.com/agentjido/req_llm)** · 580 Star — ReqLLM 的 TypeSafe provider，让 Elixir 应用通过 evaluate 接口调用 Jev。 [源码证据](https://github.com/agentjido/req_llm/blob/9cb0ee7a0fea5f3520fc953911d352c93193615e/README.md) -- **[Simple JEV](https://github.com/featherless-ai/simple-jev)** · 428 Star — 将任意开源大语言模型转化为分类器与 Jev 兼容端点的适配服务，无需额外训练专用分类头。 [源码证据](https://github.com/featherless-ai/simple-jev/blob/0dd5396ffce671ab7c4bfc031506d8e558cf8d23/demos/jevpilot/src/simple-jev-api.js#L1-L85) -- **[Classifier.dev](https://github.com/mrmps/classifier-dev)** · 396 Star — 以 JEV 为主要类型化决策后端的零样本分类服务。 [源码证据](https://github.com/mrmps/classifier-dev/blob/33ca63816f2bc7e93c3f2d0715f7896500370739/src/jev.ts) +- **[Req LLM](https://github.com/agentjido/req_llm)** · 581 Star — ReqLLM 的 TypeSafe provider，让 Elixir 应用通过 evaluate 接口调用 Jev。 [源码证据](https://github.com/agentjido/req_llm/blob/9cb0ee7a0fea5f3520fc953911d352c93193615e/README.md) +- **[Simple JEV](https://github.com/featherless-ai/simple-jev)** · 458 Star — 将任意开源大语言模型转化为分类器与 Jev 兼容端点的适配服务，无需额外训练专用分类头。 [源码证据](https://github.com/featherless-ai/simple-jev/blob/0dd5396ffce671ab7c4bfc031506d8e558cf8d23/demos/jevpilot/src/simple-jev-api.js#L1-L85) +- **[Classifier.dev](https://github.com/mrmps/classifier-dev)** · 406 Star — 以 JEV 为主要类型化决策后端的零样本分类服务。 [源码证据](https://github.com/mrmps/classifier-dev/blob/33ca63816f2bc7e93c3f2d0715f7896500370739/src/jev.ts) - **[Instructor Php](https://github.com/cognesy/instructor-php)** · 327 Star — Instructor 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决策循环。先写好观察、判断和执行步骤，再让它按预算在前台或后台运行。 [源码证据](https://github.com/monotykamary/pi-fabric/blob/2e5fcdd94cc364445b115756edefcaab24f68928/README.md) -- **[System One Adapter (Python)](https://github.com/typesafe-ai/system-one-adapter-python)** · 218 Star — 可替换 TypeSafeClient 的适配器，用普通 LLM API 承接 System One 调用。 [源码证据](https://github.com/typesafe-ai/system-one-adapter-python/blob/adffc2eab300a4fa3c0e92252d4ffd6ceaa53700/src/system_one_adapter/_client.py) -- **[TypeSafe SDK Js](https://github.com/typesafe-ai/typesafe-sdk-js)** · 196 Star — TypeSafe 组织发布的 JavaScript 与 TypeScript SDK，提供 Jev 请求和回答类型。 [源码证据](https://github.com/typesafe-ai/typesafe-sdk-js/blob/66880ccded6cb642dc1809620c2b108c33730214/README.md) -- **[TypeSafe SDK Python](https://github.com/typesafe-ai/typesafe-sdk-python)** · 171 Star — TypeSafe 官方 Python SDK，提供 Jev System One 的同步、异步客户端及问题和回答类型。 [源码证据](https://github.com/typesafe-ai/typesafe-sdk-python/blob/2ce5c65f13646cab6e6f782328194c9d85f3300a/src/typesafe_sdk/_core/client/sync/client.py#L206-L221) -- **[Runline](https://github.com/Michaelliv/runline)** · 162 Star — Runline 的 TypeSafe 插件，把 Jev 判断作为 Agent JavaScript 可调用的动作。 [源码证据](https://github.com/Michaelliv/runline/blob/6bdddfa82cd95b6b9a07e57fd93a271ae83a0d1b/README.md) +- **[Pi Fabric](https://github.com/monotykamary/pi-fabric)** · 244 Star — 给 Pi 的工具运行时加上可编程的 Jev 决策循环。先写好观察、判断和执行步骤，再让它按预算在前台或后台运行。 [源码证据](https://github.com/monotykamary/pi-fabric/blob/2e5fcdd94cc364445b115756edefcaab24f68928/README.md) +- **[System One Adapter (Python)](https://github.com/typesafe-ai/system-one-adapter-python)** · 243 Star — 可替换 TypeSafeClient 的适配器，用普通 LLM API 承接 System One 调用。 [源码证据](https://github.com/typesafe-ai/system-one-adapter-python/blob/adffc2eab300a4fa3c0e92252d4ffd6ceaa53700/src/system_one_adapter/_client.py) +- **[TypeSafe SDK 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JEV Judgments](https://github.com/can1357/oh-my-pi)** · 32.2K Star — 在编码 Agent 中提供可选 TypeSafe 判断器，处理有边界的工作流决策。 [源码证据](https://github.com/can1357/oh-my-pi/blob/78b753124d11f8dd3ae73e2524125890ff7c977e/packages/ai/src/judgment/typesafe.ts#L4) +- **[LiteLLM · JEV Router](https://github.com/BerriAI/litellm)** · 59.4K Star — LiteLLM 可在按复杂度路由模型的策略中使用 JEV。 [源码证据](https://github.com/BerriAI/litellm/blob/56116079c8022da0e8f7ff9ccb017ad5aca5aed2/litellm/router_strategy/complexity_router/jev_classifier.py#L70) +- **[Oh My Pi · JEV Judgments](https://github.com/can1357/oh-my-pi)** · 32.4K Star — 在编码 Agent 中提供可选 TypeSafe 判断器，处理有边界的工作流决策。 [源码证据](https://github.com/can1357/oh-my-pi/blob/78b753124d11f8dd3ae73e2524125890ff7c977e/packages/ai/src/judgment/typesafe.ts#L4) - **[OpenChamber · JEV Router](https://github.com/openchamber/openchamber)** · 10.2K Star — 在选择模型前先对消息分类的可选自动路由器。 [源码证据](https://github.com/openchamber/openchamber/blob/614d7f76e581a132a86575c03d3fa9aad5e624b6/packages/web/server/lib/routing/jev.js) - **[Firstmate · JEV Dispatch](https://github.com/kunchenguid/firstmate)** · 6.9K Star — 可用 JEV 把任务简报匹配到调度规则的 Agent 团队调度器。 [源码证据](https://github.com/kunchenguid/firstmate/blob/4812db801628040b609dc25a2a8a91ed5efac662/bin/fm-dispatch-resolve.sh) -- **[Atomic](https://github.com/bastani-inc/atomic)** · 809 Star — Atomic 编程 Agent 的可选 Jev 决策后端，为路由等流程提供受限的结构化选择。 [源码证据](https://github.com/bastani-inc/atomic/blob/33ca4ccb5f39488aeba67c0212a52a31cd14059d/packages/coding-agent/src/core/structured-output/jev.ts) -- **[Vexjoy Agent](https://github.com/notque/vexjoy-agent)** · 421 Star — 给 VexJoy 的任务分派增加一条 Jev 路线。输入需求后，判断该选哪位专长 Agent、哪项技能和哪条工作流。 [源码证据](https://github.com/notque/vexjoy-agent/blob/ab51ee7da567e84f72f76d73b6e7b83cec5ef060/README.md) -- **[Hermes JEV Skills](https://github.com/kerpopule/hermes-jev-skills)** · 335 Star — 为 Hermes Agent 提供 JEV 驱动的路由、记忆、压缩、Skill 选择与电脑/浏览器操作。 [源码证据](https://github.com/kerpopule/hermes-jev-skills/blob/a5d89014fbeca5102c5e7ccd3915afcd856505d8/jevkit/choose.py) -- **[WrongStack](https://github.com/WrongStack/WrongStack)** · 329 Star — 给 WrongStack 编程 Agent 增加一个可选分派助手。遇到多个相近的专长 Agent 时，用 Jev 判断谁更适合当前任务。 [源码证据](https://github.com/WrongStack/WrongStack/blob/4cf97c0aa4f855751949ee8e99c719d06f4c26e0/README.md) -- **[JEV Router](https://github.com/gargpratyush/jev-router)** · 283 Star — Claude Code / CLI 代理：Jev 给任务复杂度打分，并在当前账号可用的模型里选一个，再由本地策略决定是否更换。 [源码证据](https://github.com/gargpratyush/jev-router/blob/38da6b84ea01241bfc41fbddc0928d0f40a703f0/src/policy.mjs#L1-L63) -- **[Skillbox](https://github.com/kitze/skillbox)** · 220 Star — 自建一个有版本管理的 Agent 技能库，还能选配 Jev 推荐：告诉它当前任务，从你有权限使用的技能里挑更相关的。 [源码证据](https://github.com/kitze/skillbox/blob/d83ba4ecd254c8dfa6a759d1feb5141384e26a9e/README.md) -- **[JEV Codex Router](https://github.com/0xNatoshi/jev-codex-router)** · 125 Star — 每轮先让 Jev 判断任务类型与难度，再由本地策略为 Codex 选模型、思考深度和速度档。 [源码证据](https://github.com/0xNatoshi/jev-codex-router/blob/8292b519659280884627a962c826ac7721136a64/server/jev_server.py) -- **[JevRouter](https://github.com/BillionsBobby/JevRouter)** · 125 Star — 用于模型、工具与子 Agent 的轻量 JEV 路由器。 [源码证据](https://github.com/BillionsBobby/JevRouter/blob/715970774ae8070e958e83ac9b1a780b32a9184c/src/provider.ts) -- **[Grok Bot JEV](https://github.com/Bodila51/grok-bot-jev)** · 68 Star — 为 Grok Bot 提供用量闸门与 Skill 模板的 JEV 决策层。 [源码证据](https://github.com/Bodila51/grok-bot-jev/blob/1583e09928c138aeac0aa89818c67ea41f08e807/README.md) -- **[Agent Router](https://github.com/nidhi-singh02/agent-router)** · 58 Star — 用 JEV 把任务路由到编码 Agent、模型与推理强度的 CLI。 [源码证据](https://github.com/nidhi-singh02/agent-router/blob/ad7571f38ea31ffbf3c28391f9e6d6383a7c08ba/packages/router/src/semantic/typesafe-client.ts) +- **[Agent Router · TypeSafe](https://github.com/theagentrouter/agent-router)** · 2.1K Star — Agent Router 在 Envoy 网关中提供原生 TypeSafe System One 转换器。 [源码证据](https://github.com/theagentrouter/agent-router/blob/7d7c07ffdb14241362def2f7d3f76cbd06d518cc/internal/translator/typesafe_systemone.go) +- **[LLMGateway · System One](https://github.com/theopenco/llmgateway)** · 1.7K Star — LLMGateway 实现带类型化 Schema 与 Provider 映射的原生 System One 路由。 [源码证据](https://github.com/theopenco/llmgateway/blob/24de43b5f307ecbdee9aad386b68aee76de4ae8c/apps/gateway/src/systemone/systemone.ts) +- **[Atomic](https://github.com/bastani-inc/atomic)** · 812 Star — Atomic 编程 Agent 的可选 Jev 决策后端，为路由等流程提供受限的结构化选择。 [源码证据](https://github.com/bastani-inc/atomic/blob/33ca4ccb5f39488aeba67c0212a52a31cd14059d/packages/coding-agent/src/core/structured-output/jev.ts) +- **[Vexjoy Agent](https://github.com/notque/vexjoy-agent)** · 423 Star — 给 VexJoy 的任务分派增加一条 Jev 路线。输入需求后，判断该选哪位专长 Agent、哪项技能和哪条工作流。 [源码证据](https://github.com/notque/vexjoy-agent/blob/ab51ee7da567e84f72f76d73b6e7b83cec5ef060/README.md) +- **[Hermes JEV Skills](https://github.com/kerpopule/hermes-jev-skills)** · 401 Star — 为 Hermes Agent 提供 JEV 驱动的路由、记忆、压缩、Skill 选择与电脑/浏览器操作。 [源码证据](https://github.com/kerpopule/hermes-jev-skills/blob/a5d89014fbeca5102c5e7ccd3915afcd856505d8/jevkit/choose.py) +- **[WrongStack](https://github.com/WrongStack/WrongStack)** · 331 Star — 给 WrongStack 编程 Agent 增加一个可选分派助手。遇到多个相近的专长 Agent 时，用 Jev 判断谁更适合当前任务。 [源码证据](https://github.com/WrongStack/WrongStack/blob/4cf97c0aa4f855751949ee8e99c719d06f4c26e0/README.md) +- **[JEV Router](https://github.com/gargpratyush/jev-router)** · 316 Star — Claude Code / CLI 代理：Jev 给任务复杂度打分，并在当前账号可用的模型里选一个，再由本地策略决定是否更换。 [源码证据](https://github.com/gargpratyush/jev-router/blob/38da6b84ea01241bfc41fbddc0928d0f40a703f0/src/policy.mjs#L1-L63) +- **[Skillbox](https://github.com/kitze/skillbox)** · 223 Star — 自建一个有版本管理的 Agent 技能库，还能选配 Jev 推荐：告诉它当前任务，从你有权限使用的技能里挑更相关的。 [源码证据](https://github.com/kitze/skillbox/blob/d83ba4ecd254c8dfa6a759d1feb5141384e26a9e/README.md) +- **[JEV Codex Router](https://github.com/0xNatoshi/jev-codex-router)** · 184 Star — 每轮先让 Jev 判断任务类型与难度，再由本地策略为 Codex 选模型、思考深度和速度档。 [源码证据](https://github.com/0xNatoshi/jev-codex-router/blob/8292b519659280884627a962c826ac7721136a64/server/jev_server.py) +- **[JevRouter](https://github.com/BillionsBobby/JevRouter)** · 145 Star — 用于模型、工具与子 Agent 的轻量 JEV 路由器。 [源码证据](https://github.com/BillionsBobby/JevRouter/blob/715970774ae8070e958e83ac9b1a780b32a9184c/src/provider.ts) +- **[Grok Bot JEV](https://github.com/Bodila51/grok-bot-jev)** · 74 Star — 为 Grok Bot 提供用量闸门与 Skill 模板的 JEV 决策层。 [源码证据](https://github.com/Bodila51/grok-bot-jev/blob/1583e09928c138aeac0aa89818c67ea41f08e807/README.md) +- **[Agent Router](https://github.com/nidhi-singh02/agent-router)** · 63 Star — 用 JEV 把任务路由到编码 Agent、模型与推理强度的 CLI。 [源码证据](https://github.com/nidhi-singh02/agent-router/blob/ad7571f38ea31ffbf3c28391f9e6d6383a7c08ba/packages/router/src/semantic/typesafe-client.ts) ↑ 返回分类 -### 开放模型 (17) - -- **[Laya](https://github.com/NandhaKishorM/laya)** · 6.7K Star — 多语言非自回归 System 1 决策引擎：单次前向完成类型化 choice/score/noul，并由路由在检查点间选型。 [源码证据](https://github.com/NandhaKishorM/laya/blob/d113dca2512fb3eaca313534bc54c7162d87c1d4/README.md) -- **[SemIf](https://github.com/TheoLeeCJ/SemIf)** · 2.7K Star — 用开放模型实现“语义 if”接口模式的独立研究项目。 [源码证据](https://github.com/TheoLeeCJ/SemIf/blob/ca3ba65f142967030ecb453346e94d6f476a69df/README.md) -- **[NanoJev](https://github.com/TianyuCodings/NanoJev)** · 1.7K Star — 提供并行判断、动态候选与完整训练流程的 0.6B 开放 JEV 接口复刻。 [源码证据](https://github.com/TianyuCodings/NanoJev/blob/71a513bb0163b5634467842b523ee0c0ed6fb1c7/README.md) -- **[Kev 0.5B](https://github.com/jaredpalmer/kev)** · 1.5K Star — 基于 Qwen2.5-0.5B、可在 MacBook 上训练运行的轻量决策模型。 [源码证据](https://github.com/jaredpalmer/kev/blob/20fa6268c8ceb226530be2fb5266ab2c36b37724/README.md) -- **[Nimble](https://github.com/bespokelabsai/nimble)** · 1.4K Star — 面向本地类型化决策、数据整理与评测的开放工具包。 [源码证据](https://github.com/bespokelabsai/nimble/blob/35fe1f4fdbc64fa3dbbf5ac0042f3f5680c1ad28/README.md) -- **[Jevlike](https://github.com/vinnylarouge/jevlike)** · 1.1K Star — 一次为动态文本或视觉候选列表评分的独立入门模型。 [源码证据](https://github.com/vinnylarouge/jevlike/blob/94f5fd1b0b11d52bbdfdf4e0ee6aa96b568f8452/README.md) -- **[LocalJev](https://github.com/githubnext/localjev)** · 657 Star — 基于多种本地小模型、提供 JEV 兼容接口与评测的本地服务。 [源码证据](https://github.com/githubnext/localjev/blob/3f23e36e1a3bff46c7e83e8e3781d3512bc82021/README.md) -- **[Splash](https://github.com/incoai/splash)** · 506 Star — 面向决策类模型的本地 Apple Silicon 推理引擎。 [源码证据](https://github.com/incoai/splash/blob/f53d5ab543a7accdc332c060fd594a693f33f529/README.md) -- **[Von](https://github.com/wfzyx/von)** · 297 Star — 提供 JEV 兼容接口的本地开放 System One 决策模型。 [源码证据](https://github.com/wfzyx/von/blob/14d09878e89b103bfbbe641f9bed02e4d72c8830/README.md) -- **[OpenJEV SGLang](https://github.com/ekzhang/openjev-sglang)** · 245 Star — 基于开源模型的 JEV 兼容 API，采用 prefill-only 服务路径。 [源码证据](https://github.com/ekzhang/openjev-sglang/blob/604664a22b2cf44c6cc499e503092ae4e3c24c03/src/openjev/__init__.py) -- **[OpenJEV Verdict 2.0](https://github.com/Heman10x-NGU/openJev-verdict-2.0)** · 221 Star — 约 151M 的校准非自回归本地决策引擎，目标对齐类 JEV 类型化答案。 [源码证据](https://github.com/Heman10x-NGU/openJev-verdict-2.0/blob/a458733c5f43fc7f30b6e4381636cbfbf8437633/openjev/__init__.py) -- **[JEV Visual](https://github.com/hr98w/jev-visual)** · 192 Star — 在 Apple Silicon 上的教学向类 JEV 视觉推理实验，共享上下文直接给候选打分。 [源码证据](https://github.com/hr98w/jev-visual/blob/19af545f096e8db4c4dd5d47aed42d92ec252111/jev_visual/scoring.py) -- **[Jeff](https://github.com/logan-markewich/jeff)** · 183 Star — 基于 GliFormer、可自托管的 JEV 兼容服务。 [源码证据](https://github.com/logan-markewich/jeff/blob/34b32f99a727c47b679adde33f4702a001e02979/README.md) -- **[Decider](https://github.com/Mapika/decider)** · 180 Star — 一次前向的类型化决策与校准概率，基于 Qwen3.5-2B 微调。 [源码证据](https://github.com/Mapika/decider/blob/c4daaac28af9fea95d627015cffa2dd5a5926ee6/decider/__init__.py) -- **[djev-spark](https://github.com/mmastrac/djev-spark)** · 152 Star — 在 DGX Spark 上跑 DiffusionGemma NVFP4 结构化决策的容器配方。 [源码证据](https://github.com/mmastrac/djev-spark/blob/1444f3e927f83ba508e5b28a4fd4fdd9ecd0976b/README.md) -- **[Reflex](https://github.com/kshetrajna12/reflex)** · 91 Star — 在 Qwen 上复现 JEV/System One 接口的小型开放决策模型。 [源码证据](https://github.com/kshetrajna12/reflex/blob/e21b3b23afdfeee7021a6604fa38f57e7ff5187f/README.md) -- **[Open JEV](https://github.com/daseinlabs/open-jev)** · 82 Star — 支持自定义微调的开放 JEV 风格实现。 [源码证据](https://github.com/daseinlabs/open-jev/blob/8a4fbdf712e78c5ef45509a16aacb81facdd79be/README.md) +### 开放模型 (20) + +- **[Laya](https://github.com/NandhaKishorM/laya)** · 11.5K Star — 多语言非自回归 System 1 决策引擎：单次前向完成类型化 choice/score/noul，并由路由在检查点间选型。 [源码证据](https://github.com/NandhaKishorM/laya/blob/d113dca2512fb3eaca313534bc54c7162d87c1d4/README.md) +- **[SemIf](https://github.com/TheoLeeCJ/SemIf)** · 3.4K Star — 用开放模型实现“语义 if”接口模式的独立研究项目。 [源码证据](https://github.com/TheoLeeCJ/SemIf/blob/ca3ba65f142967030ecb453346e94d6f476a69df/README.md) +- **[Kev 0.5B](https://github.com/jaredpalmer/kev)** · 2.6K Star — 基于 Qwen2.5-0.5B、可在 MacBook 上训练运行的轻量决策模型。 [源码证据](https://github.com/jaredpalmer/kev/blob/20fa6268c8ceb226530be2fb5266ab2c36b37724/README.md) +- **[NanoJev](https://github.com/TianyuCodings/NanoJev)** · 1.9K Star — 提供并行判断、动态候选与完整训练流程的 0.6B 开放 JEV 接口复刻。 [源码证据](https://github.com/TianyuCodings/NanoJev/blob/71a513bb0163b5634467842b523ee0c0ed6fb1c7/README.md) +- **[Nimble](https://github.com/bespokelabsai/nimble)** · 1.5K Star — 面向本地类型化决策、数据整理与评测的开放工具包。 [源码证据](https://github.com/bespokelabsai/nimble/blob/35fe1f4fdbc64fa3dbbf5ac0042f3f5680c1ad28/README.md) +- **[Jevlike](https://github.com/vinnylarouge/jevlike)** · 1.2K Star — 一次为动态文本或视觉候选列表评分的独立入门模型。 [源码证据](https://github.com/vinnylarouge/jevlike/blob/94f5fd1b0b11d52bbdfdf4e0ee6aa96b568f8452/README.md) +- **[LocalJev](https://github.com/githubnext/localjev)** · 704 Star — 基于多种本地小模型、提供 JEV 兼容接口与评测的本地服务。 [源码证据](https://github.com/githubnext/localjev/blob/3f23e36e1a3bff46c7e83e8e3781d3512bc82021/README.md) +- **[Splash](https://github.com/incoai/splash)** · 578 Star — 面向决策类模型的本地 Apple Silicon 推理引擎。 [源码证据](https://github.com/incoai/splash/blob/f53d5ab543a7accdc332c060fd594a693f33f529/README.md) +- **[Von](https://github.com/wfzyx/von)** · 374 Star — 提供 JEV 兼容接口的本地开放 System One 决策模型。 [源码证据](https://github.com/wfzyx/von/blob/14d09878e89b103bfbbe641f9bed02e4d72c8830/README.md) +- **[Decider](https://github.com/Mapika/decider)** · 279 Star — 一次前向的类型化决策与校准概率，基于 Qwen3.5-2B 微调。 [源码证据](https://github.com/Mapika/decider/blob/c4daaac28af9fea95d627015cffa2dd5a5926ee6/decider/__init__.py) +- **[OpenJEV SGLang](https://github.com/ekzhang/openjev-sglang)** · 258 Star — 基于开源模型的 JEV 兼容 API，采用 prefill-only 服务路径。 [源码证据](https://github.com/ekzhang/openjev-sglang/blob/604664a22b2cf44c6cc499e503092ae4e3c24c03/src/openjev/__init__.py) +- **[OpenJEV Verdict 2.0](https://github.com/Heman10x-NGU/openJev-verdict-2.0)** · 246 Star — 约 151M 的校准非自回归本地决策引擎，目标对齐类 JEV 类型化答案。 [源码证据](https://github.com/Heman10x-NGU/openJev-verdict-2.0/blob/a458733c5f43fc7f30b6e4381636cbfbf8437633/openjev/__init__.py) +- **[JEV Visual](https://github.com/hr98w/jev-visual)** · 221 Star — 在 Apple Silicon 上的教学向类 JEV 视觉推理实验，共享上下文直接给候选打分。 [源码证据](https://github.com/hr98w/jev-visual/blob/19af545f096e8db4c4dd5d47aed42d92ec252111/jev_visual/scoring.py) +- **[Jeff](https://github.com/logan-markewich/jeff)** · 205 Star — 基于 GliFormer、可自托管的 JEV 兼容服务。 [源码证据](https://github.com/logan-markewich/jeff/blob/34b32f99a727c47b679adde33f4702a001e02979/README.md) +- **[Laya Node Runtime](https://github.com/receptron/laya)** · 195 Star — 面向开放 Laya JEV 兼容决策模型的 Node.js / TypeScript Runtime。 [源码证据](https://github.com/receptron/laya/blob/6478649e723122ca24bbf5fb69ed1010023c9750/src/laya.ts) +- **[djev-spark](https://github.com/mmastrac/djev-spark)** · 168 Star — 在 DGX Spark 上跑 DiffusionGemma NVFP4 结构化决策的容器配方。 [源码证据](https://github.com/mmastrac/djev-spark/blob/1444f3e927f83ba508e5b28a4fd4fdd9ecd0976b/README.md) +- **[LLM2Jev](https://github.com/Yinsongxu/LLM2Jev)** · 125 Star — 把本地语言模型转成 JEV 兼容结构化决策引擎的适配器。 [源码证据](https://github.com/Yinsongxu/LLM2Jev/blob/6fbbf74fc604f92fc9b0b67f0989157bb2908229/src/llm2jev/inference/binary.py) +- **[Reflex](https://github.com/kshetrajna12/reflex)** · 110 Star — 在 Qwen 上复现 JEV/System One 接口的小型开放决策模型。 [源码证据](https://github.com/kshetrajna12/reflex/blob/e21b3b23afdfeee7021a6604fa38f57e7ff5187f/README.md) +- **[Open JEV](https://github.com/daseinlabs/open-jev)** · 91 Star — 支持自定义微调的开放 JEV 风格实现。 [源码证据](https://github.com/daseinlabs/open-jev/blob/8a4fbdf712e78c5ef45509a16aacb81facdd79be/README.md) +- **[OpenJev](https://github.com/SiliconLabAI/OpenJev)** · 67 Star — 面向类型化决策请求的开源 JEV 兼容实现。 [源码证据](https://github.com/SiliconLabAI/OpenJev/blob/a08e969c37b2e4a37f95b3426f983bd94303590c/README.md) ↑ 返回分类 -### 搜索与数据 (9) - -- **[Kody](https://github.com/kentcdodds/kody)** · 659 Star — 可选的二段检索：先扩大混合召回，再用 Cloudflare Workers AI 上的 `typesafe/jev` Score 重排。 [源码证据](https://github.com/kentcdodds/kody/blob/ed9275186dc817530dd2289e62c208ac3809391f/packages/worker/src/mcp/tools/search-jev-rerank.ts) -- **[Jev Experiments](https://github.com/dabit3/jev-experiments)** · 352 Star — 包含意图搜索与 Agent Assist 流程的一组 JEV 实验。 [源码证据](https://github.com/dabit3/jev-experiments/tree/c469e5bfdc73eb3e1999bba2569e66b579a970fd/agent-assist) -- **[JEV Search](https://github.com/superagents-lab/jev-search)** · 352 Star — 用自然语言搜网页：Jev 选择搜索来源和时间范围，再给返回的链接排序。 [源码证据](https://github.com/superagents-lab/jev-search/blob/522868762f0637b20bf533f136e930cceb83b9f3/src/lib/typesafe.ts#L48) -- **[Tax Document Classifier](https://github.com/kyotofin/tax-doc-classifier)** · 314 Star — 把税务文档页面归入预先定义的 IRS 表格目录。 [源码证据](https://github.com/kyotofin/tax-doc-classifier/blob/6afcf701395466d7c936ec8178daf017b9d96b0c/src/backend.ts) -- **[Pg JEV](https://github.com/realZachi/pg-jev)** · 259 Star — 在 PostgreSQL 查询中用自然语言给数据行筛选、分类和排序。 [源码证据](https://github.com/realZachi/pg-jev/blob/afd11fa856d7a2b831a1bfd8ee7f869ce8efcd62/sql/jev--0.2.0.sql) -- **[jev-semgrep](https://github.com/uehaj/jev-semgrep)** · 122 Star — 支持跨语言 AND、OR、NOT 与概率阈值的“按意思搜索”grep。 [源码证据](https://github.com/uehaj/jev-semgrep/blob/ba6ef50f85d0c5d6caa4db102ee4db4a08c85dd2/README.md) +### 搜索与数据 (14) + +- **[OpenViking · JEV Rerank](https://github.com/volcengine/OpenViking)** · 38.4K Star — OpenViking 可用 JEV 对 Agent 记忆与上下文检索结果做校准重排。 [源码证据](https://github.com/volcengine/OpenViking/blob/b8bed5a1ad3a1c524b5e1fd0fa591df51ca9b7cc/openviking/models/rerank/jev_rerank.py) +- **[Hindsight · TypeSafe Rerank](https://github.com/vectorize-io/hindsight)** · 24.8K Star — 在 Agent 记忆系统中加入 TypeSafe 重排器，可剔除无关召回候选。 [源码证据](https://github.com/vectorize-io/hindsight/blob/680406b3dd9cca2108c7f0e204820a09b4e30906/hindsight-api-slim/hindsight_api/engine/cross_encoder.py) +- **[GreptimeDB · JEV SQL](https://github.com/GreptimeTeam/greptimedb)** · 6.7K Star — GreptimeDB 增加由 JEV 判断驱动的实验性 SQL 谓词。 [源码证据](https://github.com/GreptimeTeam/greptimedb/blob/b5199bc59a199875187d808158357a33b09e5f60/src/common/function/src/scalars/jev.rs) +- **[Kody](https://github.com/kentcdodds/kody)** · 663 Star — 可选的二段检索：先扩大混合召回，再用 Cloudflare Workers AI 上的 `typesafe/jev` Score 重排。 [源码证据](https://github.com/kentcdodds/kody/blob/ed9275186dc817530dd2289e62c208ac3809391f/packages/worker/src/mcp/tools/search-jev-rerank.ts) +- **[JEV Search](https://github.com/superagents-lab/jev-search)** · 385 Star — 用自然语言搜网页：Jev 选择搜索来源和时间范围，再给返回的链接排序。 [源码证据](https://github.com/superagents-lab/jev-search/blob/522868762f0637b20bf533f136e930cceb83b9f3/src/lib/typesafe.ts#L48) +- **[Jev Experiments](https://github.com/dabit3/jev-experiments)** · 358 Star — 包含意图搜索与 Agent Assist 流程的一组 JEV 实验。 [源码证据](https://github.com/dabit3/jev-experiments/tree/c469e5bfdc73eb3e1999bba2569e66b579a970fd/agent-assist) +- **[Tax Document Classifier](https://github.com/kyotofin/tax-doc-classifier)** · 348 Star — 把税务文档页面归入预先定义的 IRS 表格目录。 [源码证据](https://github.com/kyotofin/tax-doc-classifier/blob/6afcf701395466d7c936ec8178daf017b9d96b0c/src/backend.ts) +- **[Pg JEV](https://github.com/realZachi/pg-jev)** · 286 Star — 在 PostgreSQL 查询中用自然语言给数据行筛选、分类和排序。 [源码证据](https://github.com/realZachi/pg-jev/blob/afd11fa856d7a2b831a1bfd8ee7f869ce8efcd62/sql/jev--0.2.0.sql) +- **[SiftRank · JEV](https://github.com/noperator/siftrank)** · 202 Star — 使用 JEV 在大型集合中寻找相关条目的命令行排序工具。 [源码证据](https://github.com/noperator/siftrank/blob/03e7afe3289a204ea3dcc51613cea91877a651de/pkg/siftrank/jev_provider.go) +- **[DocJEV](https://github.com/jerryjliu/docjev)** · 201 Star — 带专用 JEV Engine 的文档分类与切分工具。 [源码证据](https://github.com/jerryjliu/docjev/blob/7e6b48d3f7eec8db7b582e7276f2778c0d12ca3d/src/jev_docs/engines/jev.py) +- **[jev-semgrep](https://github.com/uehaj/jev-semgrep)** · 124 Star — 支持跨语言 AND、OR、NOT 与概率阈值的“按意思搜索”grep。 [源码证据](https://github.com/uehaj/jev-semgrep/blob/ba6ef50f85d0c5d6caa4db102ee4db4a08c85dd2/README.md) +- **[Neo4JEV](https://github.com/jexp/neo4jev)** · 81 Star — 使用 JEV 判断下一条关系的 Neo4j 图导航器。 [源码证据](https://github.com/jexp/neo4jev/blob/d157bbe496eb91813475156942bef1c6badfb342/src/neo4jev/navigator.py) - **[Pg TypeSafe](https://github.com/giuliosmall/pg_typesafe)** · 81 Star — 一个预览阶段的 PostgreSQL C 扩展，让 SQL 直接调用 Jev 做分类、是非判断和评分。 [源码证据](https://github.com/giuliosmall/pg_typesafe/blob/4b5bfc1df11b18c3f07bb10804eeb47e4508ec6a/typesafe.c) -- **[jegrep](https://github.com/can1357/jegrep)** · 57 Star — 面向实时代码树的语义 grep：用自然语言描述目标，无需建索引即可返回文件与原始行号范围。 [源码证据](https://github.com/can1357/jegrep/blob/a280f14f6da8163bde67e0c49f58b23517a02882/src/jev.rs) -- **[Neo4JEV](https://github.com/jexp/neo4jev)** · 57 Star — 使用 JEV 判断下一条关系的 Neo4j 图导航器。 [源码证据](https://github.com/jexp/neo4jev/blob/d157bbe496eb91813475156942bef1c6badfb342/src/neo4jev/navigator.py) +- **[jegrep](https://github.com/can1357/jegrep)** · 75 Star — 面向实时代码树的语义 grep：用自然语言描述目标，无需建索引即可返回文件与原始行号范围。 [源码证据](https://github.com/can1357/jegrep/blob/a280f14f6da8163bde67e0c49f58b23517a02882/src/jev.rs) ↑ 返回分类 -### 安全与审查 (12) +### 安全与审查 (13) +- **[Sub2API · JEV Moderation](https://github.com/Wei-Shaw/sub2api)** · 42.3K Star — 在订阅转 API 网关中内置 TypeSafe 客户端，用于内容审核。 [源码证据](https://github.com/Wei-Shaw/sub2api/blob/1c0a69c0ceddb2fd21581c17ab09f6c500b89ba1/backend/internal/pkg/typesafe/client.go) - **[Agentgateway · JEV Guardrail](https://github.com/agentgateway/agentgateway)** · 5.0K Star — 用 JEV Webhook 检查模型请求与响应的 Guardrail 示例。 [源码证据](https://github.com/agentgateway/agentgateway/blob/6b0270efd25b5255932943e48b5ca47583d3ad28/examples/llm-guardrail-jev/guardrail.ts) - **[Latitude · JEV Preclassifier](https://github.com/latitude-dev/latitude-llm)** · 4.7K Star — 选择一段会话应执行哪些检查的可选 JEV 预分类器。 [源码证据](https://github.com/latitude-dev/latitude-llm/blob/6b2484c1d74973877fc7d353b8867c7496568d78/packages/domain/flaggers/src/use-cases/run-jev-preclassifier.ts#L1) -- **[Agent](https://github.com/AgentiLoop/Agent)** · 618 Star — 原生 macOS Agent 内的可选 Jev 命令风险顾问，配有 TypeSafeKit 客户端。 [源码证据](https://github.com/AgentiLoop/Agent/blob/078f87ceca1d1190cc73706ac8ec16442e766a27/README.md) -- **[jev-align](https://github.com/sutro-sh/jev-align)** · 253 Star — 用人工正反例和 GEPA 校准 JEV 分类标准的 CLI。 [源码证据](https://github.com/sutro-sh/jev-align/blob/49753df924d30c0d3642b58e0b9b1e89921dc102/README.md) -- **[Abide](https://github.com/coldteadotai/abide)** · 199 Star — 为普通 Linter 难以表达的项目规则增加 Agent 级约束。 [源码证据](https://github.com/coldteadotai/abide/blob/ec3352e873163b74aca1ac9cf3bd0ea69a97723a/README.md) -- **[Interlinked CLI](https://github.com/QuentinCody/interlinked-cli)** · 178 Star — Interlinked 在编程 Agent 的本地检查之外，提供可选 Jev 判断与证据检查。 [源码证据](https://github.com/QuentinCody/interlinked-cli/blob/207330d8131c5203ecc74e9fd4c24ba416463718/src/harness/jev/client.ts#L14) -- **[Unclutter](https://github.com/kitze/unclutter)** · 152 Star — 用 Jev 帮浏览器扩展识别网页中的广告、促销与订阅弹窗，并保存可复用的隐藏规则。 [源码证据](https://github.com/kitze/unclutter/blob/9ef9beccc1e57b4e3115ae68644b8fc9c19c29f6/lib/jev.ts) -- **[Pi JEV](https://github.com/y0usaf/pi-jev)** · 131 Star — Pi 编码 Agent 扩展：执行前提示工具风险，执行后检查秘密泄露与失败类型。 [源码证据](https://github.com/y0usaf/pi-jev/blob/b3478fd4ca1ac8ffcb703f6dc8d6069b555f531e/README.md) -- **[Pi Warden](https://github.com/DevMortimer/pi-warden)** · 118 Star — 给 Pi Agent 加项目规则、越界操作、重复失败和完成声明的检查。 [源码证据](https://github.com/DevMortimer/pi-warden/blob/e6c801679464b1a9624225114eb5fb443c27d823/src/guard.ts) -- **[Supercov](https://github.com/supercorp-ai/supercov)** · 85 Star — 使用 JEV 做有限质量检查的代码质量与覆盖率工具。 [源码证据](https://github.com/supercorp-ai/supercov/blob/55f5ce93a239829c224b89e6749991310be91ea4/crates/supercov-cli/src/quality.rs) +- **[Agent](https://github.com/AgentiLoop/Agent)** · 622 Star — 原生 macOS Agent 内的可选 Jev 命令风险顾问，配有 TypeSafeKit 客户端。 [源码证据](https://github.com/AgentiLoop/Agent/blob/078f87ceca1d1190cc73706ac8ec16442e766a27/README.md) +- **[jev-align](https://github.com/sutro-sh/jev-align)** · 271 Star — 用人工正反例和 GEPA 校准 JEV 分类标准的 CLI。 [源码证据](https://github.com/sutro-sh/jev-align/blob/49753df924d30c0d3642b58e0b9b1e89921dc102/README.md) +- **[Abide](https://github.com/coldteadotai/abide)** · 207 Star — 为普通 Linter 难以表达的项目规则增加 Agent 级约束。 [源码证据](https://github.com/coldteadotai/abide/blob/ec3352e873163b74aca1ac9cf3bd0ea69a97723a/README.md) +- **[Interlinked CLI](https://github.com/QuentinCody/interlinked-cli)** · 177 Star — Interlinked 在编程 Agent 的本地检查之外，提供可选 Jev 判断与证据检查。 [源码证据](https://github.com/QuentinCody/interlinked-cli/blob/207330d8131c5203ecc74e9fd4c24ba416463718/src/harness/jev/client.ts#L14) +- **[Unclutter](https://github.com/kitze/unclutter)** · 176 Star — 用 Jev 帮浏览器扩展识别网页中的广告、促销与订阅弹窗，并保存可复用的隐藏规则。 [源码证据](https://github.com/kitze/unclutter/blob/9ef9beccc1e57b4e3115ae68644b8fc9c19c29f6/lib/jev.ts) +- **[Pi JEV](https://github.com/y0usaf/pi-jev)** · 134 Star — Pi 编码 Agent 扩展：执行前提示工具风险，执行后检查秘密泄露与失败类型。 [源码证据](https://github.com/y0usaf/pi-jev/blob/b3478fd4ca1ac8ffcb703f6dc8d6069b555f531e/README.md) +- **[Pi Warden](https://github.com/DevMortimer/pi-warden)** · 132 Star — 给 Pi Agent 加项目规则、越界操作、重复失败和完成声明的检查。 [源码证据](https://github.com/DevMortimer/pi-warden/blob/e6c801679464b1a9624225114eb5fb443c27d823/src/guard.ts) +- **[Supercov](https://github.com/supercorp-ai/supercov)** · 94 Star — 使用 JEV 做有限质量检查的代码质量与覆盖率工具。 [源码证据](https://github.com/supercorp-ai/supercov/blob/55f5ce93a239829c224b89e6749991310be91ea4/crates/supercov-cli/src/quality.rs) - **[Captaincore](https://github.com/CaptainCore/captaincore)** · 71 Star — WordPress 运维工具 CaptainCore 的 Jev 命令，可询问结构化问题，并给恶意代码扫描结果排复核优先级。 [源码证据](https://github.com/CaptainCore/captaincore/blob/f54e0669350707b2f4f4c67a0130fdd6574bd0b5/cmd/typesafe.go) -- **[Oxlint Plugin JEV](https://github.com/wobsoriano/oxlint-plugin-jev)** · 52 Star — 用 JEV 评估语义 Lint 规则的 Oxlint 插件。 [源码证据](https://github.com/wobsoriano/oxlint-plugin-jev/blob/18c5bc9097d88344382a98a78a67698c9c7ecf01/src/jev.ts) +- **[Oxlint Plugin JEV](https://github.com/wobsoriano/oxlint-plugin-jev)** · 55 Star — 用 JEV 评估语义 Lint 规则的 Oxlint 插件。 [源码证据](https://github.com/wobsoriano/oxlint-plugin-jev/blob/18c5bc9097d88344382a98a78a67698c9c7ecf01/src/jev.ts) ↑ 返回分类 -### Agent 工作流 (11) +### Agent 工作流 (14) - **[Jev Model Router](https://github.com/davila7/claude-code-templates)** · 30.9K Star — 为 Claude Code 判断子 Agent 模型与推理强度的 Mod。 [源码证据](https://github.com/davila7/claude-code-templates/blob/61bfcd1586bf1076f6d3cfa0436317c912811e6c/cli-tool/components/mods/productivity/jev-model-router/hooks/jev-model-router.ts) - **[Openwork](https://github.com/different-ai/openwork)** · 23.7K Star — 开源的 cowork 风格 Agent 工作区，可在 CI 与 Skill 流程里跑 JEV 驱动的审查。 [源码证据](https://github.com/different-ai/openwork/blob/80c74d2160034fa1738fc6be78dd24ddfeccfc59/.github/scripts/jev-test-coverage-review.mjs) - **[Eve](https://github.com/vercel/eve)** · 5.3K Star — Vercel 开源的 Agent 框架，用于打包 Skill、评测与带工具的工作流。 [源码证据](https://github.com/vercel/eve/blob/d004e6d47e9d25d0380c24b5a47b65a18f8b2784/README.md) +- **[RNSkill · JEV Office Gate](https://github.com/Pluviobyte/rnskill)** · 1.6K Star — Agent Skill 合集中包含一个用于有限办公文档检查的 JEV Gate。 [源码证据](https://github.com/Pluviobyte/rnskill/blob/83d1783b892bbaa29a137895ff8338264b6872fa/skills/jev-office-gate/scripts/jev_office_gate.py) - **[NewsJack](https://github.com/elvisun/newsjack)** · 1.3K Star — 从实时新闻流中筛选品牌可跟进话题的开源 PR 工作流。 [源码证据](https://github.com/elvisun/newsjack/tree/092d882fc69912622f620c50eb493afe625f99dc/demos/news-desk-dealer) +- **[Distill · JEV Runtime](https://github.com/samuelfaj/distill)** · 683 Star — 编码 Agent Runtime 使用 JEV 分支处理路由、压缩、记忆与工具结果。 [源码证据](https://github.com/samuelfaj/distill/blob/d5f031153cb817f023138a9a0b3fce5516f727c4/crates/codegen/distill-shell/src/jev.rs) - **[Smithers](https://github.com/smithersai/smithers)** · 418 Star — 以 TypeScript 配置定义工作流的 Agent 框架，内置 JEV 分类路径。 [源码证据](https://github.com/smithersai/smithers/blob/394ada6a3fb815b4b62cfc7bc2242e238d42ff44/apps/server/src/jev.ts) -- **[Compact Adviser](https://github.com/kunchenguid/compact-adviser)** · 157 Star — 编码 Agent 的 Skill/插件：建议何时压缩上下文以节省 token。 [源码证据](https://github.com/kunchenguid/compact-adviser/blob/d1655faa16a22b68bff60c3d7deb0123e1e52a53/packages/codex-plugin/skills/compact-adviser/SKILL.md) -- **[JEV Pruner](https://github.com/tamaratran/jev-pruner)** · 130 Star — Claude Code 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742 Star — 有证据支撑的 JEV 用例、模式、提示词与起步代码手册。 [源码证据](https://github.com/Anil-matcha/awesome-jev-by-typesafe/blob/0f4a1eadcdd70f4fc1cf8eadcf72794dfe416095/docs/jev-use-case-playbook.md) -- **[Awesome JEV Tools](https://github.com/v-modal/awesome-jev-tools)** · 599 Star — 聚焦 JEV 与 TypeSafe System One 工具的精选目录。 [源码证据](https://github.com/v-modal/awesome-jev-tools/blob/f117e0c368d6e293bf5fdf99244a1173a6dc2ae0/README.md) -- **[Foreman](https://github.com/thruwire/foreman)** · 446 Star — 独立监督环读取编码工人的 diff、日志和测试，用 Jev Noul 判断卡住、跑偏、该验证，再由 Python 策略干预。 [源码证据](https://github.com/thruwire/foreman/blob/209182dac7a3467033fd093ab4ca47d21279984a/src/foreman/foreman/jev.py) -- **[Jev Review](https://github.com/devagrawal09/jev-review)** · 438 Star — 分阶段检查 Git diff 或整个代码库，在本地面板里展示可复核的审查线索。 [源码证据](https://github.com/devagrawal09/jev-review/blob/31f89602797fb7bea007f8a480bf368bf564954e/src/review/judgments.ts#L38) -- **[Awesome TypeSafe](https://github.com/AbdelStark/awesome-typesafe)** · 414 Star — 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Hedge Fund · JEV Adapter](https://github.com/virattt/ai-hedge-fund)** · 63.7K Star — 在教育型 AI 对冲基金原型中加入可选 JEV 适配器，用于结构化策略判断。 [源码证据](https://github.com/virattt/ai-hedge-fund/blob/154a8b2f46dca0f40764d814e4e747b0ad71f4c4/hedge_fund/llm/client.py) +- **[QuantDinger · JEV Gate](https://github.com/OpenByteInc/QuantDinger)** · 12.0K Star — 在部分真实交易入场前增加 JEV 决策闸门的开源交易系统。 [源码证据](https://github.com/OpenByteInc/QuantDinger/blob/12c04eb2cdb8a9d08dc84502f5261ec3f1c56bf7/backend_api_python/app/services/ai_decision_filter.py) +- **[JEV Trader](https://github.com/jarrodwatts/jev-trader)** · 1.9K Star — 可在 Monad 每个区块请求一次 JEV 交易判断的做市实验。 [源码证据](https://github.com/jarrodwatts/jev-trader/blob/b587759e459ea049590102e54a0b07800864cdc3/src/model.ts) +- **[Astra + JEV Minecraft Agent](https://github.com/rmalde/minecraft-agent)** · 485 Star — 由规划模型设定目标、JEV 选择合法游戏动作的 Minecraft Agent。 [源码证据](https://github.com/rmalde/minecraft-agent/blob/78b40ed59514e5e2abde33a05ce398ecb2c39e05/models.mjs) +- **[TypeSafe Mario](https://github.com/fhshaik/typesafe-mario)** · 338 Star — 从 NES 模拟器 RAM 和状态数据中提取环境，让 Jev 选择超级马力欧的手柄按键。 [源码证据](https://github.com/fhshaik/typesafe-mario/blob/ca22449ed187118d19326d1f54b01b6636578aa4/README.md) +- **[Jevpilot](https://github.com/standardagents/jevpilot)** · 155 Star — 在浏览器里开一辆小车，让 Jev 从提前算好的路线和速度里选下一步。 [源码证据](https://github.com/standardagents/jevpilot/blob/e1beeb13b9a928fb76f167f86af584f4ce9cf180/README.md) +- **[Dasheng](https://github.com/wquguru/dasheng)** · 119 Star — 把流式 ASR 与 JEV 逐词判断结合的朗读练习应用。 [源码证据](https://github.com/wquguru/dasheng/blob/1bacff4a075527e6c02da242a72d117e7cb3286b/lib/jev.js) +- **[JEV Drone](https://github.com/RomanSlack/jev-drone)** · 119 Star — MuJoCo 无人机仿真实验：从相机缓冲区提取场景，Jev 提供战术动作建议。 [源码证据](https://github.com/RomanSlack/jev-drone/blob/cbeb53ce4f17a06ea490ae43effcdad231143610/tactics.py#L184) +- **[JEV Eval Agent](https://github.com/vinilana/jev-eval-agent)** · 103 Star — 智能体工具选择基准测试平台，在包含 100 个模拟工具的个人助理环境下对比大模型直接选工具与 Jev 路由的效率。 [源码证据](https://github.com/vinilana/jev-eval-agent/blob/037de1120c84b4b63cdf748e2acf258ff66d7731/agent/lib/jev-router.ts#L1-L154) +- **[Formanator](https://github.com/timrogers/formanator)** · 99 Star — 支持可选 JEV 收据分类的福利报销 CLI 与 MCP 客户端。 [源码证据](https://github.com/timrogers/formanator/blob/548740edef37a4169eef163e4988e64f43a560ec/src/typesafe.rs) +- **[JEV Trade](https://github.com/aowang-ai/jev-trade)** · 95 Star — 以 JEV 作为有限决策层的 Hyperliquid 实盘交易 Agent。 [源码证据](https://github.com/aowang-ai/jev-trade/blob/df2c9656324a8a75996eb0612de7adcfe3ce6f89/src/model.ts) +- **[Prism Liquidity Agent](https://github.com/irfndi/prism-liquidity-agent)** · 69 Star — 在再平衡决策服务中使用 JEV 的自动化流动性 Agent。 [源码证据](https://github.com/irfndi/prism-liquidity-agent/blob/22c67bdbe30bab608226832256a5013ad826b707/engine/jev-service.ts) +- **[Jev Reviewer](https://github.com/choxos/jev-reviewer)** · 32 Star — 在浏览器中运行的应用，从试验报告里摘录原文引文，用于填写系统综述的数据提取表。 [源码证据](https://github.com/choxos/jev-reviewer/blob/da15868cdca5e64555e6643243a52ea71f60cf3b/docs/jev.js#L51) ↑ 返回分类 diff --git a/data/projects.json b/data/projects.json index ea85f07..806a4b0 100644 --- a/data/projects.json +++ b/data/projects.json @@ -1,10 +1,10 @@ { "schemaVersion": 3, - "capturedAt": "2026-09-21", + "capturedAt": "2026-09-22", "source": { "name": "BeatAPI Awesome JEV curation", - "batch": "2026-09-21-star50-two-source-and-code-search", - "policy": "Project-level deduplication. Public JEV-related GitHub repositories at or above 50 stars are included only after fixed-commit source review. Discovery includes awesomejev.com, logicrw/awesome-jev-projects, GitHub repository search, and GitHub code search. Runtime behavior is not independently verified. One editorial exception below the 50-star floor: choxos/jev-reviewer (30 stars), added at the maintainers' discretion." + "batch": "2026-09-22-star50-cross-search-and-source-review", + "policy": "Project-level deduplication. Public JEV-related GitHub repositories at or above 50 stars are included only after fixed-commit source review. Discovery includes GitHub repository search, GitHub code search, current competitor catalogues, and direct source inspection. Runtime behavior is not independently verified. One editorial exception below the 50-star floor: choxos/jev-reviewer." }, "projects": [ { @@ -16,7 +16,7 @@ "evidenceUrl": "https://github.com/langchain-ai/langchain/blob/eba445b7563d1709427bd8072892975a6ea59fdc/libs/partners/typesafe/langchain_typesafe/classifier.py", "language": "Python", "license": "MIT", - "starsAtCapture": 146779, + "starsAtCapture": 146831, "summary": { "en": "An optional JEV classifier integration for Python LangChain workflows.", "zh": "面向 Python LangChain 工作流的可选 JEV 分类器集成。", @@ -44,7 +44,7 @@ "evidenceUrl": "https://github.com/virattt/ai-hedge-fund/blob/154a8b2f46dca0f40764d814e4e747b0ad71f4c4/hedge_fund/llm/client.py", "language": "Python", "license": "MIT", - "starsAtCapture": 63642, + "starsAtCapture": 63657, "summary": { "en": "An educational hedge-fund prototype with an optional JEV adapter for structured strategy judgments.", "zh": "在教育型 AI 对冲基金原型中加入可选 JEV 适配器，用于结构化策略判断。", @@ -72,7 +72,7 @@ "evidenceUrl": "https://github.com/BerriAI/litellm/blob/56116079c8022da0e8f7ff9ccb017ad5aca5aed2/litellm/router_strategy/complexity_router/jev_classifier.py#L70", "language": "Python", "license": "MIT", - "starsAtCapture": 59305, + "starsAtCapture": 59361, "summary": { "en": "LiteLLM can use JEV inside its complexity-based model router.", "zh": "LiteLLM 可在按复杂度路由模型的策略中使用 JEV。", @@ -91,6 +91,62 @@ "verification": "source-reviewed", "runtimeVerified": false }, + { + "id": "sub2api-jev-moderation", + "name": "Sub2API · JEV Moderation", + "owner": "Wei-Shaw", + "category": "safety-review", + "starsAtCapture": 42323, + "language": "Go", + "license": "LGPL-3.0", + "summary": { + "en": "A subscription-to-API gateway with a native TypeSafe client for content moderation.", + "zh": "在订阅转 API 网关中内置 TypeSafe 客户端，用于内容审核。", + "ja": "サブスクリプションを API 化するゲートウェイに、コンテンツ審査用 TypeSafe クライアントを内蔵。" + }, + "decision": { + "en": "Batches Noul questions, validates every probability, and returns moderation scores to local risk-control policy.", + "zh": "批量提交 Noul 问题，校验每个概率，再把审核分数交给本地风控策略。", + "ja": "Noul 質問をまとめて送信し、各確率を検証してからローカルのリスク制御へ審査スコアを返します。" + }, + "repoUrl": "https://github.com/Wei-Shaw/sub2api", + "evidenceUrl": "https://github.com/Wei-Shaw/sub2api/blob/1c0a69c0ceddb2fd21581c17ab09f6c500b89ba1/backend/internal/pkg/typesafe/client.go", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/Wei-Shaw/sub2api/blob/1c0a69c0ceddb2fd21581c17ab09f6c500b89ba1/backend/internal/pkg/typesafe/client.go" + }, + "verification": "source-reviewed", + "runtimeVerified": false + }, + { + "id": "openviking-jev-rerank", + "name": "OpenViking · JEV Rerank", + "owner": "volcengine", + "category": "search-data", + "starsAtCapture": 38371, + "language": "Python", + "license": "AGPL-3.0", + "summary": { + "en": "OpenViking can use JEV as a calibrated reranker for agent memory and context retrieval.", + "zh": "OpenViking 可用 JEV 对 Agent 记忆与上下文检索结果做校准重排。", + "ja": "OpenViking は JEV を使い、Agent の記憶・コンテキスト検索結果を較正して再順位付けできます。" + }, + "decision": { + "en": "Asks one Noul relevance question per document and falls back to vector scores when evaluation fails.", + "zh": "为每篇文档提出一个 Noul 相关性问题，判断失败时回退到向量分数。", + "ja": "文書ごとに Noul の関連性質問を行い、評価に失敗した場合はベクトルスコアへフォールバックします。" + }, + "repoUrl": "https://github.com/volcengine/OpenViking", + "evidenceUrl": "https://github.com/volcengine/OpenViking/blob/b8bed5a1ad3a1c524b5e1fd0fa591df51ca9b7cc/openviking/models/rerank/jev_rerank.py", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/volcengine/OpenViking/blob/b8bed5a1ad3a1c524b5e1fd0fa591df51ca9b7cc/openviking/models/rerank/jev_rerank.py" + }, + "verification": "source-reviewed", + "runtimeVerified": false + }, { "id": "oh-my-pi-jev", "name": "Oh My Pi · JEV Judgments", @@ -100,7 +156,7 @@ "evidenceUrl": "https://github.com/can1357/oh-my-pi/blob/78b753124d11f8dd3ae73e2524125890ff7c977e/packages/ai/src/judgment/typesafe.ts#L4", "language": "TypeScript", "license": "MIT", - "starsAtCapture": 32236, + "starsAtCapture": 32384, "summary": { "en": "A coding agent with an optional TypeSafe judgment provider for bounded workflow decisions.", "zh": "在编码 Agent 中提供可选 TypeSafe 判断器，处理有边界的工作流决策。", @@ -128,7 +184,7 @@ "evidenceUrl": "https://github.com/davila7/claude-code-templates/blob/61bfcd1586bf1076f6d3cfa0436317c912811e6c/cli-tool/components/mods/productivity/jev-model-router/hooks/jev-model-router.ts", "language": "TypeScript", "license": "MIT", - "starsAtCapture": 30870, + "starsAtCapture": 30897, "summary": { "en": "A Claude Code mod that classifies subagent model and reasoning-effort needs.", "zh": "为 Claude Code 判断子 Agent 模型与推理强度的 Mod。", @@ -158,7 +214,7 @@ "evidenceUrl": "https://github.com/ComposioHQ/composio/blob/4b5920bf7aa55c8a44657b060d4bd25ce7b13a9a/ts/packages/providers/typesafe/src/decide.ts", "language": "TypeScript", "license": "MIT", - "starsAtCapture": 30268, + "starsAtCapture": 30279, "summary": { "en": "A TypeSafe provider that uses JEV to choose among tools and bounded argument options.", "zh": "用 JEV 在工具与有限参数选项之间做选择的 TypeSafe Provider。", @@ -186,7 +242,7 @@ "evidenceUrl": "https://github.com/vercel/ai/blob/73ec7015edd4f04ca9144ce93a8a037a731e5db8/packages/typesafe-ai/src/typesafe-ai-evaluation-model.ts", "language": "TypeScript", "license": "Mixed", - "starsAtCapture": 26870, + "starsAtCapture": 26887, "summary": { "en": "The AI SDK TypeSafe provider exposes JEV through the shared evaluate interface.", "zh": "AI SDK 的 TypeSafe Provider 通过统一 evaluate 接口调用 JEV。", @@ -214,7 +270,7 @@ "evidenceUrl": "https://github.com/trycua/cua/blob/83f142c4290a0f7d9ed545ae8532858c6e4f8145/libs/cua-driver/examples/jev-use/python/jev_adapter.py#L11", "language": "Python", "license": "MIT", - "starsAtCapture": 25422, + "starsAtCapture": 25786, "summary": { "en": "A computer-use example pairing Cua Driver observation and execution with bounded JEV choices.", "zh": "把 Cua Driver 的观察与执行能力和 JEV 的有限动作选择结合起来。", @@ -233,6 +289,34 @@ "verification": "source-reviewed", "runtimeVerified": false }, + { + "id": "hindsight-typesafe-rerank", + "name": "Hindsight · TypeSafe Rerank", + "owner": "vectorize-io", + "category": "search-data", + "starsAtCapture": 24801, + "language": "Python", + "license": "MIT", + "summary": { + "en": "An agent-memory system with a TypeSafe reranker that can prune irrelevant recall candidates.", + "zh": "在 Agent 记忆系统中加入 TypeSafe 重排器，可剔除无关召回候选。", + "ja": "Agent メモリに TypeSafe リランカーを追加し、無関係な検索候補を除外できます。" + }, + "decision": { + "en": "Uses calibrated relevance decisions to score and optionally prune retrieved memories under bounded retry policy.", + "zh": "用校准后的相关性判断评分并按需剪枝召回记忆，同时受有限重试策略约束。", + "ja": "較正済みの関連性判断で記憶を採点・必要に応じて除外し、再試行回数も制限します。" + }, + "repoUrl": "https://github.com/vectorize-io/hindsight", + "evidenceUrl": "https://github.com/vectorize-io/hindsight/blob/680406b3dd9cca2108c7f0e204820a09b4e30906/hindsight-api-slim/hindsight_api/engine/cross_encoder.py", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/vectorize-io/hindsight/blob/680406b3dd9cca2108c7f0e204820a09b4e30906/hindsight-api-slim/hindsight_api/engine/cross_encoder.py" + }, + "verification": "source-reviewed", + "runtimeVerified": false + }, { "id": "openwork", "name": "Openwork", @@ -247,7 +331,7 @@ }, "language": "TypeScript", "license": "Not declared", - "starsAtCapture": 23682, + "starsAtCapture": 23687, "summary": { "en": "An open-source cowork-style agent workspace that can run JEV-backed reviews inside CI and skill workflows.", "zh": "开源的 cowork 风格 Agent 工作区，可在 CI 与 Skill 流程里跑 JEV 驱动的审查。", @@ -270,7 +354,7 @@ "evidenceUrl": "https://github.com/pydantic/pydantic-ai/blob/c4898abb54dc25ae6f6aef208a4c0661b30a455e/pydantic_ai_slim/pydantic_ai/models/typesafe.py", "language": "Python", "license": "MIT", - "starsAtCapture": 20084, + "starsAtCapture": 20109, "summary": { "en": "A TypeSafe model integration that maps supported structured outputs to JEV questions.", "zh": "把受支持的结构化输出映射为 JEV 问题的 TypeSafe 模型集成。", @@ -298,7 +382,7 @@ "evidenceUrl": "https://github.com/elizaOS/eliza/blob/ebc808e3a67fb941e29153d89fc896524d32fe3c/packages/agent/src/services/typesafe/client.ts", "language": "TypeScript", "license": "MIT", - "starsAtCapture": 19404, + "starsAtCapture": 19406, "summary": { "en": "An optional TypeSafe HTTP adapter in the Eliza agent operating system.", "zh": "Eliza Agent 操作系统中的可选 TypeSafe HTTP 适配器。", @@ -326,7 +410,7 @@ "evidenceUrl": "https://github.com/langchain-ai/langchainjs/blob/206d8b992bcf90ce7d46f2158f1ad85fc1d826c0/libs/providers/langchain-typesafe/src/classifier.ts", "language": "TypeScript", "license": "MIT", - "starsAtCapture": 18215, + "starsAtCapture": 18214, "summary": { "en": "A TypeSafeClassifier integration for JavaScript LangChain workflows.", "zh": "面向 JavaScript LangChain 工作流的 TypeSafeClassifier 集成。", @@ -354,7 +438,7 @@ "evidenceUrl": "https://github.com/vercel-labs/json-render/blob/3ad381881194e7011ad3ccd6d668033495a06c29/apps/web/lib/jev/compose.ts", "language": "TypeScript", "license": "Apache-2.0", - "starsAtCapture": 17731, + "starsAtCapture": 17976, "summary": { "en": "A JEV UI-composition experiment that selects from predefined components and properties.", "zh": "用 JEV 从预定义组件与属性中进行选择的 UI 组合实验。", @@ -389,7 +473,7 @@ }, "language": "Python", "license": "MIT", - "starsAtCapture": 13811, + "starsAtCapture": 16335, "summary": { "en": "A browser agent that uses JEV to choose an action and matching DOM element, calling a text model only when input text is needed.", "zh": "用 JEV 一次选出浏览器动作与对应 DOM 元素，只在需要输入文本时再调用文本模型。", @@ -412,7 +496,7 @@ "evidenceUrl": "https://github.com/OpenByteInc/QuantDinger/blob/12c04eb2cdb8a9d08dc84502f5261ec3f1c56bf7/backend_api_python/app/services/ai_decision_filter.py", "language": "Python", "license": "Apache-2.0", - "starsAtCapture": 11883, + "starsAtCapture": 11959, "summary": { "en": "An open-source trading OS with a JEV decision gate before selected live entries.", "zh": "在部分真实交易入场前增加 JEV 决策闸门的开源交易系统。", @@ -431,6 +515,35 @@ "verification": "source-reviewed", "runtimeVerified": false }, + { + "id": "laya", + "name": "Laya", + "owner": "NandhaKishorM", + "category": "open-models", + "repoUrl": "https://github.com/NandhaKishorM/laya", + "evidenceUrl": "https://github.com/NandhaKishorM/laya/blob/d113dca2512fb3eaca313534bc54c7162d87c1d4/README.md", + "modelUrl": "https://huggingface.co/convaiinnovations/laya", + "language": "Python", + "license": "Apache-2.0", + "starsAtCapture": 11547, + "summary": { + "en": "Multilingual non-autoregressive System 1 decision engine: typed choice/score/noul in one forward pass, with a router across checkpoints.", + "zh": "多语言非自回归 System 1 决策引擎：单次前向完成类型化 choice/score/noul，并由路由在检查点间选型。", + "ja": "多言語・非自己回帰の System 1 意思決定エンジン。1 回の前向き計算で型付き choice/score/noul を出し、ルータがチェックポイントを選びます。" + }, + "decision": { + "en": "Answers typed questions over text or structured state without generating free-form text to parse.", + "zh": "对文本或结构化状态回答类型化问题，不生成再解析自由文本。", + "ja": "テキストや構造化状態に対する型付き質問に答え、自由文を生成してパースしません。" + }, + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/NandhaKishorM/laya/blob/d113dca2512fb3eaca313534bc54c7162d87c1d4/README.md" + }, + "verification": "source-reviewed", + "runtimeVerified": false + }, { "id": "openchamber-jev-router", "name": "OpenChamber · JEV Router", @@ -440,7 +553,7 @@ "evidenceUrl": "https://github.com/openchamber/openchamber/blob/614d7f76e581a132a86575c03d3fa9aad5e624b6/packages/web/server/lib/routing/jev.js", "language": "TypeScript", "license": "MIT", - "starsAtCapture": 10213, + "starsAtCapture": 10237, "summary": { "en": "An optional automatic model router that classifies a message before model selection.", "zh": "在选择模型前先对消息分类的可选自动路由器。", @@ -468,7 +581,7 @@ "evidenceUrl": "https://github.com/0xPlaygrounds/rig/blob/2d16c1b25f6749b3a2cd841beddf767106495069/crates/rig-typesafeai/src/wire.rs#L40", "language": "Rust", "license": "MIT", - "starsAtCapture": 8691, + "starsAtCapture": 8694, "summary": { "en": "An experimental Rust crate for expressing JEV questions and answers with Rust types.", "zh": "用 Rust 类型表达 JEV 问题与答案的实验性 crate。", @@ -487,6 +600,62 @@ "verification": "source-reviewed", "runtimeVerified": false }, + { + "id": "bifrost-typesafe-provider", + "name": "Bifrost · TypeSafe Provider", + "owner": "maximhq", + "category": "sdk-integrations", + "starsAtCapture": 8227, + "language": "Go", + "license": "Apache-2.0", + "summary": { + "en": "Bifrost exposes TypeSafe as a native provider through its shared decision operation.", + "zh": "Bifrost 通过统一 Decision 操作把 TypeSafe 接成原生 Provider。", + "ja": "Bifrost は共通の Decision 操作を通じて TypeSafe をネイティブ Provider として公開します。" + }, + "decision": { + "en": "Maps Bifrost decision requests to System One while preserving aliases, usage, errors, and typed answers.", + "zh": "把 Bifrost 决策请求映射到 System One，并保留别名、用量、错误与类型化答案。", + "ja": "Bifrost の判断リクエストを System One に変換し、別名・使用量・エラー・型付き回答を保持します。" + }, + "repoUrl": "https://github.com/maximhq/bifrost", + "evidenceUrl": "https://github.com/maximhq/bifrost/blob/40c3f7ee3a1a4277c5b269b850ca7725d419907f/core/providers/typesafe/typesafe.go", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/maximhq/bifrost/blob/40c3f7ee3a1a4277c5b269b850ca7725d419907f/core/providers/typesafe/typesafe.go" + }, + "verification": "source-reviewed", + "runtimeVerified": false + }, + { + "id": "gpt-load-jev-provider", + "name": "GPT-Load · JEV Provider", + "owner": "tbphp", + "category": "sdk-integrations", + "starsAtCapture": 6942, + "language": "Go", + "license": "MIT", + "summary": { + "en": "A self-hosted AI gateway with a first-class JEV channel and native Decisions routes.", + "zh": "自托管 AI 网关内置一等 JEV 渠道与原生 Decisions 路由。", + "ja": "セルフホスト AI ゲートウェイに、JEV 専用チャネルとネイティブ Decisions ルートを搭載。" + }, + "decision": { + "en": "Registers the fixed TypeSafe endpoint and routes decision creation, model listing, and probes through the native protocol.", + "zh": "注册固定 TypeSafe 端点，并通过原生协议处理决策创建、模型列表与探测。", + "ja": "固定 TypeSafe エンドポイントを登録し、判断作成・モデル一覧・プローブをネイティブプロトコルで処理します。" + }, + "repoUrl": "https://github.com/tbphp/gpt-load", + "evidenceUrl": "https://github.com/tbphp/gpt-load/blob/93502ced3a650018a35ed76c54573e90742b8ccc/internal/channel/modules/jev.go", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/tbphp/gpt-load/blob/93502ced3a650018a35ed76c54573e90742b8ccc/internal/channel/modules/jev.go" + }, + "verification": "source-reviewed", + "runtimeVerified": false + }, { "id": "firstmate-jev", "name": "Firstmate · JEV Dispatch", @@ -496,7 +665,7 @@ "evidenceUrl": "https://github.com/kunchenguid/firstmate/blob/4812db801628040b609dc25a2a8a91ed5efac662/bin/fm-dispatch-resolve.sh", "language": "Shell", "license": "MIT", - "starsAtCapture": 6889, + "starsAtCapture": 6930, "summary": { "en": "An agent crew dispatcher that can match task briefs to rules with JEV.", "zh": "可用 JEV 把任务简报匹配到调度规则的 Agent 团队调度器。", @@ -516,30 +685,29 @@ "runtimeVerified": false }, { - "id": "laya", - "name": "Laya", - "owner": "NandhaKishorM", - "category": "open-models", - "repoUrl": "https://github.com/NandhaKishorM/laya", - "evidenceUrl": "https://github.com/NandhaKishorM/laya/blob/d113dca2512fb3eaca313534bc54c7162d87c1d4/README.md", - "modelUrl": "https://huggingface.co/convaiinnovations/laya", - "language": "Python", + "id": "greptimedb-jev-sql", + "name": "GreptimeDB · JEV SQL", + "owner": "GreptimeTeam", + "category": "search-data", + "starsAtCapture": 6697, + "language": "Rust", "license": "Apache-2.0", - "starsAtCapture": 6688, "summary": { - "en": "Multilingual non-autoregressive System 1 decision engine: typed choice/score/noul in one forward pass, with a router across checkpoints.", - "zh": "多语言非自回归 System 1 决策引擎：单次前向完成类型化 choice/score/noul，并由路由在检查点间选型。", - "ja": "多言語・非自己回帰の System 1 意思決定エンジン。1 回の前向き計算で型付き choice/score/noul を出し、ルータがチェックポイントを選びます。" + "en": "GreptimeDB adds an experimental SQL predicate backed by JEV judgments.", + "zh": "GreptimeDB 增加由 JEV 判断驱动的实验性 SQL 谓词。", + "ja": "GreptimeDB に JEV 判断を利用する実験的 SQL 述語を追加。" }, "decision": { - "en": "Answers typed questions over text or structured state without generating free-form text to parse.", - "zh": "对文本或结构化状态回答类型化问题，不生成再解析自由文本。", - "ja": "テキストや構造化状態に対する型付き質問に答え、自由文を生成してパースしません。" + "en": "Evaluates each non-null row as a Noul question and compares its probability with a caller-supplied threshold.", + "zh": "把每个非空行作为 Noul 问题评估，并与调用方给定阈值比较。", + "ja": "各非 null 行を Noul 質問として評価し、呼び出し側指定の閾値と確率を比較します。" }, + "repoUrl": "https://github.com/GreptimeTeam/greptimedb", + "evidenceUrl": "https://github.com/GreptimeTeam/greptimedb/blob/b5199bc59a199875187d808158357a33b09e5f60/src/common/function/src/scalars/jev.rs", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/NandhaKishorM/laya/blob/d113dca2512fb3eaca313534bc54c7162d87c1d4/README.md" + "url": "https://github.com/GreptimeTeam/greptimedb/blob/b5199bc59a199875187d808158357a33b09e5f60/src/common/function/src/scalars/jev.rs" }, "verification": "source-reviewed", "runtimeVerified": false @@ -553,7 +721,7 @@ "evidenceUrl": "https://github.com/tamaratran/fast-jev-compaction/blob/e3f262a7f4d42bd8dd32ced30d26176f7cb545b0/src/client.ts", "language": "TypeScript", "license": "MIT", - "starsAtCapture": 5719, + "starsAtCapture": 6044, "summary": { "en": "Compacts Claude Code tool history while keeping retained text verbatim.", "zh": "压缩 Claude Code 工具历史，同时原样保留仍有价值的内容。", @@ -574,6 +742,34 @@ "views": 18175 } }, + { + "id": "open-connector-typesafe", + "name": "Open Connector · TypeSafe", + "owner": "oomol-lab", + "category": "sdk-integrations", + "starsAtCapture": 5858, + "language": "TypeScript", + "license": "Apache-2.0", + "summary": { + "en": "Open Connector exposes TypeSafe evaluation through its provider runtime.", + "zh": "Open Connector 通过 Provider Runtime 暴露 TypeSafe 评估能力。", + "ja": "Open Connector は Provider Runtime 経由で TypeSafe 評価を公開します。" + }, + "decision": { + "en": "Validates Noul, Choice, and Score questions and responses before returning them to connector workflows.", + "zh": "在返回 Connector 工作流前，校验 Noul、Choice、Score 问题及其响应。", + "ja": "Noul・Choice・Score の質問と応答を検証してから Connector ワークフローへ返します。" + }, + "repoUrl": "https://github.com/oomol-lab/open-connector", + "evidenceUrl": "https://github.com/oomol-lab/open-connector/blob/4e6d8533ae436cba4781b6fb69d1bf31e5fb5ffe/src/providers/typesafe_ai/runtime.ts", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/oomol-lab/open-connector/blob/4e6d8533ae436cba4781b6fb69d1bf31e5fb5ffe/src/providers/typesafe_ai/runtime.ts" + }, + "verification": "source-reviewed", + "runtimeVerified": false + }, { "id": "vercel-eve", "name": "Eve", @@ -588,7 +784,7 @@ }, "language": "TypeScript", "license": "Apache-2.0", - "starsAtCapture": 5291, + "starsAtCapture": 5300, "summary": { "en": "Vercel’s open agent framework for packaging skills, evals, and tool-using workflows.", "zh": "Vercel 开源的 Agent 框架，用于打包 Skill、评测与带工具的工作流。", @@ -602,6 +798,34 @@ "verification": "source-reviewed", "runtimeVerified": false }, + { + "id": "kiln-jev-adapter", + "name": "Kiln · JEV Adapter", + "owner": "Kiln-AI", + "category": "sdk-integrations", + "starsAtCapture": 5078, + "language": "Python", + "license": "NOASSERTION", + "summary": { + "en": "Kiln maps compatible JSON schemas to JEV questions for structured single-turn tasks.", + "zh": "Kiln 把兼容的 JSON Schema 映射为 JEV 问题，用于结构化单轮任务。", + "ja": "Kiln は互換 JSON Schema を JEV 質問へ変換し、構造化された単発タスクを実行します。" + }, + "decision": { + "en": "Converts enums, booleans, bounded integers, and probabilities into typed questions, then reconstructs schema-valid output.", + "zh": "把枚举、布尔值、有限整数与概率转成类型化问题，再重建符合 Schema 的输出。", + "ja": "列挙・真偽・範囲付き整数・確率を型付き質問へ変換し、Schema 適合の出力を復元します。" + }, + "repoUrl": "https://github.com/Kiln-AI/Kiln", + "evidenceUrl": "https://github.com/Kiln-AI/Kiln/blob/5992e2e51ec6782fce33f277145954ba3ae8467e/libs/core/kiln_ai/adapters/model_adapters/jev_adapter.py", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/Kiln-AI/Kiln/blob/5992e2e51ec6782fce33f277145954ba3ae8467e/libs/core/kiln_ai/adapters/model_adapters/jev_adapter.py" + }, + "verification": "source-reviewed", + "runtimeVerified": false + }, { "id": "agentgateway-jev-guardrail", "name": "Agentgateway · JEV Guardrail", @@ -611,7 +835,7 @@ "evidenceUrl": "https://github.com/agentgateway/agentgateway/blob/6b0270efd25b5255932943e48b5ca47583d3ad28/examples/llm-guardrail-jev/guardrail.ts", "language": "TypeScript", "license": "Apache-2.0", - "starsAtCapture": 4953, + "starsAtCapture": 4970, "summary": { "en": "A JEV webhook guardrail example for inspecting model requests and responses.", "zh": "用 JEV Webhook 检查模型请求与响应的 Guardrail 示例。", @@ -658,6 +882,35 @@ "verification": "source-reviewed", "runtimeVerified": false }, + { + "id": "semif", + "name": "SemIf", + "owner": "TheoLeeCJ", + "category": "open-models", + "repoUrl": "https://github.com/TheoLeeCJ/SemIf", + "evidenceUrl": "https://github.com/TheoLeeCJ/SemIf/blob/ca3ba65f142967030ecb453346e94d6f476a69df/README.md", + "modelUrl": "https://github.com/TheoLeeCJ/SemIf#models", + "language": "Python", + "license": "MIT", + "starsAtCapture": 3357, + "summary": { + "en": "An independent open-model implementation of the semantic-if interface pattern.", + "zh": "用开放模型实现“语义 if”接口模式的独立研究项目。", + "ja": "semantic-if インターフェイス パターンの独立したオープンモデル実装。" + }, + "decision": { + "en": "Reads option probabilities directly from open models without a generated answer sentence.", + "zh": "直接读取开放模型的选项概率，不生成再解析答案文本。", + "ja": "生成された回答文を使用せずに、オープン モデルからオプションの確率を直接読み取ります。" + }, + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/TheoLeeCJ/SemIf/blob/ca3ba65f142967030ecb453346e94d6f476a69df/README.md" + }, + "verification": "source-reviewed", + "runtimeVerified": false + }, { "id": "ax-typesafe", "name": "Ax · TypeSafe Client", @@ -667,7 +920,7 @@ "evidenceUrl": "https://github.com/ax-llm/ax/blob/5c43344f9ef3016db576fa2c3b59d48ef21b4d71/src/ax/ai/typesafe/client.ts#L1", "language": "TypeScript", "license": "Apache-2.0", - "starsAtCapture": 2934, + "starsAtCapture": 2942, "summary": { "en": "A TypeSafe integration for boolean, finite-class, and native JEV signatures.", "zh": "支持布尔、有限分类以及原生 JEV 请求的 TypeSafe 集成。", @@ -687,30 +940,87 @@ "runtimeVerified": false }, { - "id": "semif", - "name": "SemIf", - "owner": "TheoLeeCJ", + "id": "http4k-typesafe-client", + "name": "http4k · TypeSafe Client", + "owner": "http4k", + "category": "sdk-integrations", + "starsAtCapture": 2789, + "language": "Kotlin", + "license": "NOASSERTION", + "summary": { + "en": "A typed Kotlin client and fake implementation for the TypeSafe System One API.", + "zh": "面向 TypeSafe System One API 的 Kotlin 类型化客户端与 Fake 实现。", + "ja": "TypeSafe System One API 向けの型付き Kotlin クライアントと Fake 実装。" + }, + "decision": { + "en": "Builds model, state, and typed question maps and posts them to the native System One endpoint.", + "zh": "构建模型、状态和类型化问题映射，并提交到原生 System One 端点。", + "ja": "モデル・状態・型付き質問のマップを作成し、ネイティブ System One エンドポイントへ送信します。" + }, + "repoUrl": "https://github.com/http4k/http4k", + "evidenceUrl": "https://github.com/http4k/http4k/blob/528ef94c9533b42be9010396bd1828ed1c84c9d2/connect/ai/typesafe/client/src/main/kotlin/org/http4k/connect/typesafe/action/SystemOne.kt", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/http4k/http4k/blob/528ef94c9533b42be9010396bd1828ed1c84c9d2/connect/ai/typesafe/client/src/main/kotlin/org/http4k/connect/typesafe/action/SystemOne.kt" + }, + "verification": "source-reviewed", + "runtimeVerified": false + }, + { + "id": "kev", + "name": "Kev 0.5B", + "owner": "jaredpalmer", "category": "open-models", - "repoUrl": "https://github.com/TheoLeeCJ/SemIf", - "evidenceUrl": "https://github.com/TheoLeeCJ/SemIf/blob/ca3ba65f142967030ecb453346e94d6f476a69df/README.md", - "modelUrl": "https://github.com/TheoLeeCJ/SemIf#models", + "repoUrl": "https://github.com/jaredpalmer/kev", + "evidenceUrl": "https://github.com/jaredpalmer/kev/blob/20fa6268c8ceb226530be2fb5266ab2c36b37724/README.md", "language": "Python", - "license": "MIT", - "starsAtCapture": 2749, + "license": "Apache-2.0", + "starsAtCapture": 2638, "summary": { - "en": "An independent open-model implementation of the semantic-if interface pattern.", - "zh": "用开放模型实现“语义 if”接口模式的独立研究项目。", - "ja": "semantic-if インターフェイス パターンの独立したオープンモデル実装。" + "en": "A tiny trainable Jev-like decision model based on Qwen2.5-0.5B.", + "zh": "基于 Qwen2.5-0.5B、可在 MacBook 上训练运行的轻量决策模型。", + "ja": "Qwen2.5-0.5B に基づく、小さなトレーニング可能な JEV のような意思決定モデル。" }, "decision": { - "en": "Reads option probabilities directly from open models without a generated answer sentence.", - "zh": "直接读取开放模型的选项概率，不生成再解析答案文本。", - "ja": "生成された回答文を使用せずに、オープン モデルからオプションの確率を直接読み取ります。" + "en": "Exposes a TypeSafe-compatible API for bounded local choices and scores.", + "zh": "通过 TypeSafe 兼容接口完成有边界的本地选择与评分。", + "ja": "制限されたローカルの選択肢とスコア用の TypeSafe 互換 API を公開します。" + }, + "verification": "source-reviewed", + "runtimeVerified": false, + "source": { + "type": "x", + "label": "Original X case", + "url": "https://x.com/jaredpalmer/status/2101028325472841920", + "author": "@jaredpalmer", + "views": 165852 + } + }, + { + "id": "agent-router-typesafe", + "name": "Agent Router · TypeSafe", + "owner": "theagentrouter", + "category": "routing-optimization", + "starsAtCapture": 2127, + "language": "Go", + "license": "Apache-2.0", + "summary": { + "en": "Agent Router provides a native TypeSafe System One translator in its Envoy-based gateway.", + "zh": "Agent Router 在 Envoy 网关中提供原生 TypeSafe System One 转换器。", + "ja": "Agent Router は Envoy ベースのゲートウェイに TypeSafe System One トランスレータを備えます。" }, + "decision": { + "en": "Passes typed requests through with optional model overrides while retaining usage, errors, and resolved model identity.", + "zh": "在可选模型覆盖下透传类型化请求，并保留用量、错误与解析后的模型身份。", + "ja": "任意のモデル上書きを適用しつつ型付きリクエストを透過し、使用量・エラー・解決済みモデルを保持します。" + }, + "repoUrl": "https://github.com/theagentrouter/agent-router", + "evidenceUrl": "https://github.com/theagentrouter/agent-router/blob/7d7c07ffdb14241362def2f7d3f76cbd06d518cc/internal/translator/typesafe_systemone.go", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/TheoLeeCJ/SemIf/blob/ca3ba65f142967030ecb453346e94d6f476a69df/README.md" + "url": "https://github.com/theagentrouter/agent-router/blob/7d7c07ffdb14241362def2f7d3f76cbd06d518cc/internal/translator/typesafe_systemone.go" }, "verification": "source-reviewed", "runtimeVerified": false @@ -724,7 +1034,7 @@ "evidenceUrl": "https://github.com/jarrodwatts/jev-trader/blob/b587759e459ea049590102e54a0b07800864cdc3/src/model.ts", "language": "TypeScript", "license": "MIT", - "starsAtCapture": 1672, + "starsAtCapture": 1882, "summary": { "en": "A market-making experiment that can request one JEV trade decision per Monad block.", "zh": "可在 Monad 每个区块请求一次 JEV 交易判断的做市实验。", @@ -753,7 +1063,7 @@ "modelUrl": "https://huggingface.co/C-Tianyu/NanoJev", "language": "Python", "license": "MIT", - "starsAtCapture": 1672, + "starsAtCapture": 1853, "summary": { "en": "A 0.6B open replica of the JEV interface with parallel decisions and a training pipeline.", "zh": "提供并行判断、动态候选与完整训练流程的 0.6B 开放 JEV 接口复刻。", @@ -773,34 +1083,60 @@ "runtimeVerified": false }, { - "id": "kev", - "name": "Kev 0.5B", - "owner": "jaredpalmer", - "category": "open-models", - "repoUrl": "https://github.com/jaredpalmer/kev", - "evidenceUrl": "https://github.com/jaredpalmer/kev/blob/20fa6268c8ceb226530be2fb5266ab2c36b37724/README.md", - "language": "Python", - "license": "Apache-2.0", - "starsAtCapture": 1530, + "id": "llmgateway-system-one", + "name": "LLMGateway · System One", + "owner": "theopenco", + "category": "routing-optimization", + "starsAtCapture": 1651, + "language": "TypeScript", + "license": "NOASSERTION", "summary": { - "en": "A tiny trainable Jev-like decision model based on Qwen2.5-0.5B.", - "zh": "基于 Qwen2.5-0.5B、可在 MacBook 上训练运行的轻量决策模型。", - "ja": "Qwen2.5-0.5B に基づく、小さなトレーニング可能な JEV のような意思決定モデル。" + "en": "LLMGateway implements a native System One route with typed schemas and provider mappings.", + "zh": "LLMGateway 实现带类型化 Schema 与 Provider 映射的原生 System One 路由。", + "ja": "LLMGateway は型付き Schema と Provider マッピングを備えたネイティブ System One ルートを実装。" }, "decision": { - "en": "Exposes a TypeSafe-compatible API for bounded local choices and scores.", - "zh": "通过 TypeSafe 兼容接口完成有边界的本地选择与评分。", - "ja": "制限されたローカルの選択肢とスコア用の TypeSafe 互換 API を公開します。" + "en": "Validates Noul, Choice, and Score requests, resolves aliases to priced models, and routes them through decision-capable providers.", + "zh": "校验 Noul、Choice、Score 请求，将别名解析到已定价模型，再路由到支持决策的 Provider。", + "ja": "Noul・Choice・Score を検証し、別名を価格設定済みモデルへ解決して、判断対応 Provider にルーティングします。" }, - "verification": "source-reviewed", - "runtimeVerified": false, + "repoUrl": "https://github.com/theopenco/llmgateway", + "evidenceUrl": "https://github.com/theopenco/llmgateway/blob/24de43b5f307ecbdee9aad386b68aee76de4ae8c/apps/gateway/src/systemone/systemone.ts", "source": { - "type": "x", - "label": "Original X case", - "url": "https://x.com/jaredpalmer/status/2101028325472841920", - "author": "@jaredpalmer", - "views": 165852 - } + "type": "github", + "label": "GitHub source", + "url": "https://github.com/theopenco/llmgateway/blob/24de43b5f307ecbdee9aad386b68aee76de4ae8c/apps/gateway/src/systemone/systemone.ts" + }, + "verification": "source-reviewed", + "runtimeVerified": false + }, + { + "id": "jev-chat-jarvis", + "name": "JEV Chat Jarvis", + "owner": "jev-chat", + "category": "interfaces", + "starsAtCapture": 1645, + "language": "Kotlin", + "license": "MIT", + "summary": { + "en": "An Android conversation copilot that reads visible chat context and proposes replies without auto-sending.", + "zh": "读取可见聊天上下文、给出候选回复但不自动发送的 Android 对话副驾。", + "ja": "表示中の会話を読み、候補返信を提案するが自動送信しない Android 会話コパイロット。" + }, + "decision": { + "en": "Uses JEV to judge conversation state and bounded reply choices while the user retains the send action.", + "zh": "用 JEV 判断会话状态与有限回复选项，最终发送仍由用户控制。", + "ja": "JEV で会話状態と限定された返信候補を判断し、送信操作はユーザーに残します。" + }, + "repoUrl": "https://github.com/jev-chat/jev-chat-jarvis", + "evidenceUrl": "https://github.com/jev-chat/jev-chat-jarvis/blob/d8720521fa13aa5172a891cba95c5dd8aeb44a11/app/src/main/java/com/jev/probe/jev/JevClient.kt", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/jev-chat/jev-chat-jarvis/blob/d8720521fa13aa5172a891cba95c5dd8aeb44a11/app/src/main/java/com/jev/probe/jev/JevClient.kt" + }, + "verification": "source-reviewed", + "runtimeVerified": false }, { "id": "typesafe-skills", @@ -816,7 +1152,7 @@ }, "language": "Not declared", "license": "MIT", - "starsAtCapture": 1388, + "starsAtCapture": 1610, "summary": { "en": "Official agent skills for building against TypeSafe’s System One / JEV API.", "zh": "面向 TypeSafe System One / JEV API 的官方 Agent Skill 集合。", @@ -831,29 +1167,29 @@ "runtimeVerified": false }, { - "id": "agent-desktop-jev", - "name": "Agent Desktop · JEV Skill", - "owner": "lahfir", - "category": "browser-computer-use", - "repoUrl": "https://github.com/lahfir/agent-desktop", - "evidenceUrl": "https://github.com/lahfir/agent-desktop/blob/7a8e4a10281c7319733aa200fd79501f34529716/scripts/jev/act.mjs", - "language": "JavaScript", - "license": "Apache-2.0", - "starsAtCapture": 1378, + "id": "rnskill-jev-office-gate", + "name": "RNSkill · JEV Office Gate", + "owner": "Pluviobyte", + "category": "agent-workflows", + "starsAtCapture": 1591, + "language": "Python", + "license": "NOASSERTION", "summary": { - "en": "An optional JEV skill that chooses native desktop controls and actions from accessibility data.", - "zh": "根据系统无障碍数据选择原生桌面控件与动作的可选 JEV Skill。", - "ja": "アクセシビリティ データからネイティブ デスクトップ コントロールとアクションを選択するオプションの JEV スキル。" + "en": "An agent-skill collection containing a JEV gate for bounded office-document checks.", + "zh": "Agent Skill 合集中包含一个用于有限办公文档检查的 JEV Gate。", + "ja": "Agent Skill 集に、限定されたオフィス文書チェック用 JEV ゲートを収録。" }, "decision": { - "en": "Selects a target and action and estimates presence and risk before local policy executes.", - "zh": "选择目标与动作并估计存在性和风险，再由本地策略执行。", - "ja": "対象とアクションを選び、ローカルポリシーを実行する前に存在確率とリスクを見積もります。" + "en": "Turns configured document-review conditions into typed judgments before the workflow proceeds.", + "zh": "把配置好的文档审查条件转成类型化判断，再决定工作流是否继续。", + "ja": "設定済みの文書レビュー条件を型付き判断へ変換し、ワークフロー継続可否を決めます。" }, + "repoUrl": "https://github.com/Pluviobyte/rnskill", + "evidenceUrl": "https://github.com/Pluviobyte/rnskill/blob/83d1783b892bbaa29a137895ff8338264b6872fa/skills/jev-office-gate/scripts/jev_office_gate.py", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/lahfir/agent-desktop/blob/7a8e4a10281c7319733aa200fd79501f34529716/scripts/jev/act.mjs" + "url": "https://github.com/Pluviobyte/rnskill/blob/83d1783b892bbaa29a137895ff8338264b6872fa/skills/jev-office-gate/scripts/jev_office_gate.py" }, "verification": "source-reviewed", "runtimeVerified": false @@ -867,7 +1203,7 @@ "evidenceUrl": "https://github.com/bespokelabsai/nimble/blob/35fe1f4fdbc64fa3dbbf5ac0042f3f5680c1ad28/README.md", "language": "Python", "license": "Not declared", - "starsAtCapture": 1357, + "starsAtCapture": 1514, "summary": { "en": "An open toolkit for local typed decisions, data curation, and evaluation.", "zh": "面向本地类型化决策、数据整理与评测的开放工具包。", @@ -888,6 +1224,34 @@ "views": 63276 } }, + { + "id": "agent-desktop-jev", + "name": "Agent Desktop · JEV Skill", + "owner": "lahfir", + "category": "browser-computer-use", + "repoUrl": "https://github.com/lahfir/agent-desktop", + "evidenceUrl": "https://github.com/lahfir/agent-desktop/blob/7a8e4a10281c7319733aa200fd79501f34529716/scripts/jev/act.mjs", + "language": "JavaScript", + "license": "Apache-2.0", + "starsAtCapture": 1441, + "summary": { + "en": "An optional JEV skill that chooses native desktop controls and actions from accessibility data.", + "zh": "根据系统无障碍数据选择原生桌面控件与动作的可选 JEV Skill。", + "ja": "アクセシビリティ データからネイティブ デスクトップ コントロールとアクションを選択するオプションの JEV スキル。" + }, + "decision": { + "en": "Selects a target and action and estimates presence and risk before local policy executes.", + "zh": "选择目标与动作并估计存在性和风险，再由本地策略执行。", + "ja": "対象とアクションを選び、ローカルポリシーを実行する前に存在確率とリスクを見積もります。" + }, + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/lahfir/agent-desktop/blob/7a8e4a10281c7319733aa200fd79501f34529716/scripts/jev/act.mjs" + }, + "verification": "source-reviewed", + "runtimeVerified": false + }, { "id": "vellum-assistant-jev", "name": "Vellum Assistant · JEV", @@ -897,7 +1261,7 @@ "evidenceUrl": "https://github.com/vellum-ai/vellum-assistant/blob/ee5ba342719e72b67698c2e1a4a78837321d0b1d/assistant/src/providers/jev/client.ts", "language": "TypeScript", "license": "MIT", - "starsAtCapture": 1293, + "starsAtCapture": 1295, "summary": { "en": "An optional JEV provider that submits conversation state and explicit questions.", "zh": "提交会话状态与显式问题的可选 JEV Provider。", @@ -925,7 +1289,7 @@ "evidenceUrl": "https://github.com/elvisun/newsjack/tree/092d882fc69912622f620c50eb493afe625f99dc/demos/news-desk-dealer", "language": "Go", "license": "MIT", - "starsAtCapture": 1271, + "starsAtCapture": 1292, "summary": { "en": "An open-source PR workflow that screens a live news feed for timely brand opportunities.", "zh": "从实时新闻流中筛选品牌可跟进话题的开源 PR 工作流。", @@ -955,7 +1319,7 @@ "evidenceUrl": "https://github.com/vinnylarouge/jevlike/blob/94f5fd1b0b11d52bbdfdf4e0ee6aa96b568f8452/README.md", "language": "Python", "license": "MIT", - "starsAtCapture": 1132, + "starsAtCapture": 1170, "summary": { "en": "An independent starter model that scores a changing list of text or visual options in one pass.", "zh": "一次为动态文本或视觉候选列表评分的独立入门模型。", @@ -974,6 +1338,34 @@ "verification": "source-reviewed", "runtimeVerified": false }, + { + "id": "yibie-awesome-jev", + "name": "Awesome JEV (yibie)", + "owner": "yibie", + "category": "developer-tools", + "repoUrl": "https://github.com/yibie/awesome-jev", + "evidenceUrl": "https://github.com/yibie/awesome-jev/blob/a42aea88b30aeb62b3f165395f15336853e01863/README.md", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/yibie/awesome-jev/blob/a42aea88b30aeb62b3f165395f15336853e01863/README.md" + }, + "language": "Python", + "license": "Unknown", + "starsAtCapture": 1046, + "summary": { + "en": "A large community directory of public JEV projects, integrations, and discussions.", + "zh": "收录公开 JEV 项目、集成与讨论的大型社区目录。", + "ja": "公開 JEV プロジェクト、連携、議論をまとめた大規模コミュニティ目录。" + }, + "decision": { + "en": "Organizes the ecosystem into browsable implementation and discussion groups.", + "zh": "把生态项目按实现与讨论类型整理为可浏览目录。", + "ja": "実装と議論を参照しやすい分類に整理します。" + }, + "verification": "source-reviewed", + "runtimeVerified": false + }, { "id": "celestoai:celesto", "name": "Celesto", @@ -988,7 +1380,7 @@ }, "language": "", "license": "Apache-2.0", - "starsAtCapture": 946, + "starsAtCapture": 958, "summary": { "en": "A Celesto PR-review example prepares sandbox checks and compares a general model with Jev on candidate findings.", "zh": "Celesto 的 PR 审查示例在沙盒中准备检查，再比较普通模型与 Jev 对候选问题的判断。", @@ -1016,7 +1408,7 @@ }, "language": "TypeScript", "license": "Custom license", - "starsAtCapture": 809, + "starsAtCapture": 812, "summary": { "en": "An optional Jev decision backend in the Atomic coding Agent for bounded structured choices such as routing.", "zh": "Atomic 编程 Agent 的可选 Jev 决策后端，为路由等流程提供受限的结构化选择。", @@ -1044,7 +1436,7 @@ }, "language": "TypeScript", "license": "Not declared", - "starsAtCapture": 808, + "starsAtCapture": 810, "summary": { "en": "A terminal generator CLI that ships with an agent skill for creating content from the command line.", "zh": "终端生成 CLI，并附带可从命令行创作内容的 Agent Skill。", @@ -1058,34 +1450,6 @@ "verification": "source-reviewed", "runtimeVerified": false }, - { - "id": "yibie-awesome-jev", - "name": "Awesome JEV (yibie)", - "owner": "yibie", - "category": "developer-tools", - "repoUrl": "https://github.com/yibie/awesome-jev", - "evidenceUrl": "https://github.com/yibie/awesome-jev/blob/a42aea88b30aeb62b3f165395f15336853e01863/README.md", - "source": { - "type": "github", - "label": "GitHub source", - "url": "https://github.com/yibie/awesome-jev/blob/a42aea88b30aeb62b3f165395f15336853e01863/README.md" - }, - "language": "Python", - "license": "Unknown", - "starsAtCapture": 805, - "summary": { - "en": "A large community directory of public JEV projects, integrations, and discussions.", - "zh": "收录公开 JEV 项目、集成与讨论的大型社区目录。", - "ja": "公開 JEV プロジェクト、連携、議論をまとめた大規模コミュニティ目录。" - }, - "decision": { - "en": "Organizes the ecosystem into browsable implementation and discussion groups.", - "zh": "把生态项目按实现与讨论类型整理为可浏览目录。", - "ja": "実装と議論を参照しやすい分類に整理します。" - }, - "verification": "source-reviewed", - "runtimeVerified": false - }, { "id": "awesome-jev-by-typesafe", "name": "Awesome JEV by TypeSafe", @@ -1100,7 +1464,7 @@ }, "language": "Python", "license": "MIT", - "starsAtCapture": 742, + "starsAtCapture": 772, "summary": { "en": "An evidence-backed playbook of JEV use cases, patterns, prompts, and starter code.", "zh": "有证据支撑的 JEV 用例、模式、提示词与起步代码手册。", @@ -1128,7 +1492,7 @@ }, "language": "Python", "license": "MIT", - "starsAtCapture": 693, + "starsAtCapture": 765, "summary": { "en": "Builds candidate actions from OCR and UI state for Jev to control macOS, calling a text model only when writing is needed.", "zh": "用 OCR 和界面状态构造候选动作，让 Jev 决定如何操作 macOS，需要写文字时再调用文本模型。", @@ -1142,6 +1506,64 @@ "verification": "source-reviewed", "runtimeVerified": false }, + { + "id": "localjev", + "name": "LocalJev", + "owner": "githubnext", + "category": "open-models", + "repoUrl": "https://github.com/githubnext/localjev", + "evidenceUrl": "https://github.com/githubnext/localjev/blob/3f23e36e1a3bff46c7e83e8e3781d3512bc82021/README.md", + "language": "TypeScript", + "license": "MIT", + "starsAtCapture": 704, + "summary": { + "en": "A local Jev-compatible server with benchmarks across small local models.", + "zh": "基于多种本地小模型、提供 JEV 兼容接口与评测的本地服务。", + "ja": "小規模なローカル モデルにわたるベンチマークを備えたローカル JEV 互換サーバー。" + }, + "decision": { + "en": "Keeps the Jev request shape while swapping the hosted model for a local classifier.", + "zh": "保留 JEV 请求形态，把托管模型替换为本地分类器。", + "ja": "ホストされたモデルをローカル分類子に交換する間、JEV リクエストの形状を維持します。" + }, + "verification": "source-reviewed", + "runtimeVerified": false, + "source": { + "type": "x", + "label": "Original X case", + "url": "https://x.com/GitHubNext/status/2101193436816920798", + "author": "@GitHubNext", + "views": 191104 + } + }, + { + "id": "distill-jev-runtime", + "name": "Distill · JEV Runtime", + "owner": "samuelfaj", + "category": "agent-workflows", + "starsAtCapture": 683, + "language": "Rust", + "license": "Apache-2.0", + "summary": { + "en": "A coding-agent runtime with JEV lanes for routing, compaction, memory, and tool-result handling.", + "zh": "编码 Agent Runtime 使用 JEV 分支处理路由、压缩、记忆与工具结果。", + "ja": "コーディング Agent Runtime が JEV レーンでルーティング・圧縮・記憶・ツール結果を処理。" + }, + "decision": { + "en": "Chooses among bounded runtime policies before local code performs context and tool operations.", + "zh": "在本地代码执行上下文与工具操作前，从有限 Runtime 策略中做选择。", + "ja": "ローカルコードが文脈・ツール操作を行う前に、限定された Runtime 方針から選択します。" + }, + "repoUrl": "https://github.com/samuelfaj/distill", + "evidenceUrl": "https://github.com/samuelfaj/distill/blob/d5f031153cb817f023138a9a0b3fce5516f727c4/crates/codegen/distill-shell/src/jev.rs", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/samuelfaj/distill/blob/d5f031153cb817f023138a9a0b3fce5516f727c4/crates/codegen/distill-shell/src/jev.rs" + }, + "verification": "source-reviewed", + "runtimeVerified": false + }, { "id": "uezo:aiavatarkit", "name": "Aiavatarkit", @@ -1184,7 +1606,7 @@ }, "language": "TypeScript", "license": "FSL-1.1-ALv2", - "starsAtCapture": 659, + "starsAtCapture": 663, "summary": { "en": "Optional second-stage search: widen the hybrid pool, then Score-rerank candidates with Workers AI typesafe/jev.", "zh": "可选的二段检索：先扩大混合召回，再用 Cloudflare Workers AI 上的 `typesafe/jev` Score 重排。", @@ -1198,36 +1620,6 @@ "verification": "source-reviewed", "runtimeVerified": false }, - { - "id": "localjev", - "name": "LocalJev", - "owner": "githubnext", - "category": "open-models", - "repoUrl": "https://github.com/githubnext/localjev", - "evidenceUrl": "https://github.com/githubnext/localjev/blob/3f23e36e1a3bff46c7e83e8e3781d3512bc82021/README.md", - "language": "TypeScript", - "license": "MIT", - "starsAtCapture": 657, - "summary": { - "en": "A local Jev-compatible server with benchmarks across small local models.", - "zh": "基于多种本地小模型、提供 JEV 兼容接口与评测的本地服务。", - "ja": "小規模なローカル モデルにわたるベンチマークを備えたローカル JEV 互換サーバー。" - }, - "decision": { - "en": "Keeps the Jev request shape while swapping the hosted model for a local classifier.", - "zh": "保留 JEV 请求形态，把托管模型替换为本地分类器。", - "ja": "ホストされたモデルをローカル分類子に交換する間、JEV リクエストの形状を維持します。" - }, - "verification": "source-reviewed", - "runtimeVerified": false, - "source": { - "type": "x", - "label": "Original X case", - "url": "https://x.com/GitHubNext/status/2101193436816920798", - "author": "@GitHubNext", - "views": 191104 - } - }, { "id": "tiptour-macos", "name": "TipTour macOS", @@ -1237,7 +1629,7 @@ "evidenceUrl": "https://github.com/milind-soni/tiptour-macos/blob/52582467c883d66484542f3be8e259340eb524f1/README.md", "language": "Swift", "license": "Not declared", - "starsAtCapture": 627, + "starsAtCapture": 642, "summary": { "en": "A local macOS computer-use companion driven by Jev or Gemini Live.", "zh": "由 JEV 或 Gemini Live 驱动的本地 macOS 电脑操作伴侣。", @@ -1258,34 +1650,6 @@ "views": 54827 } }, - { - "id": "agentiloop:agent", - "name": "Agent", - "owner": "AgentiLoop", - "category": "safety-review", - "repoUrl": "https://github.com/AgentiLoop/Agent", - "evidenceUrl": "https://github.com/AgentiLoop/Agent/blob/078f87ceca1d1190cc73706ac8ec16442e766a27/README.md", - "source": { - "type": "github", - "label": "GitHub source", - "url": "https://github.com/AgentiLoop/Agent/blob/078f87ceca1d1190cc73706ac8ec16442e766a27/README.md" - }, - "language": "Swift", - "license": "MIT", - "starsAtCapture": 618, - "summary": { - "en": "An optional Jev command-risk advisor inside a native macOS Agent, with a TypeSafeKit client.", - "zh": "原生 macOS Agent 内的可选 Jev 命令风险顾问，配有 TypeSafeKit 客户端。", - "ja": "TypeSafeKit クライアントを使用した、ネイティブ macOS エージェント内のオプションの JEV コマンド リスク アドバイザ。" - }, - "decision": { - "en": "Adds a destructive-risk judgment after local shell checks and refuses commands above the configured threshold.", - "zh": "对已通过本地规则的 Shell 命令追加破坏性判断，达到配置阈值时拒绝。", - "ja": "ローカル シェルのチェック後に破壊的リスクの判定を追加し、設定されたしきい値を超えるコマンドを拒否します。" - }, - "verification": "source-reviewed", - "runtimeVerified": false - }, { "id": "v-modal-awesome-jev-tools", "name": "Awesome JEV Tools", @@ -1300,7 +1664,7 @@ }, "language": "", "license": "Unknown", - "starsAtCapture": 599, + "starsAtCapture": 628, "summary": { "en": "A curated directory focused on tools built for JEV and TypeSafe System One.", "zh": "聚焦 JEV 与 TypeSafe System One 工具的精选目录。", @@ -1314,6 +1678,34 @@ "verification": "source-reviewed", "runtimeVerified": false }, + { + "id": "agentiloop:agent", + "name": "Agent", + "owner": "AgentiLoop", + "category": "safety-review", + "repoUrl": "https://github.com/AgentiLoop/Agent", + "evidenceUrl": "https://github.com/AgentiLoop/Agent/blob/078f87ceca1d1190cc73706ac8ec16442e766a27/README.md", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/AgentiLoop/Agent/blob/078f87ceca1d1190cc73706ac8ec16442e766a27/README.md" + }, + "language": "Swift", + "license": "MIT", + "starsAtCapture": 622, + "summary": { + "en": "An optional Jev command-risk advisor inside a native macOS Agent, with a TypeSafeKit client.", + "zh": "原生 macOS Agent 内的可选 Jev 命令风险顾问，配有 TypeSafeKit 客户端。", + "ja": "TypeSafeKit クライアントを使用した、ネイティブ macOS エージェント内のオプションの JEV コマンド リスク アドバイザ。" + }, + "decision": { + "en": "Adds a destructive-risk judgment after local shell checks and refuses commands above the configured threshold.", + "zh": "对已通过本地规则的 Shell 命令追加破坏性判断，达到配置阈值时拒绝。", + "ja": "ローカル シェルのチェック後に破壊的リスクの判定を追加し、設定されたしきい値を超えるコマンドを拒否します。" + }, + "verification": "source-reviewed", + "runtimeVerified": false + }, { "id": "agentjido:req_llm", "name": "Req LLM", @@ -1328,7 +1720,7 @@ }, "language": "Elixir", "license": "Apache-2.0", - "starsAtCapture": 580, + "starsAtCapture": 581, "summary": { "en": "A TypeSafe provider for calling Jev through ReqLLM’s evaluate interface in Elixir.", "zh": "ReqLLM 的 TypeSafe provider，让 Elixir 应用通过 evaluate 接口调用 Jev。", @@ -1343,29 +1735,29 @@ "runtimeVerified": false }, { - "id": "bennykok:omg-dev", - "name": "Omg.dev", - "owner": "BennyKok", - "category": "browser-computer-use", - "repoUrl": "https://github.com/BennyKok/omg.dev", - "evidenceUrl": "https://github.com/BennyKok/omg.dev/blob/a00f56684a569ee417be787c148eaa9874946f2b/mobile/scripts/jev.ts", - "source": { + "id": "splash", + "name": "Splash", + "owner": "incoai", + "category": "open-models", + "repoUrl": "https://github.com/incoai/splash", + "evidenceUrl": "https://github.com/incoai/splash/blob/f53d5ab543a7accdc332c060fd594a693f33f529/README.md", + "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/BennyKok/omg.dev/blob/a00f56684a569ee417be787c148eaa9874946f2b/mobile/scripts/jev.ts" + "url": "https://github.com/incoai/splash/blob/f53d5ab543a7accdc332c060fd594a693f33f529/README.md" }, - "language": "TypeScript", - "license": "MIT", - "starsAtCapture": 533, + "language": "Python", + "license": "Apache-2.0", + "starsAtCapture": 578, "summary": { - "en": "An omg.dev mobile testing script can use Jev to read the accessibility tree and choose the next interaction.", - "zh": "omg.dev 的移动端测试脚本可让 Jev 读取可访问性树并选择下一步交互。", - "ja": "omg.dev モバイル テスト スクリプトは、JEV を使用してアクセシビリティ ツリーを読み取り、次のインタラクションを選択できます。" + "en": "A local Apple Silicon inference engine oriented around decision-style models.", + "zh": "面向决策类模型的本地 Apple Silicon 推理引擎。", + "ja": "意思決定系モデル向けの Apple Silicon ローカル推論エンジン。" }, "decision": { - "en": "Chooses controls and checks completion or blockage before the test runner operates the UI.", - "zh": "判断要操作的控件、步骤是否完成或是否受阻，再由测试执行器操作界面。", - "ja": "テスト ランナーが UI を操作する前に、コントロールを選択し、完了または障害をチェックします。" + "en": "Runs local inference so apps can obtain typed judgments without a remote JEV hop.", + "zh": "在本地完成推理，让应用无需远程 JEV 也能拿到类型化判断。", + "ja": "ローカル推論で型付き判断を返し、遠隔 JEV なしでも使えるようにします。" }, "verification": "source-reviewed", "runtimeVerified": false @@ -1384,7 +1776,7 @@ }, "language": "JavaScript", "license": "Not declared", - "starsAtCapture": 519, + "starsAtCapture": 549, "summary": { "en": "Computer-use helpers that call JEV to decide the next UI action.", "zh": "用 JEV 决定下一步界面动作的 Computer Use 辅助工具。", @@ -1399,57 +1791,29 @@ "runtimeVerified": false }, { - "id": "splash", - "name": "Splash", - "owner": "incoai", - "category": "open-models", - "repoUrl": "https://github.com/incoai/splash", - "evidenceUrl": "https://github.com/incoai/splash/blob/f53d5ab543a7accdc332c060fd594a693f33f529/README.md", - "source": { - "type": "github", - "label": "GitHub source", - "url": "https://github.com/incoai/splash/blob/f53d5ab543a7accdc332c060fd594a693f33f529/README.md" - }, - "language": "Python", - "license": "Apache-2.0", - "starsAtCapture": 506, - "summary": { - "en": "A local Apple Silicon inference engine oriented around decision-style models.", - "zh": "面向决策类模型的本地 Apple Silicon 推理引擎。", - "ja": "意思決定系モデル向けの Apple Silicon ローカル推論エンジン。" - }, - "decision": { - "en": "Runs local inference so apps can obtain typed judgments without a remote JEV hop.", - "zh": "在本地完成推理，让应用无需远程 JEV 也能拿到类型化判断。", - "ja": "ローカル推論で型付き判断を返し、遠隔 JEV なしでも使えるようにします。" - }, - "verification": "source-reviewed", - "runtimeVerified": false - }, - { - "id": "thruwire:foreman", - "name": "Foreman", - "owner": "thruwire", - "category": "developer-tools", - "repoUrl": "https://github.com/thruwire/foreman", - "evidenceUrl": "https://github.com/thruwire/foreman/blob/209182dac7a3467033fd093ab4ca47d21279984a/src/foreman/foreman/jev.py", + "id": "bennykok:omg-dev", + "name": "Omg.dev", + "owner": "BennyKok", + "category": "browser-computer-use", + "repoUrl": "https://github.com/BennyKok/omg.dev", + "evidenceUrl": "https://github.com/BennyKok/omg.dev/blob/a00f56684a569ee417be787c148eaa9874946f2b/mobile/scripts/jev.ts", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/thruwire/foreman/blob/209182dac7a3467033fd093ab4ca47d21279984a/src/foreman/foreman/jev.py" + "url": "https://github.com/BennyKok/omg.dev/blob/a00f56684a569ee417be787c148eaa9874946f2b/mobile/scripts/jev.ts" }, - "language": "Python", + "language": "TypeScript", "license": "MIT", - "starsAtCapture": 446, + "starsAtCapture": 535, "summary": { - "en": "An independent supervisor loop that reads worker diffs, logs and tests, asks Jev Nouls about stuck / off-track / verify, then applies a Python policy.", - "zh": "独立监督环读取编码工人的 diff、日志和测试，用 Jev Noul 判断卡住、跑偏、该验证，再由 Python 策略干预。", - "ja": "ワーカーの差分、ログ、テストを読み取り、スタック/オフトラック/検証について JEV Nouls に質問し、Python ポリシーを適用する独立したスーパーバイザー ループ。" + "en": "An omg.dev mobile testing script can use Jev to read the accessibility tree and choose the next interaction.", + "zh": "omg.dev 的移动端测试脚本可让 Jev 读取可访问性树并选择下一步交互。", + "ja": "omg.dev モバイル テスト スクリプトは、JEV を使用してアクセシビリティ ツリーを読み取り、次のインタラクションを選択できます。" }, "decision": { - "en": "AsyncTypeSafeClient.system_one with default jev-latest sends Noul questions for supervision.", - "zh": "`AsyncTypeSafeClient.system_one`，默认 `jev-latest`，对监督问题发 Noul。", - "ja": "デフォルトの jev-latest を使用する AsyncTypeSafeClient.system_one は、監視のために Noul の質問を送信します。" + "en": "Chooses controls and checks completion or blockage before the test runner operates the UI.", + "zh": "判断要操作的控件、步骤是否完成或是否受阻，再由测试执行器操作界面。", + "ja": "テスト ランナーが UI を操作する前に、コントロールを選択し、完了または障害をチェックします。" }, "verification": "source-reviewed", "runtimeVerified": false @@ -1468,7 +1832,7 @@ }, "language": "TypeScript", "license": "MIT", - "starsAtCapture": 438, + "starsAtCapture": 502, "summary": { "en": "Reviews a Git diff or a codebase in stages and displays review leads in a local dashboard.", "zh": "分阶段检查 Git diff 或整个代码库，在本地面板里展示可复核的审查线索。", @@ -1482,6 +1846,62 @@ "verification": "source-reviewed", "runtimeVerified": false }, + { + "id": "minecraft-agent-jev", + "name": "Astra + JEV Minecraft Agent", + "owner": "rmalde", + "category": "domain-tools", + "repoUrl": "https://github.com/rmalde/minecraft-agent", + "evidenceUrl": "https://github.com/rmalde/minecraft-agent/blob/78b40ed59514e5e2abde33a05ce398ecb2c39e05/models.mjs", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/rmalde/minecraft-agent/blob/78b40ed59514e5e2abde33a05ce398ecb2c39e05/models.mjs" + }, + "language": "JavaScript", + "license": "Unknown", + "starsAtCapture": 485, + "summary": { + "en": "A Minecraft agent where a planner sets objectives and JEV selects legal game actions.", + "zh": "由规划模型设定目标、JEV 选择合法游戏动作的 Minecraft Agent。", + "ja": "プランナーが目標を定め、JEV が合法なゲーム操作を選ぶ Minecraft Agent。" + }, + "decision": { + "en": "Chooses one available action from observed game state and planner objectives.", + "zh": "根据游戏状态与规划目标，从可用动作中选择一个。", + "ja": "ゲーム状態と計画目標から利用可能な操作を 1 つ選びます。" + }, + "verification": "source-reviewed", + "runtimeVerified": false + }, + { + "id": "thruwire:foreman", + "name": "Foreman", + "owner": "thruwire", + "category": "developer-tools", + "repoUrl": "https://github.com/thruwire/foreman", + "evidenceUrl": "https://github.com/thruwire/foreman/blob/209182dac7a3467033fd093ab4ca47d21279984a/src/foreman/foreman/jev.py", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/thruwire/foreman/blob/209182dac7a3467033fd093ab4ca47d21279984a/src/foreman/foreman/jev.py" + }, + "language": "Python", + "license": "MIT", + "starsAtCapture": 472, + "summary": { + "en": "An independent supervisor loop that reads worker diffs, logs and tests, asks Jev Nouls about stuck / off-track / verify, then applies a Python policy.", + "zh": "独立监督环读取编码工人的 diff、日志和测试，用 Jev Noul 判断卡住、跑偏、该验证，再由 Python 策略干预。", + "ja": "ワーカーの差分、ログ、テストを読み取り、スタック/オフトラック/検証について JEV Nouls に質問し、Python ポリシーを適用する独立したスーパーバイザー ループ。" + }, + "decision": { + "en": "AsyncTypeSafeClient.system_one with default jev-latest sends Noul questions for supervision.", + "zh": "`AsyncTypeSafeClient.system_one`，默认 `jev-latest`，对监督问题发 Noul。", + "ja": "デフォルトの jev-latest を使用する AsyncTypeSafeClient.system_one は、監視のために Noul の質問を送信します。" + }, + "verification": "source-reviewed", + "runtimeVerified": false + }, { "id": "featherless-ai:simple-jev", "name": "Simple JEV", @@ -1496,7 +1916,7 @@ }, "language": "Python", "license": "Unknown", - "starsAtCapture": 428, + "starsAtCapture": 458, "summary": { "en": "Adapter turning open LLM endpoints into Jev-compatible classification services without training a separate classifier head.", "zh": "将任意开源大语言模型转化为分类器与 Jev 兼容端点的适配服务，无需额外训练专用分类头。", @@ -1510,6 +1930,62 @@ "verification": "source-reviewed", "runtimeVerified": false }, + { + "id": "awesome-typesafe", + "name": "Awesome TypeSafe", + "owner": "AbdelStark", + "category": "developer-tools", + "repoUrl": "https://github.com/AbdelStark/awesome-typesafe", + "evidenceUrl": "https://github.com/AbdelStark/awesome-typesafe/blob/d44dc0a1e26d41bc7f543d39b4b62ae5cb9f13c8/README.md", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/AbdelStark/awesome-typesafe/blob/d44dc0a1e26d41bc7f543d39b4b62ae5cb9f13c8/README.md" + }, + "language": "CSS", + "license": "MIT", + "starsAtCapture": 431, + "summary": { + "en": "A curated list of official and community resources for TypeSafe, System One, and JEV.", + "zh": "TypeSafe、System One 与 JEV 的官方与社区资源精选列表。", + "ja": "TypeSafe・System One・JEV の公式／コミュニティ資源をまとめたキュレーション一覧。" + }, + "decision": { + "en": "Surfaces which projects and docs are worth opening when building with System One.", + "zh": "帮你判断做 System One 时该先打开哪些项目与文档。", + "ja": "System One 開発時に開くべきプロジェクト／ドキュメントを示します。" + }, + "verification": "source-reviewed", + "runtimeVerified": false + }, + { + "id": "abdelstark-awesome-typesafe-jev", + "name": "Awesome TypeSafe JEV", + "owner": "AbdelStark", + "category": "developer-tools", + "starsAtCapture": 431, + "language": "HTML", + "license": "MIT", + "summary": { + "en": "A source-backed field guide to TypeSafe JEV projects, SDKs, demos, and evaluations.", + "zh": "带源码依据的 TypeSafe JEV 项目、SDK、演示与评测指南。", + "ja": "TypeSafe JEV のプロジェクト・SDK・デモ・評価を根拠付きでまとめたガイド。" + }, + "decision": { + "en": "Organizes ecosystem resources by how they implement or apply typed, confidence-aware decisions.", + "zh": "按类型化、置信度感知决策的实现与应用方式组织生态资源。", + "ja": "型付き・信頼度付き判断の実装方法と用途別にエコシステム資料を整理します。" + }, + "repoUrl": "https://github.com/AbdelStark/awesome-typesafe-jev", + "evidenceUrl": "https://github.com/AbdelStark/awesome-typesafe-jev/blob/9384099af36cd439b7f0bd4311560ac02eeabe7c/README.md", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/AbdelStark/awesome-typesafe-jev/blob/9384099af36cd439b7f0bd4311560ac02eeabe7c/README.md" + }, + "verification": "source-reviewed", + "runtimeVerified": false + }, { "id": "notque:vexjoy-agent", "name": "Vexjoy Agent", @@ -1524,7 +2000,7 @@ }, "language": "Python", "license": "MIT", - "starsAtCapture": 421, + "starsAtCapture": 423, "summary": { "en": "An optional Jev routing path that matches VexJoy requests to specialist Agents, skills and workflows.", "zh": "给 VexJoy 的任务分派增加一条 Jev 路线。输入需求后，判断该选哪位专长 Agent、哪项技能和哪条工作流。", @@ -1566,34 +2042,6 @@ "verification": "source-reviewed", "runtimeVerified": false }, - { - "id": "awesome-typesafe", - "name": "Awesome TypeSafe", - "owner": "AbdelStark", - "category": "developer-tools", - "repoUrl": "https://github.com/AbdelStark/awesome-typesafe", - "evidenceUrl": "https://github.com/AbdelStark/awesome-typesafe/blob/d44dc0a1e26d41bc7f543d39b4b62ae5cb9f13c8/README.md", - "source": { - "type": "github", - "label": "GitHub source", - "url": "https://github.com/AbdelStark/awesome-typesafe/blob/d44dc0a1e26d41bc7f543d39b4b62ae5cb9f13c8/README.md" - }, - "language": "CSS", - "license": "MIT", - "starsAtCapture": 414, - "summary": { - "en": "A curated list of official and community resources for TypeSafe, System One, and JEV.", - "zh": "TypeSafe、System One 与 JEV 的官方与社区资源精选列表。", - "ja": "TypeSafe・System One・JEV の公式／コミュニティ資源をまとめたキュレーション一覧。" - }, - "decision": { - "en": "Surfaces which projects and docs are worth opening when building with System One.", - "zh": "帮你判断做 System One 时该先打开哪些项目与文档。", - "ja": "System One 開発時に開くべきプロジェクト／ドキュメントを示します。" - }, - "verification": "source-reviewed", - "runtimeVerified": false - }, { "id": "classifier-dev", "name": "Classifier.dev", @@ -1608,7 +2056,7 @@ }, "language": "TypeScript", "license": "MIT", - "starsAtCapture": 396, + "starsAtCapture": 406, "summary": { "en": "A zero-shot classification service with JEV as its primary typed-decision backend.", "zh": "以 JEV 为主要类型化决策后端的零样本分类服务。", @@ -1623,78 +2071,48 @@ "runtimeVerified": false }, { - "id": "minecraft-agent-jev", - "name": "Astra + JEV Minecraft Agent", - "owner": "rmalde", - "category": "domain-tools", - "repoUrl": "https://github.com/rmalde/minecraft-agent", - "evidenceUrl": "https://github.com/rmalde/minecraft-agent/blob/78b40ed59514e5e2abde33a05ce398ecb2c39e05/models.mjs", + "id": "hermes-jev-skills", + "name": "Hermes JEV Skills", + "owner": "kerpopule", + "category": "routing-optimization", + "repoUrl": "https://github.com/kerpopule/hermes-jev-skills", + "evidenceUrl": "https://github.com/kerpopule/hermes-jev-skills/blob/a5d89014fbeca5102c5e7ccd3915afcd856505d8/jevkit/choose.py", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/rmalde/minecraft-agent/blob/78b40ed59514e5e2abde33a05ce398ecb2c39e05/models.mjs" + "url": "https://github.com/kerpopule/hermes-jev-skills/blob/a5d89014fbeca5102c5e7ccd3915afcd856505d8/jevkit/choose.py" }, - "language": "JavaScript", - "license": "Unknown", - "starsAtCapture": 395, + "language": "Python", + "license": "MIT", + "starsAtCapture": 401, "summary": { - "en": "A Minecraft agent where a planner sets objectives and JEV selects legal game actions.", - "zh": "由规划模型设定目标、JEV 选择合法游戏动作的 Minecraft Agent。", - "ja": "プランナーが目標を定め、JEV が合法なゲーム操作を選ぶ Minecraft Agent。" + "en": "JEV-powered routing, memory, compaction, skill selection, and computer/browser use for Hermes agents.", + "zh": "为 Hermes Agent 提供 JEV 驱动的路由、记忆、压缩、Skill 选择与电脑/浏览器操作。", + "ja": "Hermes エージェント向けに、JEV 駆動のルーティング・記憶・圧縮・Skill 選択・PC/ブラウザ操作。" }, "decision": { - "en": "Chooses one available action from observed game state and planner objectives.", - "zh": "根据游戏状态与规划目标，从可用动作中选择一个。", - "ja": "ゲーム状態と計画目標から利用可能な操作を 1 つ選びます。" + "en": "Chooses models, skills, or next computer actions from bounded JEV questions.", + "zh": "用有限 JEV 问题选择模型、Skill 或下一步电脑动作。", + "ja": "有限の JEV 質問でモデル・Skill・次の PC 操作を選びます。" }, "verification": "source-reviewed", "runtimeVerified": false }, { - "id": "jev-experiments", - "name": "Jev Experiments", - "owner": "dabit3", + "id": "superagents-lab:jev-search", + "name": "JEV Search", + "owner": "superagents-lab", "category": "search-data", - "repoUrl": "https://github.com/dabit3/jev-experiments", - "evidenceUrl": "https://github.com/dabit3/jev-experiments/tree/c469e5bfdc73eb3e1999bba2569e66b579a970fd/agent-assist", - "language": "TypeScript", - "license": "Not declared", - "starsAtCapture": 352, - "summary": { - "en": "Small Jev experiments including intent search and agent-assist flows.", - "zh": "包含意图搜索与 Agent Assist 流程的一组 JEV 实验。", - "ja": "インテント検索やエージェント支援フローを含む小規模な JEV 実験。" - }, - "decision": { - "en": "Uses fast intent judgments after retrieval instead of asking a large model to inspect everything.", - "zh": "在初步召回后快速判断意图，避免让大模型通读全部内容。", - "ja": "大規模なモデルにすべてを検査させる代わりに、取得後に迅速な意図判断を使用します。" - }, - "verification": "source-reviewed", - "runtimeVerified": false, - "source": { - "type": "x", - "label": "Original X case", - "url": "https://x.com/dabit3/status/2100960281769738433", - "author": "@dabit3", - "views": 131659 - } - }, - { - "id": "superagents-lab:jev-search", - "name": "JEV Search", - "owner": "superagents-lab", - "category": "search-data", - "repoUrl": "https://github.com/superagents-lab/jev-search", - "evidenceUrl": "https://github.com/superagents-lab/jev-search/blob/522868762f0637b20bf533f136e930cceb83b9f3/src/lib/typesafe.ts#L48", - "source": { - "type": "github", - "label": "GitHub source", - "url": "https://github.com/superagents-lab/jev-search/blob/522868762f0637b20bf533f136e930cceb83b9f3/src/lib/typesafe.ts#L48" + "repoUrl": "https://github.com/superagents-lab/jev-search", + "evidenceUrl": "https://github.com/superagents-lab/jev-search/blob/522868762f0637b20bf533f136e930cceb83b9f3/src/lib/typesafe.ts#L48", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/superagents-lab/jev-search/blob/522868762f0637b20bf533f136e930cceb83b9f3/src/lib/typesafe.ts#L48" }, "language": "", "license": "MIT", - "starsAtCapture": 352, + "starsAtCapture": 385, "summary": { "en": "Searches the web with Jev choosing sources and time ranges, then ranking returned links.", "zh": "用自然语言搜网页：Jev 选择搜索来源和时间范围，再给返回的链接排序。", @@ -1709,88 +2127,62 @@ "runtimeVerified": false }, { - "id": "hermes-jev-skills", - "name": "Hermes JEV Skills", - "owner": "kerpopule", - "category": "routing-optimization", - "repoUrl": "https://github.com/kerpopule/hermes-jev-skills", - "evidenceUrl": "https://github.com/kerpopule/hermes-jev-skills/blob/a5d89014fbeca5102c5e7ccd3915afcd856505d8/jevkit/choose.py", + "id": "von-open-system-one", + "name": "Von", + "owner": "wfzyx", + "category": "open-models", + "repoUrl": "https://github.com/wfzyx/von", + "evidenceUrl": "https://github.com/wfzyx/von/blob/14d09878e89b103bfbbe641f9bed02e4d72c8830/README.md", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/kerpopule/hermes-jev-skills/blob/a5d89014fbeca5102c5e7ccd3915afcd856505d8/jevkit/choose.py" + "url": "https://github.com/wfzyx/von/blob/14d09878e89b103bfbbe641f9bed02e4d72c8830/README.md" }, "language": "Python", - "license": "MIT", - "starsAtCapture": 335, + "license": "Apache-2.0", + "starsAtCapture": 374, "summary": { - "en": "JEV-powered routing, memory, compaction, skill selection, and computer/browser use for Hermes agents.", - "zh": "为 Hermes Agent 提供 JEV 驱动的路由、记忆、压缩、Skill 选择与电脑/浏览器操作。", - "ja": "Hermes エージェント向けに、JEV 駆動のルーティング・記憶・圧縮・Skill 選択・PC/ブラウザ操作。" + "en": "An open, local System One decision model with a JEV-compatible interface.", + "zh": "提供 JEV 兼容接口的本地开放 System One 决策模型。", + "ja": "JEV 互換インターフェースを持つローカルのオープン System One 判断モデル。" }, "decision": { - "en": "Chooses models, skills, or next computer actions from bounded JEV questions.", - "zh": "用有限 JEV 问题选择模型、Skill 或下一步电脑动作。", - "ja": "有限の JEV 質問でモデル・Skill・次の PC 操作を選びます。" + "en": "Scores bounded typed choices locally without autoregressive text generation.", + "zh": "在本地为有限类型化选项评分，不做自回归文本生成。", + "ja": "自己回帰テキスト生成を行わず、限定された型付き候補をローカルで評価します。" }, "verification": "source-reviewed", "runtimeVerified": false }, { - "id": "wrongstack:wrongstack", - "name": "WrongStack", - "owner": "WrongStack", - "category": "routing-optimization", - "repoUrl": "https://github.com/WrongStack/WrongStack", - "evidenceUrl": "https://github.com/WrongStack/WrongStack/blob/4cf97c0aa4f855751949ee8e99c719d06f4c26e0/README.md", - "source": { - "type": "github", - "label": "GitHub source", - "url": "https://github.com/WrongStack/WrongStack/blob/4cf97c0aa4f855751949ee8e99c719d06f4c26e0/README.md" - }, + "id": "jev-experiments", + "name": "Jev Experiments", + "owner": "dabit3", + "category": "search-data", + "repoUrl": "https://github.com/dabit3/jev-experiments", + "evidenceUrl": "https://github.com/dabit3/jev-experiments/tree/c469e5bfdc73eb3e1999bba2569e66b579a970fd/agent-assist", "language": "TypeScript", - "license": "MIT", - "starsAtCapture": 329, + "license": "Not declared", + "starsAtCapture": 358, "summary": { - "en": "An optional Jev dispatch classifier for choosing among WrongStack specialist Agents.", - "zh": "给 WrongStack 编程 Agent 增加一个可选分派助手。遇到多个相近的专长 Agent 时，用 Jev 判断谁更适合当前任务。", - "ja": "WrongStack の専門 Agent から担当を選ぶための、任意で使える JEV ディスパッチ分類器。" + "en": "Small Jev experiments including intent search and agent-assist flows.", + "zh": "包含意图搜索与 Agent Assist 流程的一组 JEV 实验。", + "ja": "インテント検索やエージェント支援フローを含む小規模な JEV 実験。" }, "decision": { - "en": "Jev evaluates the task against eligible specialists; local dispatch rules use the result.", - "zh": "从候选角色中选一个，同时判断有没有任何候选真正适合；不合适时交回原有策略。", - "ja": "JEV は、適格なスペシャリストと照らし合わせてタスクを評価します。ローカルディスパッチルールは結果を使用します。" + "en": "Uses fast intent judgments after retrieval instead of asking a large model to inspect everything.", + "zh": "在初步召回后快速判断意图，避免让大模型通读全部内容。", + "ja": "大規模なモデルにすべてを検査させる代わりに、取得後に迅速な意図判断を使用します。" }, "verification": "source-reviewed", - "runtimeVerified": false - }, - { - "id": "cognesy:instructor-php", - "name": "Instructor Php", - "owner": "cognesy", - "category": "sdk-integrations", - "repoUrl": "https://github.com/cognesy/instructor-php", - "evidenceUrl": "https://github.com/cognesy/instructor-php/blob/bb1160ce2360dcf1434788c46ee97809fe782ea3/README.md", + "runtimeVerified": false, "source": { - "type": "github", - "label": "GitHub source", - "url": "https://github.com/cognesy/instructor-php/blob/bb1160ce2360dcf1434788c46ee97809fe782ea3/README.md" - }, - "language": "PHP", - "license": "MIT", - "starsAtCapture": 327, - "summary": { - "en": "A TypeSafe Decision driver within Instructor PHP’s Polyglot module.", - "zh": "Instructor PHP 的 Polyglot 模块内置 TypeSafe Decision 驱动。", - "ja": "Instructor PHP の Polyglot モジュール内の TypeSafe Decision ドライバー。" - }, - "decision": { - "en": "Converts application state and typed questions into Jev requests and maps responses to PHP decision objects.", - "zh": "将业务状态和类型化问题转换为 Jev 请求，再映射为 PHP 决策响应。", - "ja": "アプリケーション状態と型付き質問を JEV リクエストへ変換し、レスポンスを PHP の意思決定オブジェクトへ割り当てます。" - }, - "verification": "source-reviewed", - "runtimeVerified": false + "type": "x", + "label": "Original X case", + "url": "https://x.com/dabit3/status/2100960281769738433", + "author": "@dabit3", + "views": 131659 + } }, { "id": "tax-doc-classifier", @@ -1801,7 +2193,7 @@ "evidenceUrl": "https://github.com/kyotofin/tax-doc-classifier/blob/6afcf701395466d7c936ec8178daf017b9d96b0c/src/backend.ts", "language": "TypeScript", "license": "Apache-2.0", - "starsAtCapture": 314, + "starsAtCapture": 348, "summary": { "en": "Classifies extracted tax-document pages against a fixed IRS form catalogue.", "zh": "把税务文档页面归入预先定义的 IRS 表格目录。", @@ -1836,7 +2228,7 @@ }, "language": "Python", "license": "Unknown", - "starsAtCapture": 314, + "starsAtCapture": 338, "summary": { "en": "An experimental NES Mario controller that gives Jev structured emulator RAM and telemetry instead of screenshots.", "zh": "从 NES 模拟器 RAM 和状态数据中提取环境，让 Jev 选择超级马力欧的手柄按键。", @@ -1850,6 +2242,90 @@ "verification": "source-reviewed", "runtimeVerified": false }, + { + "id": "logicrw-awesome-jev-projects", + "name": "Awesome JEV Projects", + "owner": "logicrw", + "category": "developer-tools", + "repoUrl": "https://github.com/logicrw/awesome-jev-projects", + "evidenceUrl": "https://github.com/logicrw/awesome-jev-projects/blob/d1b1b8d6c68c1754425778606d20d2cb14b09895/SKILL.md", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/logicrw/awesome-jev-projects/blob/d1b1b8d6c68c1754425778606d20d2cb14b09895/SKILL.md" + }, + "language": "JavaScript", + "license": "MIT", + "starsAtCapture": 334, + "summary": { + "en": "A source-backed JEV ecosystem radar with plain-language discovery and GitHub sync.", + "zh": "有源码依据的 JEV 生态雷达，含白话发现页与 GitHub 同步。", + "ja": "根拠付き JEV エコシステムレーダー。平易な発見 UI と GitHub 同期付き。" + }, + "decision": { + "en": "Curates which open-source JEV integrations are worth browsing by decision pattern.", + "zh": "按决策模式整理值得浏览的开源 JEV 集成。", + "ja": "意思決定パターン別に、見る価値のある OSS JEV 統合を整理します。" + }, + "verification": "source-reviewed", + "runtimeVerified": false + }, + { + "id": "wy-coliney:jev-browser-use", + "name": "JEV Browser Use", + "owner": "wy-coliney", + "category": "browser-computer-use", + "repoUrl": "https://github.com/wy-coliney/jev-browser-use", + "evidenceUrl": "https://github.com/wy-coliney/jev-browser-use/blob/f14b60e0ae1ee90cd73eb6650e30a666a84c021a/skills/jev-browser-use/bridge.mjs", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/wy-coliney/jev-browser-use/blob/f14b60e0ae1ee90cd73eb6650e30a666a84c021a/skills/jev-browser-use/bridge.mjs" + }, + "language": "JavaScript", + "license": "MIT", + "starsAtCapture": 334, + "summary": { + "en": "A Skill for Codex browser workflows: Jev chooses navigation, clicks, and scrolling while Codex handles text input and final checks.", + "zh": "给 Codex 浏览器工作流加一个 Skill：Jev 选导航、点击和滚动，Codex 保留文字输入与最终核验。", + "ja": "Codex ブラウザ ワークフローのスキル: JEV はナビゲーション、クリック、スクロールを選択し、Codex はテキスト入力と最終チェックを処理します。" + }, + "decision": { + "en": "Sends page state and permitted candidates to Jev; the existing browser connection executes the actions.", + "zh": "将页面状态与可执行候选交给 Jev，现有浏览器连接负责执行动作。", + "ja": "ページの状態と許可された候補を JEV に送信します。既存のブラウザ接続によってアクションが実行されます。" + }, + "verification": "source-reviewed", + "runtimeVerified": false + }, + { + "id": "wrongstack:wrongstack", + "name": "WrongStack", + "owner": "WrongStack", + "category": "routing-optimization", + "repoUrl": "https://github.com/WrongStack/WrongStack", + "evidenceUrl": "https://github.com/WrongStack/WrongStack/blob/4cf97c0aa4f855751949ee8e99c719d06f4c26e0/README.md", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/WrongStack/WrongStack/blob/4cf97c0aa4f855751949ee8e99c719d06f4c26e0/README.md" + }, + "language": "TypeScript", + "license": "MIT", + "starsAtCapture": 331, + "summary": { + "en": "An optional Jev dispatch classifier for choosing among WrongStack specialist Agents.", + "zh": "给 WrongStack 编程 Agent 增加一个可选分派助手。遇到多个相近的专长 Agent 时，用 Jev 判断谁更适合当前任务。", + "ja": "WrongStack の専門 Agent から担当を選ぶための、任意で使える JEV ディスパッチ分類器。" + }, + "decision": { + "en": "Jev evaluates the task against eligible specialists; local dispatch rules use the result.", + "zh": "从候选角色中选一个，同时判断有没有任何候选真正适合；不合适时交回原有策略。", + "ja": "JEV は、適格なスペシャリストと照らし合わせてタスクを評価します。ローカルディスパッチルールは結果を使用します。" + }, + "verification": "source-reviewed", + "runtimeVerified": false + }, { "id": "droidrun:mobile-jev", "name": "Mobile JEV", @@ -1864,7 +2340,7 @@ }, "language": "", "license": "MIT", - "starsAtCapture": 304, + "starsAtCapture": 329, "summary": { "en": "Controls an Android phone through Mobilerun, with a web studio and CLI showing Jev decisions.", "zh": "通过 Mobilerun 控制 Android 手机，网页面板与命令行可查看 Jev 的操作过程。", @@ -1879,29 +2355,29 @@ "runtimeVerified": false }, { - "id": "von-open-system-one", - "name": "Von", - "owner": "wfzyx", - "category": "open-models", - "repoUrl": "https://github.com/wfzyx/von", - "evidenceUrl": "https://github.com/wfzyx/von/blob/14d09878e89b103bfbbe641f9bed02e4d72c8830/README.md", + "id": "cognesy:instructor-php", + "name": "Instructor Php", + "owner": "cognesy", + "category": "sdk-integrations", + "repoUrl": "https://github.com/cognesy/instructor-php", + "evidenceUrl": "https://github.com/cognesy/instructor-php/blob/bb1160ce2360dcf1434788c46ee97809fe782ea3/README.md", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/wfzyx/von/blob/14d09878e89b103bfbbe641f9bed02e4d72c8830/README.md" + "url": "https://github.com/cognesy/instructor-php/blob/bb1160ce2360dcf1434788c46ee97809fe782ea3/README.md" }, - "language": "Python", - "license": "Apache-2.0", - "starsAtCapture": 297, + "language": "PHP", + "license": "MIT", + "starsAtCapture": 327, "summary": { - "en": "An open, local System One decision model with a JEV-compatible interface.", - "zh": "提供 JEV 兼容接口的本地开放 System One 决策模型。", - "ja": "JEV 互換インターフェースを持つローカルのオープン System One 判断モデル。" + "en": "A TypeSafe Decision driver within Instructor PHP’s Polyglot module.", + "zh": "Instructor PHP 的 Polyglot 模块内置 TypeSafe Decision 驱动。", + "ja": "Instructor PHP の Polyglot モジュール内の TypeSafe Decision ドライバー。" }, "decision": { - "en": "Scores bounded typed choices locally without autoregressive text generation.", - "zh": "在本地为有限类型化选项评分，不做自回归文本生成。", - "ja": "自己回帰テキスト生成を行わず、限定された型付き候補をローカルで評価します。" + "en": "Converts application state and typed questions into Jev requests and maps responses to PHP decision objects.", + "zh": "将业务状态和类型化问题转换为 Jev 请求，再映射为 PHP 决策响应。", + "ja": "アプリケーション状態と型付き質問を JEV リクエストへ変換し、レスポンスを PHP の意思決定オブジェクトへ割り当てます。" }, "verification": "source-reviewed", "runtimeVerified": false @@ -1920,7 +2396,7 @@ }, "language": "Not declared", "license": "CC0-1.0", - "starsAtCapture": 292, + "starsAtCapture": 316, "summary": { "en": "A source-backed list of projects built with JEV / TypeSafe System One.", "zh": "基于源码核对的 JEV / TypeSafe System One 项目精选列表。", @@ -1935,85 +2411,85 @@ "runtimeVerified": false }, { - "id": "wy-coliney:jev-browser-use", - "name": "JEV Browser Use", - "owner": "wy-coliney", - "category": "browser-computer-use", - "repoUrl": "https://github.com/wy-coliney/jev-browser-use", - "evidenceUrl": "https://github.com/wy-coliney/jev-browser-use/blob/f14b60e0ae1ee90cd73eb6650e30a666a84c021a/skills/jev-browser-use/bridge.mjs", + "id": "gargpratyush:jev-router", + "name": "JEV Router", + "owner": "gargpratyush", + "category": "routing-optimization", + "repoUrl": "https://github.com/gargpratyush/jev-router", + "evidenceUrl": "https://github.com/gargpratyush/jev-router/blob/38da6b84ea01241bfc41fbddc0928d0f40a703f0/src/policy.mjs#L1-L63", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/wy-coliney/jev-browser-use/blob/f14b60e0ae1ee90cd73eb6650e30a666a84c021a/skills/jev-browser-use/bridge.mjs" + "url": "https://github.com/gargpratyush/jev-router/blob/38da6b84ea01241bfc41fbddc0928d0f40a703f0/src/policy.mjs#L1-L63" }, "language": "JavaScript", "license": "MIT", - "starsAtCapture": 291, + "starsAtCapture": 316, "summary": { - "en": "A Skill for Codex browser workflows: Jev chooses navigation, clicks, and scrolling while Codex handles text input and final checks.", - "zh": "给 Codex 浏览器工作流加一个 Skill：Jev 选导航、点击和滚动，Codex 保留文字输入与最终核验。", - "ja": "Codex ブラウザ ワークフローのスキル: JEV はナビゲーション、クリック、スクロールを選択し、Codex はテキスト入力と最終チェックを処理します。" + "en": "A Claude Code and CLI proxy that asks Jev to score task complexity and pick a model from the account’s available set.", + "zh": "Claude Code / CLI 代理：Jev 给任务复杂度打分，并在当前账号可用的模型里选一个，再由本地策略决定是否更换。", + "ja": "Claude Code および CLI プロキシ。JEV にタスクの複雑さをスコアリングし、アカウントの利用可能なセットからモデルを選択するよう依頼します。" }, "decision": { - "en": "Sends page state and permitted candidates to Jev; the existing browser connection executes the actions.", - "zh": "将页面状态与可执行候选交给 Jev，现有浏览器连接负责执行动作。", - "ja": "ページの状態と許可された候補を JEV に送信します。既存のブラウザ接続によってアクションが実行されます。" + "en": "Scores task, reasoning, and tool complexity, then chooses among the exact models the account can run; failures keep the current model.", + "zh": "三个 Score 衡量任务、推理和工具复杂度，再在可用模型上做 Choice；置信不足或 Jev 失败则保持当前模型。", + "ja": "タスク、推論、ツールの複雑さをスコアリングし、アカウントが実行できる正確なモデルの中から選択します。障害が発生しても現在のモデルが維持されます。" }, "verification": "source-reviewed", "runtimeVerified": false }, { - "id": "gargpratyush:jev-router", - "name": "JEV Router", - "owner": "gargpratyush", - "category": "routing-optimization", - "repoUrl": "https://github.com/gargpratyush/jev-router", - "evidenceUrl": "https://github.com/gargpratyush/jev-router/blob/38da6b84ea01241bfc41fbddc0928d0f40a703f0/src/policy.mjs#L1-L63", + "id": "razorback16:openjev", + "name": "Openjev", + "owner": "razorback16", + "category": "sdk-integrations", + "repoUrl": "https://github.com/razorback16/openjev", + "evidenceUrl": "https://github.com/razorback16/openjev/blob/91d5005effcf8cc0ecccaa9538ceabbb130fef59/openjev/api.py", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/gargpratyush/jev-router/blob/38da6b84ea01241bfc41fbddc0928d0f40a703f0/src/policy.mjs#L1-L63" + "url": "https://github.com/razorback16/openjev/blob/91d5005effcf8cc0ecccaa9538ceabbb130fef59/openjev/api.py" }, - "language": "JavaScript", - "license": "MIT", - "starsAtCapture": 283, + "language": "Python", + "license": "Apache-2.0", + "starsAtCapture": 286, "summary": { - "en": "A Claude Code and CLI proxy that asks Jev to score task complexity and pick a model from the account’s available set.", - "zh": "Claude Code / CLI 代理：Jev 给任务复杂度打分，并在当前账号可用的模型里选一个，再由本地策略决定是否更换。", - "ja": "Claude Code および CLI プロキシ。JEV にタスクの複雑さをスコアリングし、アカウントの利用可能なセットからモデルを選択するよう依頼します。" + "en": "An independent System One decision server compatible with Jev’s API, running an open DiffusionGemma model.", + "zh": "一个兼容 Jev System One 接口的独立决策服务，使用开源 DiffusionGemma 模型运行。", + "ja": "JEV API と互換性のある独立型 System One 意思決定サーバーで、オープンな DiffusionGemma モデルを実行します。" }, "decision": { - "en": "Scores task, reasoning, and tool complexity, then chooses among the exact models the account can run; failures keep the current model.", - "zh": "三个 Score 衡量任务、推理和工具复杂度，再在可用模型上做 Choice；置信不足或 Jev 失败则保持当前模型。", - "ja": "タスク、推論、ツールの複雑さをスコアリングし、アカウントが実行できる正確なモデルの中から選択します。障害が発生しても現在のモデルが維持されます。" + "en": "Accepts Jev-style state and Noul, Choice, and Score questions, producing probabilities with a local model.", + "zh": "接受与 Jev 相似的状态和 Noul、Choice、Score 问题，由本地模型产生概率结果。", + "ja": "JEV スタイルの状態と Noul、Choice、Score の質問を受け入れ、ローカル モデルで確率を生成します。" }, "verification": "source-reviewed", "runtimeVerified": false }, { - "id": "yonatangross:orchestkit", - "name": "Orchestkit", - "owner": "yonatangross", - "category": "developer-tools", - "repoUrl": "https://github.com/yonatangross/orchestkit", - "evidenceUrl": "https://github.com/yonatangross/orchestkit/blob/569095f35ce61a4881197dfb8117f4c3312e2bee/src/hooks/src/lib/session-category-provider.ts", + "id": "realzachi:pg-jev", + "name": "Pg JEV", + "owner": "realZachi", + "category": "search-data", + "repoUrl": "https://github.com/realZachi/pg-jev", + "evidenceUrl": "https://github.com/realZachi/pg-jev/blob/afd11fa856d7a2b831a1bfd8ee7f869ce8efcd62/sql/jev--0.2.0.sql", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/yonatangross/orchestkit/blob/569095f35ce61a4881197dfb8117f4c3312e2bee/src/hooks/src/lib/session-category-provider.ts" + "url": "https://github.com/realZachi/pg-jev/blob/afd11fa856d7a2b831a1bfd8ee7f869ce8efcd62/sql/jev--0.2.0.sql" }, - "language": "TypeScript", - "license": "MIT", - "starsAtCapture": 280, + "language": "Shell", + "license": "PostgreSQL", + "starsAtCapture": 286, "summary": { - "en": "OrchestKit can optionally use Jev to classify coding sessions and set their colors when confidence meets a threshold.", - "zh": "OrchestKit 可选用 Jev 给编程会话分类，符合阈值时用结果决定会话颜色。", - "ja": "OrchestKit はオプションで JEV を使用してコーディング セッションを分類し、信頼度がしきい値を満たしたときにその色を設定できます。" + "en": "Adds natural-language filtering, classification, and ranking of rows to PostgreSQL queries.", + "zh": "在 PostgreSQL 查询中用自然语言给数据行筛选、分类和排序。", + "ja": "PostgreSQL クエリに行の自然言語フィルタリング、分類、ランク付けを追加します。" }, "decision": { - "en": "Classifies the first task prompt and branch state by work type; local policy accepts the result or falls back.", - "zh": "将首条任务提示与分支状态分类为开发、排错等工作类型；本地规则选择采用或回退。", - "ja": "最初のタスクプロンプトとブランチ状態を作業種別ごとに分類し、ローカルポリシーが結果の採用またはフォールバックを決めます。" + "en": "Sends row content to Jev for a match decision, category, or score used by SQL conditions and ordering.", + "zh": "将行内容交给 Jev，返回是否匹配、类别或等级分数，供 SQL 条件与排序使用。", + "ja": "SQL 条件および順序付けで使用される一致判定、カテゴリ、またはスコアのために、行の内容を JEV に送信します。" }, "verification": "source-reviewed", "runtimeVerified": false @@ -2032,7 +2508,7 @@ }, "language": "Swift", "license": "MIT", - "starsAtCapture": 270, + "starsAtCapture": 283, "summary": { "en": "A Swift client stack that calls JEV while driving local computer-use style helpers.", "zh": "Swift 客户端栈：在驱动本地 computer-use 辅助逻辑时调用 JEV。", @@ -2047,57 +2523,57 @@ "runtimeVerified": false }, { - "id": "logicrw-awesome-jev-projects", - "name": "Awesome JEV Projects", - "owner": "logicrw", + "id": "yonatangross:orchestkit", + "name": "Orchestkit", + "owner": "yonatangross", "category": "developer-tools", - "repoUrl": "https://github.com/logicrw/awesome-jev-projects", - "evidenceUrl": "https://github.com/logicrw/awesome-jev-projects/blob/d1b1b8d6c68c1754425778606d20d2cb14b09895/SKILL.md", + "repoUrl": "https://github.com/yonatangross/orchestkit", + "evidenceUrl": "https://github.com/yonatangross/orchestkit/blob/569095f35ce61a4881197dfb8117f4c3312e2bee/src/hooks/src/lib/session-category-provider.ts", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/logicrw/awesome-jev-projects/blob/d1b1b8d6c68c1754425778606d20d2cb14b09895/SKILL.md" + "url": "https://github.com/yonatangross/orchestkit/blob/569095f35ce61a4881197dfb8117f4c3312e2bee/src/hooks/src/lib/session-category-provider.ts" }, - "language": "JavaScript", + "language": "TypeScript", "license": "MIT", - "starsAtCapture": 264, + "starsAtCapture": 281, "summary": { - "en": "A source-backed JEV ecosystem radar with plain-language discovery and GitHub sync.", - "zh": "有源码依据的 JEV 生态雷达，含白话发现页与 GitHub 同步。", - "ja": "根拠付き JEV エコシステムレーダー。平易な発見 UI と GitHub 同期付き。" + "en": "OrchestKit can optionally use Jev to classify coding sessions and set their colors when confidence meets a threshold.", + "zh": "OrchestKit 可选用 Jev 给编程会话分类，符合阈值时用结果决定会话颜色。", + "ja": "OrchestKit はオプションで JEV を使用してコーディング セッションを分類し、信頼度がしきい値を満たしたときにその色を設定できます。" }, "decision": { - "en": "Curates which open-source JEV integrations are worth browsing by decision pattern.", - "zh": "按决策模式整理值得浏览的开源 JEV 集成。", - "ja": "意思決定パターン別に、見る価値のある OSS JEV 統合を整理します。" + "en": "Classifies the first task prompt and branch state by work type; local policy accepts the result or falls back.", + "zh": "将首条任务提示与分支状态分类为开发、排错等工作类型；本地规则选择采用或回退。", + "ja": "最初のタスクプロンプトとブランチ状態を作業種別ごとに分類し、ローカルポリシーが結果の採用またはフォールバックを決めます。" }, "verification": "source-reviewed", "runtimeVerified": false }, { - "id": "realzachi:pg-jev", - "name": "Pg JEV", - "owner": "realZachi", - "category": "search-data", - "repoUrl": "https://github.com/realZachi/pg-jev", - "evidenceUrl": "https://github.com/realZachi/pg-jev/blob/afd11fa856d7a2b831a1bfd8ee7f869ce8efcd62/sql/jev--0.2.0.sql", + "id": "decider", + "name": "Decider", + "owner": "Mapika", + "category": "open-models", + "repoUrl": "https://github.com/Mapika/decider", + "evidenceUrl": "https://github.com/Mapika/decider/blob/c4daaac28af9fea95d627015cffa2dd5a5926ee6/decider/__init__.py", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/realZachi/pg-jev/blob/afd11fa856d7a2b831a1bfd8ee7f869ce8efcd62/sql/jev--0.2.0.sql" + "url": "https://github.com/Mapika/decider/blob/c4daaac28af9fea95d627015cffa2dd5a5926ee6/decider/__init__.py" }, - "language": "Shell", - "license": "PostgreSQL", - "starsAtCapture": 259, + "language": "Python", + "license": "Apache-2.0", + "starsAtCapture": 279, "summary": { - "en": "Adds natural-language filtering, classification, and ranking of rows to PostgreSQL queries.", - "zh": "在 PostgreSQL 查询中用自然语言给数据行筛选、分类和排序。", - "ja": "PostgreSQL クエリに行の自然言語フィルタリング、分類、ランク付けを追加します。" + "en": "One-pass typed decisions with calibrated probabilities, fine-tuned from Qwen3.5-2B.", + "zh": "一次前向的类型化决策与校准概率，基于 Qwen3.5-2B 微调。", + "ja": "Qwen3.5-2B 微調整による、1 パスの型付き意思決定と校正確率。" }, "decision": { - "en": "Sends row content to Jev for a match decision, category, or score used by SQL conditions and ordering.", - "zh": "将行内容交给 Jev，返回是否匹配、类别或等级分数，供 SQL 条件与排序使用。", - "ja": "SQL 条件および順序付けで使用される一致判定、カテゴリ、またはスコアのために、行の内容を JEV に送信します。" + "en": "Returns local System One–style answers for Choice, Score, and yes/no style prompts.", + "zh": "对 Choice、Score 与是否类问题返回本地 System One 风格答案。", + "ja": "Choice / Score / 是否プロンプトにローカルな System One 風回答を返します。" }, "verification": "source-reviewed", "runtimeVerified": false @@ -2111,7 +2587,7 @@ "evidenceUrl": "https://github.com/sutro-sh/jev-align/blob/49753df924d30c0d3642b58e0b9b1e89921dc102/README.md", "language": "Python", "license": "Apache-2.0", - "starsAtCapture": 253, + "starsAtCapture": 271, "summary": { "en": "A CLI for calibrating Jev classifiers from human examples with GEPA.", "zh": "用人工正反例和 GEPA 校准 JEV 分类标准的 CLI。", @@ -2132,6 +2608,62 @@ "views": 68757 } }, + { + "id": "openjev-sglang", + "name": "OpenJEV SGLang", + "owner": "ekzhang", + "category": "open-models", + "repoUrl": "https://github.com/ekzhang/openjev-sglang", + "evidenceUrl": "https://github.com/ekzhang/openjev-sglang/blob/604664a22b2cf44c6cc499e503092ae4e3c24c03/src/openjev/__init__.py", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/ekzhang/openjev-sglang/blob/604664a22b2cf44c6cc499e503092ae4e3c24c03/src/openjev/__init__.py" + }, + "language": "Python", + "license": "Not declared", + "starsAtCapture": 258, + "summary": { + "en": "A JEV-compatible API endpoint built on open models with a prefill-only serving path.", + "zh": "基于开源模型的 JEV 兼容 API，采用 prefill-only 服务路径。", + "ja": "オープンモデル上の JEV 互換 API。prefill-only の提供経路を使います。" + }, + "decision": { + "en": "Serves System One–style probability answers from open models instead of hosted JEV.", + "zh": "用开源模型提供 System One 风格的概率答案，替代托管 JEV。", + "ja": "ホスト型 JEV の代わりに、オープンモデルで System One 風の確率回答を返します。" + }, + "verification": "source-reviewed", + "runtimeVerified": false + }, + { + "id": "anotiawang-awesome-jev", + "name": "Awesome JEV (AnotiaWang)", + "owner": "AnotiaWang", + "category": "developer-tools", + "repoUrl": "https://github.com/AnotiaWang/awesome-jev", + "evidenceUrl": "https://github.com/AnotiaWang/awesome-jev/blob/04e65b59a936b2fed0d40eaec71a0a11e33bb422/README.md", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/AnotiaWang/awesome-jev/blob/04e65b59a936b2fed0d40eaec71a0a11e33bb422/README.md" + }, + "language": "", + "license": "CC0-1.0", + "starsAtCapture": 257, + "summary": { + "en": "A curated list of JEV applications, libraries, and System One resources.", + "zh": "JEV 应用、类库与 System One 资源精选清单。", + "ja": "JEV アプリ、ライブラリ、System One 資料のキュレーション一覧。" + }, + "decision": { + "en": "Groups ecosystem resources so builders can compare implementation patterns.", + "zh": "整理生态资源，方便开发者比较不同实现模式。", + "ja": "エコシステム資料を整理し、実装パターンを比較しやすくします。" + }, + "verification": "source-reviewed", + "runtimeVerified": false + }, { "id": "cequence-io:openai-scala-client", "name": "Openai Scala Client", @@ -2161,57 +2693,57 @@ "runtimeVerified": false }, { - "id": "razorback16:openjev", - "name": "Openjev", - "owner": "razorback16", - "category": "sdk-integrations", - "repoUrl": "https://github.com/razorback16/openjev", - "evidenceUrl": "https://github.com/razorback16/openjev/blob/91d5005effcf8cc0ecccaa9538ceabbb130fef59/openjev/api.py", + "id": "openjev-verdict-2", + "name": "OpenJEV Verdict 2.0", + "owner": "Heman10x-NGU", + "category": "open-models", + "repoUrl": "https://github.com/Heman10x-NGU/openJev-verdict-2.0", + "evidenceUrl": "https://github.com/Heman10x-NGU/openJev-verdict-2.0/blob/a458733c5f43fc7f30b6e4381636cbfbf8437633/openjev/__init__.py", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/razorback16/openjev/blob/91d5005effcf8cc0ecccaa9538ceabbb130fef59/openjev/api.py" + "url": "https://github.com/Heman10x-NGU/openJev-verdict-2.0/blob/a458733c5f43fc7f30b6e4381636cbfbf8437633/openjev/__init__.py" }, "language": "Python", - "license": "Apache-2.0", - "starsAtCapture": 245, + "license": "Not declared", + "starsAtCapture": 246, "summary": { - "en": "An independent System One decision server compatible with Jev’s API, running an open DiffusionGemma model.", - "zh": "一个兼容 Jev System One 接口的独立决策服务，使用开源 DiffusionGemma 模型运行。", - "ja": "JEV API と互換性のある独立型 System One 意思決定サーバーで、オープンな DiffusionGemma モデルを実行します。" + "en": "A calibrated ~151M non-autoregressive local decision engine aiming at JEV-style typed answers.", + "zh": "约 151M 的校准非自回归本地决策引擎，目标对齐类 JEV 类型化答案。", + "ja": "約 151M の校正済み非自己回帰ローカル意思決定エンジン。JEV 風の型付き回答を目指す。" }, "decision": { - "en": "Accepts Jev-style state and Noul, Choice, and Score questions, producing probabilities with a local model.", - "zh": "接受与 Jev 相似的状态和 Noul、Choice、Score 问题，由本地模型产生概率结果。", - "ja": "JEV スタイルの状態と Noul、Choice、Score の質問を受け入れ、ローカル モデルで確率を生成します。" + "en": "Produces local Noul/Choice/Score-style probabilities without calling hosted JEV.", + "zh": "不调用托管 JEV，在本地产出 Noul/Choice/Score 风格概率。", + "ja": "ホスト型 JEV を呼ばず、ローカルで Noul/Choice/Score 風の確率を出します。" }, "verification": "source-reviewed", "runtimeVerified": false }, { - "id": "openjev-sglang", - "name": "OpenJEV SGLang", - "owner": "ekzhang", - "category": "open-models", - "repoUrl": "https://github.com/ekzhang/openjev-sglang", - "evidenceUrl": "https://github.com/ekzhang/openjev-sglang/blob/604664a22b2cf44c6cc499e503092ae4e3c24c03/src/openjev/__init__.py", + "id": "jev-mcp", + "name": "JEV MCP", + "owner": "jkudish", + "category": "developer-tools", + "repoUrl": "https://github.com/jkudish/jev-mcp", + "evidenceUrl": "https://github.com/jkudish/jev-mcp/blob/89f88b90c3180184d56961160e7178e64c98e468/src/provider.ts#L127", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/ekzhang/openjev-sglang/blob/604664a22b2cf44c6cc499e503092ae4e3c24c03/src/openjev/__init__.py" + "url": "https://github.com/jkudish/jev-mcp/blob/89f88b90c3180184d56961160e7178e64c98e468/src/provider.ts#L127" }, - "language": "Python", - "license": "Not declared", + "language": "TypeScript", + "license": "MIT", "starsAtCapture": 245, "summary": { - "en": "A JEV-compatible API endpoint built on open models with a prefill-only serving path.", - "zh": "基于开源模型的 JEV 兼容 API，采用 prefill-only 服务路径。", - "ja": "オープンモデル上の JEV 互換 API。prefill-only の提供経路を使います。" + "en": "Eight MCP tools for evidence checks, content screening, search, reranking, classification, comparison and extraction.", + "zh": "给 Agent 提供核对引用、筛查内容、查找、重排、分类、比较和提取等八个 MCP 判断工具。", + "ja": "証拠チェック、コンテンツ スクリーニング、検索、再ランキング、分類、比較、抽出のための 8 つの MCP ツール。" }, "decision": { - "en": "Serves System One–style probability answers from open models instead of hosted JEV.", - "zh": "用开源模型提供 System One 风格的概率答案，替代托管 JEV。", - "ja": "ホスト型 JEV の代わりに、オープンモデルで System One 風の確率回答を返します。" + "en": "Uses typed questions to assess evidence support, content risk and candidate relevance.", + "zh": "用 Choice、Noul 等问题评估证据支持、内容风险和候选相关性。", + "ja": "型付きの質問 を使用して、証拠の裏付け、コンテンツのリスク、および候補者の関連性を評価します。" }, "verification": "source-reviewed", "runtimeVerified": false @@ -2230,7 +2762,7 @@ }, "language": "TypeScript", "license": "MIT", - "starsAtCapture": 241, + "starsAtCapture": 244, "summary": { "en": "Pi’s programmable runtime includes an optional Jev loop for observing state, making decisions and running bounded actions.", "zh": "给 Pi 的工具运行时加上可编程的 Jev 决策循环。先写好观察、判断和执行步骤，再让它按预算在前台或后台运行。", @@ -2245,29 +2777,85 @@ "runtimeVerified": false }, { - "id": "openjev-verdict-2", - "name": "OpenJEV Verdict 2.0", - "owner": "Heman10x-NGU", - "category": "open-models", - "repoUrl": "https://github.com/Heman10x-NGU/openJev-verdict-2.0", - "evidenceUrl": "https://github.com/Heman10x-NGU/openJev-verdict-2.0/blob/a458733c5f43fc7f30b6e4381636cbfbf8437633/openjev/__init__.py", + "id": "system-one-adapter-python", + "name": "System One Adapter (Python)", + "owner": "typesafe-ai", + "category": "sdk-integrations", + "repoUrl": "https://github.com/typesafe-ai/system-one-adapter-python", + "evidenceUrl": "https://github.com/typesafe-ai/system-one-adapter-python/blob/adffc2eab300a4fa3c0e92252d4ffd6ceaa53700/src/system_one_adapter/_client.py", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/Heman10x-NGU/openJev-verdict-2.0/blob/a458733c5f43fc7f30b6e4381636cbfbf8437633/openjev/__init__.py" + "url": "https://github.com/typesafe-ai/system-one-adapter-python/blob/adffc2eab300a4fa3c0e92252d4ffd6ceaa53700/src/system_one_adapter/_client.py" }, "language": "Python", - "license": "Not declared", - "starsAtCapture": 221, + "license": "MIT", + "starsAtCapture": 243, "summary": { - "en": "A calibrated ~151M non-autoregressive local decision engine aiming at JEV-style typed answers.", - "zh": "约 151M 的校准非自回归本地决策引擎，目标对齐类 JEV 类型化答案。", - "ja": "約 151M の校正済み非自己回帰ローカル意思決定エンジン。JEV 風の型付き回答を目指す。" - }, - "decision": { - "en": "Produces local Noul/Choice/Score-style probabilities without calling hosted JEV.", - "zh": "不调用托管 JEV，在本地产出 Noul/Choice/Score 风格概率。", - "ja": "ホスト型 JEV を呼ばず、ローカルで Noul/Choice/Score 風の確率を出します。" + "en": "A drop-in TypeSafeClient replacement that backs System One calls with ordinary LLM APIs.", + "zh": "可替换 TypeSafeClient 的适配器，用普通 LLM API 承接 System One 调用。", + "ja": "通常の LLM API で System One 呼び出しを受ける、TypeSafeClient 差し替えアダプタ。" + }, + "decision": { + "en": "Maps Noul, Choice, and Score questions onto LLM providers and normalizes probabilities.", + "zh": "把 Noul / Choice / Score 问题映射到 LLM 提供方并归一化概率。", + "ja": "Noul / Choice / Score を LLM プロバイダへ写し、確率を正規化します。" + }, + "verification": "source-reviewed", + "runtimeVerified": false + }, + { + "id": "jkudish:jev-browser", + "name": "JEV Browser", + "owner": "jkudish", + "category": "browser-computer-use", + "repoUrl": "https://github.com/jkudish/jev-browser", + "evidenceUrl": "https://github.com/jkudish/jev-browser/blob/8d90c51bedbe7cd07596bfaa532ded019a31d2a8/src/navigate.ts#L1", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/jkudish/jev-browser/blob/8d90c51bedbe7cd07596bfaa532ded019a31d2a8/src/navigate.ts#L1" + }, + "language": "", + "license": "MIT", + "starsAtCapture": 231, + "summary": { + "en": "Drives a browser from a task and URL, returning the final page, screenshot and action trace.", + "zh": "给定任务与网址后驱动浏览器，返回最终页面、截图和逐步操作记录。", + "ja": "タスクと URL からブラウザを起動し、最終ページ、スクリーンショット、アクション トレースを返します。" + }, + "decision": { + "en": "Chooses DOM actions and judges goal completion or stalled progress; a separate model can supply typed text.", + "zh": "从 DOM 控件选择点击、输入、选择或滚动，并判断目标是否完成、流程是否卡住。", + "ja": "DOM アクションを選択し、目標の完了または進行の停滞を判断します。別のモデルでは、入力されたテキストを提供できます。" + }, + "verification": "source-reviewed", + "runtimeVerified": false + }, + { + "id": "typesafe-mcp", + "name": "TypeSafe MCP", + "owner": "itsmostafa", + "category": "developer-tools", + "repoUrl": "https://github.com/itsmostafa/typesafe-mcp", + "evidenceUrl": "https://github.com/itsmostafa/typesafe-mcp/blob/0c9f35d9b1859189fc7e7d01947061f311ca6dde/README.md", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/itsmostafa/typesafe-mcp/blob/0c9f35d9b1859189fc7e7d01947061f311ca6dde/README.md" + }, + "language": "Go", + "license": "MIT", + "starsAtCapture": 227, + "summary": { + "en": "An MCP server that lets Claude Code, Claude Desktop, Codex and Pi ask Jev typed questions.", + "zh": "让 Claude Code、Claude Desktop、Codex 和 Pi 通过 MCP 或扩展向 Jev 提问，获取结构化判断。", + "ja": "Claude Code、Claude Desktop、Codex、Pi から JEV へ型付き質問を送れる MCP サーバー。" + }, + "decision": { + "en": "Submits state and Choice, Score or Noul questions and returns structured answers with probabilities.", + "zh": "把状态和 Choice、Score、Noul 问题交给 Jev，返回答案与概率。", + "ja": "状態、選択、スコア、または Noul の質問を送信し、確率を含む構造化された回答を返します。" }, "verification": "source-reviewed", "runtimeVerified": false @@ -2286,7 +2874,7 @@ }, "language": "TypeScript", "license": "MIT", - "starsAtCapture": 220, + "starsAtCapture": 223, "summary": { "en": "A self-hosted, versioned Agent skills library with optional Jev recommendations.", "zh": "自建一个有版本管理的 Agent 技能库，还能选配 Jev 推荐：告诉它当前任务，从你有权限使用的技能里挑更相关的。", @@ -2301,57 +2889,85 @@ "runtimeVerified": false }, { - "id": "system-one-adapter-python", - "name": "System One Adapter (Python)", - "owner": "typesafe-ai", - "category": "sdk-integrations", - "repoUrl": "https://github.com/typesafe-ai/system-one-adapter-python", - "evidenceUrl": "https://github.com/typesafe-ai/system-one-adapter-python/blob/adffc2eab300a4fa3c0e92252d4ffd6ceaa53700/src/system_one_adapter/_client.py", + "id": "jev-visual", + "name": "JEV Visual", + "owner": "hr98w", + "category": "open-models", + "repoUrl": "https://github.com/hr98w/jev-visual", + "evidenceUrl": "https://github.com/hr98w/jev-visual/blob/19af545f096e8db4c4dd5d47aed42d92ec252111/jev_visual/scoring.py", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/typesafe-ai/system-one-adapter-python/blob/adffc2eab300a4fa3c0e92252d4ffd6ceaa53700/src/system_one_adapter/_client.py" + "url": "https://github.com/hr98w/jev-visual/blob/19af545f096e8db4c4dd5d47aed42d92ec252111/jev_visual/scoring.py" }, "language": "Python", "license": "MIT", - "starsAtCapture": 218, + "starsAtCapture": 221, "summary": { - "en": "A drop-in TypeSafeClient replacement that backs System One calls with ordinary LLM APIs.", - "zh": "可替换 TypeSafeClient 的适配器，用普通 LLM API 承接 System One 调用。", - "ja": "通常の LLM API で System One 呼び出しを受ける、TypeSafeClient 差し替えアダプタ。" + "en": "An educational JEV-like visual inference experiment on Apple Silicon with shared context scoring.", + "zh": "在 Apple Silicon 上的教学向类 JEV 视觉推理实验，共享上下文直接给候选打分。", + "ja": "Apple Silicon 上の教育向け JEV 風ビジョン推論。共有コンテキストで候補を直接採点。" }, "decision": { - "en": "Maps Noul, Choice, and Score questions onto LLM providers and normalizes probabilities.", - "zh": "把 Noul / Choice / Score 问题映射到 LLM 提供方并归一化概率。", - "ja": "Noul / Choice / Score を LLM プロバイダへ写し、確率を正規化します。" + "en": "Scores visual or textual candidates in one forward pass and returns calibrated probabilities.", + "zh": "一次前向为视觉或文本候选打分，并返回校准概率。", + "ja": "1 回の前向き計算で視覚／テキスト候補を採点し、校正確率を返します。" }, "verification": "source-reviewed", "runtimeVerified": false }, { - "id": "jkudish:jev-browser", - "name": "JEV Browser", - "owner": "jkudish", + "id": "moritzkremb:jev-voice-browser", + "name": "JEV Voice Browser", + "owner": "moritzkremb", "category": "browser-computer-use", - "repoUrl": "https://github.com/jkudish/jev-browser", - "evidenceUrl": "https://github.com/jkudish/jev-browser/blob/8d90c51bedbe7cd07596bfaa532ded019a31d2a8/src/navigate.ts#L1", + "repoUrl": "https://github.com/moritzkremb/jev-voice-browser", + "evidenceUrl": "https://github.com/moritzkremb/jev-voice-browser/blob/054db0f3dbf537af63a8117632d3f941ccd520e1/src/jev.js#L123", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/jkudish/jev-browser/blob/8d90c51bedbe7cd07596bfaa532ded019a31d2a8/src/navigate.ts#L1" + "url": "https://github.com/moritzkremb/jev-voice-browser/blob/054db0f3dbf537af63a8117632d3f941ccd520e1/src/jev.js#L123" }, "language": "", "license": "MIT", - "starsAtCapture": 209, + "starsAtCapture": 216, "summary": { - "en": "Drives a browser from a task and URL, returning the final page, screenshot and action trace.", - "zh": "给定任务与网址后驱动浏览器，返回最终页面、截图和逐步操作记录。", - "ja": "タスクと URL からブラウザを起動し、最終ページ、スクリーンショット、アクション トレースを返します。" + "en": "Controls a Playwright browser by sending incremental speech transcripts to Jev.", + "zh": "用语音控制 Playwright 浏览器，将逐步转写的口令交给 Jev 判断。", + "ja": "増分音声トランスクリプトを JEV に送信することで、Playwright ブラウザを制御します。" }, "decision": { - "en": "Chooses DOM actions and judges goal completion or stalled progress; a separate model can supply typed text.", - "zh": "从 DOM 控件选择点击、输入、选择或滚动，并判断目标是否完成、流程是否卡住。", - "ja": "DOM アクションを選択し、目標の完了または進行の停滞を判断します。別のモデルでは、入力されたテキストを提供できます。" + "en": "Chooses intent, elements, URLs or verbatim spans and judges command completeness and sensitive actions.", + "zh": "选择意图、元素、网址或原文片段，并判断口令是否完整、是否涉及敏感动作。", + "ja": "インテント、要素、URL、または逐語的な範囲を選択し、コマンドの完全性と機密性の高いアクションを判断します。" + }, + "verification": "source-reviewed", + "runtimeVerified": false + }, + { + "id": "typesafe-ai:typesafe-sdk-js", + "name": "TypeSafe SDK Js", + "owner": "typesafe-ai", + "category": "sdk-integrations", + "repoUrl": "https://github.com/typesafe-ai/typesafe-sdk-js", + "evidenceUrl": "https://github.com/typesafe-ai/typesafe-sdk-js/blob/66880ccded6cb642dc1809620c2b108c33730214/README.md", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/typesafe-ai/typesafe-sdk-js/blob/66880ccded6cb642dc1809620c2b108c33730214/README.md" + }, + "language": "TypeScript", + "license": "MIT", + "starsAtCapture": 214, + "summary": { + "en": "The JavaScript and TypeScript SDK published by TypeSafe, with typed Jev requests and answers.", + "zh": "TypeSafe 组织发布的 JavaScript 与 TypeScript SDK，提供 Jev 请求和回答类型。", + "ja": "TypeSafe によって公開された JavaScript および TypeScript SDK (型指定された JEV リクエストと回答を含む)。" + }, + "decision": { + "en": "systemOne submits state and named questions and infers answer types from the questions.", + "zh": "systemOne 提交状态与命名问题，并按问题类型推导返回答案。", + "ja": "systemOne は、状態と名前付きの質問を送信し、質問から回答タイプを推測します。" }, "verification": "source-reviewed", "runtimeVerified": false @@ -2365,7 +2981,7 @@ "evidenceUrl": "https://github.com/coldteadotai/abide/blob/ec3352e873163b74aca1ac9cf3bd0ea69a97723a/README.md", "language": "TypeScript", "license": "MIT", - "starsAtCapture": 199, + "starsAtCapture": 207, "summary": { "en": "A coding-agent rule layer for constraints that ordinary linters cannot express.", "zh": "为普通 Linter 难以表达的项目规则增加 Agent 级约束。", @@ -2400,7 +3016,7 @@ }, "language": "TypeScript", "license": "AGPL-3.0", - "starsAtCapture": 199, + "starsAtCapture": 207, "summary": { "en": "A product that turns work artifacts into publishable content with agent skill hooks.", "zh": "把工作产物转成可发布内容的产品，并挂接 Agent Skill。", @@ -2415,85 +3031,87 @@ "runtimeVerified": false }, { - "id": "jev-mcp", - "name": "JEV MCP", - "owner": "jkudish", - "category": "developer-tools", - "repoUrl": "https://github.com/jkudish/jev-mcp", - "evidenceUrl": "https://github.com/jkudish/jev-mcp/blob/89f88b90c3180184d56961160e7178e64c98e468/src/provider.ts#L127", - "source": { - "type": "github", - "label": "GitHub source", - "url": "https://github.com/jkudish/jev-mcp/blob/89f88b90c3180184d56961160e7178e64c98e468/src/provider.ts#L127" - }, - "language": "TypeScript", + "id": "jeff", + "name": "Jeff", + "owner": "logan-markewich", + "category": "open-models", + "repoUrl": "https://github.com/logan-markewich/jeff", + "evidenceUrl": "https://github.com/logan-markewich/jeff/blob/34b32f99a727c47b679adde33f4702a001e02979/README.md", + "language": "Python", "license": "MIT", - "starsAtCapture": 196, + "starsAtCapture": 205, "summary": { - "en": "Eight MCP tools for evidence checks, content screening, search, reranking, classification, comparison and extraction.", - "zh": "给 Agent 提供核对引用、筛查内容、查找、重排、分类、比较和提取等八个 MCP 判断工具。", - "ja": "証拠チェック、コンテンツ スクリーニング、検索、再ランキング、分類、比較、抽出のための 8 つの MCP ツール。" + "en": "A self-hosted Jev-compatible service powered by GliFormer.", + "zh": "基于 GliFormer、可自托管的 JEV 兼容服务。", + "ja": "GliFormer を利用したセルフホスト型の JEV 互換サービス。" }, "decision": { - "en": "Uses typed questions to assess evidence support, content risk and candidate relevance.", - "zh": "用 Choice、Noul 等问题评估证据支持、内容风险和候选相关性。", - "ja": "型付きの質問 を使用して、証拠の裏付け、コンテンツのリスク、および候補者の関連性を評価します。" + "en": "Preserves the decision API while running the classifier locally.", + "zh": "保留简洁的决策 API，同时在本地运行分类器。", + "ja": "分類子をローカルで実行している間、意思決定 API を保持します。" }, "verification": "source-reviewed", - "runtimeVerified": false + "runtimeVerified": false, + "source": { + "type": "x", + "label": "Original X case", + "url": "https://x.com/LoganMarkewich/status/2101142971223781587", + "author": "@LoganMarkewich", + "views": 29163 + } }, { - "id": "typesafe-ai:typesafe-sdk-js", - "name": "TypeSafe SDK Js", - "owner": "typesafe-ai", - "category": "sdk-integrations", - "repoUrl": "https://github.com/typesafe-ai/typesafe-sdk-js", - "evidenceUrl": "https://github.com/typesafe-ai/typesafe-sdk-js/blob/66880ccded6cb642dc1809620c2b108c33730214/README.md", - "source": { - "type": "github", - "label": "GitHub source", - "url": "https://github.com/typesafe-ai/typesafe-sdk-js/blob/66880ccded6cb642dc1809620c2b108c33730214/README.md" - }, - "language": "TypeScript", + "id": "siftrank-jev", + "name": "SiftRank · JEV", + "owner": "noperator", + "category": "search-data", + "starsAtCapture": 202, + "language": "Go", "license": "MIT", - "starsAtCapture": 196, "summary": { - "en": "The JavaScript and TypeScript SDK published by TypeSafe, with typed Jev requests and answers.", - "zh": "TypeSafe 组织发布的 JavaScript 与 TypeScript SDK，提供 Jev 请求和回答类型。", - "ja": "TypeSafe によって公開された JavaScript および TypeScript SDK (型指定された JEV リクエストと回答を含む)。" + "en": "A command-line ranking tool that uses JEV to find relevant items in large collections.", + "zh": "使用 JEV 在大型集合中寻找相关条目的命令行排序工具。", + "ja": "JEV を使って大規模コレクションから関連項目を探す CLI ランキングツール。" }, "decision": { - "en": "systemOne submits state and named questions and infers answer types from the questions.", - "zh": "systemOne 提交状态与命名问题，并按问题类型推导返回答案。", - "ja": "systemOne は、状態と名前付きの質問を送信し、質問から回答タイプを推測します。" + "en": "Scores candidates in batches and applies convergence rules before returning the highest-value subset.", + "zh": "批量评分候选，并在返回最高价值子集前应用收敛规则。", + "ja": "候補をバッチ採点し、収束ルールを適用してから価値の高い部分集合を返します。" }, - "verification": "source-reviewed", - "runtimeVerified": false - }, - { - "id": "jev-visual", - "name": "JEV Visual", - "owner": "hr98w", - "category": "open-models", - "repoUrl": "https://github.com/hr98w/jev-visual", - "evidenceUrl": "https://github.com/hr98w/jev-visual/blob/19af545f096e8db4c4dd5d47aed42d92ec252111/jev_visual/scoring.py", + "repoUrl": "https://github.com/noperator/siftrank", + "evidenceUrl": "https://github.com/noperator/siftrank/blob/03e7afe3289a204ea3dcc51613cea91877a651de/pkg/siftrank/jev_provider.go", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/hr98w/jev-visual/blob/19af545f096e8db4c4dd5d47aed42d92ec252111/jev_visual/scoring.py" + "url": "https://github.com/noperator/siftrank/blob/03e7afe3289a204ea3dcc51613cea91877a651de/pkg/siftrank/jev_provider.go" }, + "verification": "source-reviewed", + "runtimeVerified": false + }, + { + "id": "docjev", + "name": "DocJEV", + "owner": "jerryjliu", + "category": "search-data", + "starsAtCapture": 201, "language": "Python", - "license": "MIT", - "starsAtCapture": 192, + "license": "Apache-2.0", "summary": { - "en": "An educational JEV-like visual inference experiment on Apple Silicon with shared context scoring.", - "zh": "在 Apple Silicon 上的教学向类 JEV 视觉推理实验，共享上下文直接给候选打分。", - "ja": "Apple Silicon 上の教育向け JEV 風ビジョン推論。共有コンテキストで候補を直接採点。" + "en": "A document classifier and splitter with a dedicated JEV engine.", + "zh": "带专用 JEV Engine 的文档分类与切分工具。", + "ja": "専用 JEV エンジンを備えた文書分類・分割ツール。" }, "decision": { - "en": "Scores visual or textual candidates in one forward pass and returns calibrated probabilities.", - "zh": "一次前向为视觉或文本候选打分，并返回校准概率。", - "ja": "1 回の前向き計算で視覚／テキスト候補を採点し、校正確率を返します。" + "en": "Classifies documents and split boundaries from bounded schemas, with cache and alternate-engine support.", + "zh": "根据有限 Schema 判断文档类别与切分边界，并支持缓存及备用引擎。", + "ja": "限定 Schema から文書カテゴリと分割境界を判断し、キャッシュと代替エンジンにも対応します。" + }, + "repoUrl": "https://github.com/jerryjliu/docjev", + "evidenceUrl": "https://github.com/jerryjliu/docjev/blob/7e6b48d3f7eec8db7b582e7276f2778c0d12ca3d/src/jev_docs/engines/jev.py", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/jerryjliu/docjev/blob/7e6b48d3f7eec8db7b582e7276f2778c0d12ca3d/src/jev_docs/engines/jev.py" }, "verification": "source-reviewed", "runtimeVerified": false @@ -2512,7 +3130,7 @@ }, "language": "TypeScript", "license": "MIT", - "starsAtCapture": 191, + "starsAtCapture": 196, "summary": { "en": "A local MCP code-quality reviewer returning structured scores to coding Agents.", "zh": "供编码 Agent 使用的本地 MCP 代码质量检查器，返回多个维度的结构化评分。", @@ -2527,57 +3145,57 @@ "runtimeVerified": false }, { - "id": "moritzkremb:jev-voice-browser", - "name": "JEV Voice Browser", - "owner": "moritzkremb", - "category": "browser-computer-use", - "repoUrl": "https://github.com/moritzkremb/jev-voice-browser", - "evidenceUrl": "https://github.com/moritzkremb/jev-voice-browser/blob/054db0f3dbf537af63a8117632d3f941ccd520e1/src/jev.js#L123", - "source": { - "type": "github", - "label": "GitHub source", - "url": "https://github.com/moritzkremb/jev-voice-browser/blob/054db0f3dbf537af63a8117632d3f941ccd520e1/src/jev.js#L123" - }, - "language": "", + "id": "laya-node-runtime", + "name": "Laya Node Runtime", + "owner": "receptron", + "category": "open-models", + "starsAtCapture": 195, + "language": "TypeScript", "license": "MIT", - "starsAtCapture": 187, "summary": { - "en": "Controls a Playwright browser by sending incremental speech transcripts to Jev.", - "zh": "用语音控制 Playwright 浏览器，将逐步转写的口令交给 Jev 判断。", - "ja": "増分音声トランスクリプトを JEV に送信することで、Playwright ブラウザを制御します。" + "en": "A Node.js and TypeScript runtime for the open Laya JEV-compatible decision model.", + "zh": "面向开放 Laya JEV 兼容决策模型的 Node.js / TypeScript Runtime。", + "ja": "オープンな Laya JEV 互換判断モデル向け Node.js / TypeScript Runtime。" }, "decision": { - "en": "Chooses intent, elements, URLs or verbatim spans and judges command completeness and sensitive actions.", - "zh": "选择意图、元素、网址或原文片段，并判断口令是否完整、是否涉及敏感动作。", - "ja": "インテント、要素、URL、または逐語的な範囲を選択し、コマンドの完全性と機密性の高いアクションを判断します。" + "en": "Runs the ONNX model locally and returns typed decision probabilities without a hosted JEV call.", + "zh": "在本地运行 ONNX 模型并返回类型化决策概率，无需调用托管 JEV。", + "ja": "ONNX モデルをローカル実行し、ホスト型 JEV を呼ばずに型付き判断確率を返します。" }, - "verification": "source-reviewed", + "repoUrl": "https://github.com/receptron/laya", + "evidenceUrl": "https://github.com/receptron/laya/blob/6478649e723122ca24bbf5fb69ed1010023c9750/src/laya.ts", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/receptron/laya/blob/6478649e723122ca24bbf5fb69ed1010023c9750/src/laya.ts" + }, + "verification": "source-reviewed", "runtimeVerified": false }, { - "id": "knuckles92:openwhisper", - "name": "OpenWhisper", - "owner": "Knuckles92", - "category": "interfaces", - "repoUrl": "https://github.com/Knuckles92/OpenWhisper", - "evidenceUrl": "https://github.com/Knuckles92/OpenWhisper/blob/9e83653df183096104769e302a3c907cb277c551/README.md", + "id": "typesafe-ai:typesafe-sdk-python", + "name": "TypeSafe SDK Python", + "owner": "typesafe-ai", + "category": "sdk-integrations", + "repoUrl": "https://github.com/typesafe-ai/typesafe-sdk-python", + "evidenceUrl": "https://github.com/typesafe-ai/typesafe-sdk-python/blob/2ce5c65f13646cab6e6f782328194c9d85f3300a/src/typesafe_sdk/_core/client/sync/client.py#L206-L221", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/Knuckles92/OpenWhisper/blob/9e83653df183096104769e302a3c907cb277c551/README.md" + "url": "https://github.com/typesafe-ai/typesafe-sdk-python/blob/2ce5c65f13646cab6e6f782328194c9d85f3300a/src/typesafe_sdk/_core/client/sync/client.py#L206-L221" }, "language": "Python", "license": "MIT", - "starsAtCapture": 187, + "starsAtCapture": 188, "summary": { - "en": "A dictation and meeting-notes app with optional Jev checks for topic changes, note-taker instructions and sensitive text.", - "zh": "语音听写与会议记录应用，可选用 Jev 检查话题变化、面向记录助手的指令和敏感文本。", - "ja": "オプションの JEV を備えたディクテーションと会議メモのアプリは、トピックの変更、メモを取る指示、機密テキストをチェックします。" + "en": "Official TypeSafe Python SDK with synchronous and asynchronous clients for Jev System One, plus question and answer types.", + "zh": "TypeSafe 官方 Python SDK，提供 Jev System One 的同步、异步客户端及问题和回答类型。", + "ja": "JEV System One の同期および非同期クライアントを備えた公式 TypeSafe Python SDK、および質問と回答のタイプ。" }, "decision": { - "en": "Makes bounded transcript judgments for checkpoints, note-taking actions or screening before remote text cleanup.", - "zh": "对转录片段做有边界的判断，辅助触发会议检查点、记录操作或远程文本清理前的筛查。", - "ja": "チェックポイント、メモを取るアクション、またはリモート テキスト クリーンアップ前のスクリーニングについて、制限されたトランスクリプトの判断を行います。" + "en": "system_one sends context and choice, score or yes/no questions to the API, then parses answers by question name.", + "zh": "system_one 将上下文与选择、评分或是非问题提交到 API，并按问题名称解析返回的回答。", + "ja": "system_one は、コンテキストと選択肢、スコア、またははい/いいえの質問を API に送信し、質問名で回答を解析します。" }, "verification": "source-reviewed", "runtimeVerified": false @@ -2596,7 +3214,7 @@ }, "language": "JavaScript", "license": "MIT", - "starsAtCapture": 185, + "starsAtCapture": 187, "summary": { "en": "A source-backed JEV directory plus a reusable JEV-only GitHub review workflow.", "zh": "有源码依据的 JEV 目录，并附带可复用的纯 JEV GitHub Review 工作流。", @@ -2611,87 +3229,57 @@ "runtimeVerified": false }, { - "id": "jeff", - "name": "Jeff", - "owner": "logan-markewich", - "category": "open-models", - "repoUrl": "https://github.com/logan-markewich/jeff", - "evidenceUrl": "https://github.com/logan-markewich/jeff/blob/34b32f99a727c47b679adde33f4702a001e02979/README.md", - "language": "Python", - "license": "MIT", - "starsAtCapture": 183, - "summary": { - "en": "A self-hosted Jev-compatible service powered by GliFormer.", - "zh": "基于 GliFormer、可自托管的 JEV 兼容服务。", - "ja": "GliFormer を利用したセルフホスト型の JEV 互換サービス。" - }, - "decision": { - "en": "Preserves the decision API while running the classifier locally.", - "zh": "保留简洁的决策 API，同时在本地运行分类器。", - "ja": "分類子をローカルで実行している間、意思決定 API を保持します。" - }, - "verification": "source-reviewed", - "runtimeVerified": false, - "source": { - "type": "x", - "label": "Original X case", - "url": "https://x.com/LoganMarkewich/status/2101142971223781587", - "author": "@LoganMarkewich", - "views": 29163 - } - }, - { - "id": "anotiawang-awesome-jev", - "name": "Awesome JEV (AnotiaWang)", - "owner": "AnotiaWang", - "category": "developer-tools", - "repoUrl": "https://github.com/AnotiaWang/awesome-jev", - "evidenceUrl": "https://github.com/AnotiaWang/awesome-jev/blob/04e65b59a936b2fed0d40eaec71a0a11e33bb422/README.md", + "id": "knuckles92:openwhisper", + "name": "OpenWhisper", + "owner": "Knuckles92", + "category": "interfaces", + "repoUrl": "https://github.com/Knuckles92/OpenWhisper", + "evidenceUrl": "https://github.com/Knuckles92/OpenWhisper/blob/9e83653df183096104769e302a3c907cb277c551/README.md", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/AnotiaWang/awesome-jev/blob/04e65b59a936b2fed0d40eaec71a0a11e33bb422/README.md" + "url": "https://github.com/Knuckles92/OpenWhisper/blob/9e83653df183096104769e302a3c907cb277c551/README.md" }, - "language": "", - "license": "CC0-1.0", - "starsAtCapture": 181, + "language": "Python", + "license": "MIT", + "starsAtCapture": 187, "summary": { - "en": "A curated list of JEV applications, libraries, and System One resources.", - "zh": "JEV 应用、类库与 System One 资源精选清单。", - "ja": "JEV アプリ、ライブラリ、System One 資料のキュレーション一覧。" + "en": "A dictation and meeting-notes app with optional Jev checks for topic changes, note-taker instructions and sensitive text.", + "zh": "语音听写与会议记录应用，可选用 Jev 检查话题变化、面向记录助手的指令和敏感文本。", + "ja": "オプションの JEV を備えたディクテーションと会議メモのアプリは、トピックの変更、メモを取る指示、機密テキストをチェックします。" }, "decision": { - "en": "Groups ecosystem resources so builders can compare implementation patterns.", - "zh": "整理生态资源，方便开发者比较不同实现模式。", - "ja": "エコシステム資料を整理し、実装パターンを比較しやすくします。" + "en": "Makes bounded transcript judgments for checkpoints, note-taking actions or screening before remote text cleanup.", + "zh": "对转录片段做有边界的判断，辅助触发会议检查点、记录操作或远程文本清理前的筛查。", + "ja": "チェックポイント、メモを取るアクション、またはリモート テキスト クリーンアップ前のスクリーニングについて、制限されたトランスクリプトの判断を行います。" }, "verification": "source-reviewed", "runtimeVerified": false }, { - "id": "decider", - "name": "Decider", - "owner": "Mapika", - "category": "open-models", - "repoUrl": "https://github.com/Mapika/decider", - "evidenceUrl": "https://github.com/Mapika/decider/blob/c4daaac28af9fea95d627015cffa2dd5a5926ee6/decider/__init__.py", + "id": "jev-codex-router", + "name": "JEV Codex Router", + "owner": "0xNatoshi", + "category": "routing-optimization", + "repoUrl": "https://github.com/0xNatoshi/jev-codex-router", + "evidenceUrl": "https://github.com/0xNatoshi/jev-codex-router/blob/8292b519659280884627a962c826ac7721136a64/server/jev_server.py", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/Mapika/decider/blob/c4daaac28af9fea95d627015cffa2dd5a5926ee6/decider/__init__.py" + "url": "https://github.com/0xNatoshi/jev-codex-router/blob/8292b519659280884627a962c826ac7721136a64/server/jev_server.py" }, "language": "Python", - "license": "Apache-2.0", - "starsAtCapture": 180, + "license": "MIT", + "starsAtCapture": 184, "summary": { - "en": "One-pass typed decisions with calibrated probabilities, fine-tuned from Qwen3.5-2B.", - "zh": "一次前向的类型化决策与校准概率，基于 Qwen3.5-2B 微调。", - "ja": "Qwen3.5-2B 微調整による、1 パスの型付き意思決定と校正確率。" + "en": "Uses Jev to classify each Codex turn, then applies local rules to choose the model, reasoning effort, and speed mode.", + "zh": "每轮先让 Jev 判断任务类型与难度，再由本地策略为 Codex 选模型、思考深度和速度档。", + "ja": "JEV で Codex の各ターンを分類し、ローカルルールに従ってモデル、推論強度、速度モードを選びます。" }, "decision": { - "en": "Returns local System One–style answers for Choice, Score, and yes/no style prompts.", - "zh": "对 Choice、Score 与是否类问题返回本地 System One 风格答案。", - "ja": "Choice / Score / 是否プロンプトにローカルな System One 風回答を返します。" + "en": "Classifies task difficulty and reasoning needs before local policy selects a model configuration.", + "zh": "对当前轮次的任务层级与推理需求分类，本地规则据此选择模型配置。", + "ja": "ローカルポリシーがモデル設定を選ぶ前に、タスクの難易度と必要な推論強度を分類します。" }, "verification": "source-reviewed", "runtimeVerified": false @@ -2710,7 +3298,7 @@ }, "language": "", "license": "MIT", - "starsAtCapture": 178, + "starsAtCapture": 177, "summary": { "en": "Interlinked adds optional Jev judgments and evidence checks to local coding-agent checks.", "zh": "Interlinked 在编程 Agent 的本地检查之外，提供可选 Jev 判断与证据检查。", @@ -2725,57 +3313,85 @@ "runtimeVerified": false }, { - "id": "typesafe-mcp", - "name": "TypeSafe MCP", - "owner": "itsmostafa", - "category": "developer-tools", - "repoUrl": "https://github.com/itsmostafa/typesafe-mcp", - "evidenceUrl": "https://github.com/itsmostafa/typesafe-mcp/blob/0c9f35d9b1859189fc7e7d01947061f311ca6dde/README.md", + "id": "kitze:unclutter", + "name": "Unclutter", + "owner": "kitze", + "category": "safety-review", + "repoUrl": "https://github.com/kitze/unclutter", + "evidenceUrl": "https://github.com/kitze/unclutter/blob/9ef9beccc1e57b4e3115ae68644b8fc9c19c29f6/lib/jev.ts", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/itsmostafa/typesafe-mcp/blob/0c9f35d9b1859189fc7e7d01947061f311ca6dde/README.md" + "url": "https://github.com/kitze/unclutter/blob/9ef9beccc1e57b4e3115ae68644b8fc9c19c29f6/lib/jev.ts" }, - "language": "Go", + "language": "TypeScript", "license": "MIT", - "starsAtCapture": 173, + "starsAtCapture": 176, "summary": { - "en": "An MCP server that lets Claude Code, Claude Desktop, Codex and Pi ask Jev typed questions.", - "zh": "让 Claude Code、Claude Desktop、Codex 和 Pi 通过 MCP 或扩展向 Jev 提问，获取结构化判断。", - "ja": "Claude Code、Claude Desktop、Codex、Pi から JEV へ型付き質問を送れる MCP サーバー。" + "en": "A browser extension using Jev to identify ads, promotions, and subscription popups and save reusable hiding rules.", + "zh": "用 Jev 帮浏览器扩展识别网页中的广告、促销与订阅弹窗，并保存可复用的隐藏规则。", + "ja": "JEV を使用して広告、プロモーション、購読ポップアップを識別し、再利用可能な非表示ルールを保存するブラウザ拡張機能。" }, "decision": { - "en": "Submits state and Choice, Score or Noul questions and returns structured answers with probabilities.", - "zh": "把状态和 Choice、Score、Noul 问题交给 Jev，返回答案与概率。", - "ja": "状態、選択、スコア、または Noul の質問を送信し、確率を含む構造化された回答を返します。" + "en": "Evaluates candidate page elements before the extension applies local hiding rules.", + "zh": "对候选页面元素做结构化判断，再由扩展应用本地隐藏规则。", + "ja": "拡張機能がローカルの非表示ルールを適用する前に、候補のページ要素を評価します。" }, "verification": "source-reviewed", "runtimeVerified": false }, { - "id": "typesafe-ai:typesafe-sdk-python", - "name": "TypeSafe SDK Python", - "owner": "typesafe-ai", - "category": "sdk-integrations", - "repoUrl": "https://github.com/typesafe-ai/typesafe-sdk-python", - "evidenceUrl": "https://github.com/typesafe-ai/typesafe-sdk-python/blob/2ce5c65f13646cab6e6f782328194c9d85f3300a/src/typesafe_sdk/_core/client/sync/client.py#L206-L221", + "id": "compact-adviser", + "name": "Compact Adviser", + "owner": "kunchenguid", + "category": "agent-workflows", + "repoUrl": "https://github.com/kunchenguid/compact-adviser", + "evidenceUrl": "https://github.com/kunchenguid/compact-adviser/blob/d1655faa16a22b68bff60c3d7deb0123e1e52a53/packages/codex-plugin/skills/compact-adviser/SKILL.md", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/typesafe-ai/typesafe-sdk-python/blob/2ce5c65f13646cab6e6f782328194c9d85f3300a/src/typesafe_sdk/_core/client/sync/client.py#L206-L221" + "url": "https://github.com/kunchenguid/compact-adviser/blob/d1655faa16a22b68bff60c3d7deb0123e1e52a53/packages/codex-plugin/skills/compact-adviser/SKILL.md" }, - "language": "Python", + "language": "TypeScript", "license": "MIT", - "starsAtCapture": 171, + "starsAtCapture": 173, "summary": { - "en": "Official TypeSafe Python SDK with synchronous and asynchronous clients for Jev System One, plus question and answer types.", - "zh": "TypeSafe 官方 Python SDK，提供 Jev System One 的同步、异步客户端及问题和回答类型。", - "ja": "JEV System One の同期および非同期クライアントを備えた公式 TypeSafe Python SDK、および質問と回答のタイプ。" + "en": "A coding-agent skill/plugin that advises when to compact context to save tokens.", + "zh": "编码 Agent 的 Skill/插件：建议何时压缩上下文以节省 token。", + "ja": "いつコンテキストを圧縮してトークンを節約するかを助言するコーディング Agent Skill。" }, "decision": { - "en": "system_one sends context and choice, score or yes/no questions to the API, then parses answers by question name.", - "zh": "system_one 将上下文与选择、评分或是非问题提交到 API，并按问题名称解析返回的回答。", - "ja": "system_one は、コンテキストと選択肢、スコア、またははい/いいえの質問を API に送信し、質問名で回答を解析します。" + "en": "Judges whether the session looks complete enough to compact safely.", + "zh": "判断当前会话是否已足够完整、可以安全压缩。", + "ja": "セッションが十分完了して安全に圧縮できるかを判断します。" + }, + "verification": "source-reviewed", + "runtimeVerified": false + }, + { + "id": "djev-spark", + "name": "djev-spark", + "owner": "mmastrac", + "category": "open-models", + "repoUrl": "https://github.com/mmastrac/djev-spark", + "evidenceUrl": "https://github.com/mmastrac/djev-spark/blob/1444f3e927f83ba508e5b28a4fd4fdd9ecd0976b/README.md", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/mmastrac/djev-spark/blob/1444f3e927f83ba508e5b28a4fd4fdd9ecd0976b/README.md" + }, + "language": "HTML", + "license": "Not declared", + "starsAtCapture": 168, + "summary": { + "en": "A DGX Spark container recipe for running DiffusionGemma NVFP4 structured decisions.", + "zh": "在 DGX Spark 上跑 DiffusionGemma NVFP4 结构化决策的容器配方。", + "ja": "DGX Spark 上で DiffusionGemma NVFP4 構造化意思決定を動かすコンテナレシピ。" + }, + "decision": { + "en": "Packages local diffusion decision serving so apps can query typed outcomes on-box.", + "zh": "把本地 diffusion 决策服务打包，供应用在机器上查询类型化结果。", + "ja": "ローカル diffusion 意思決定サービスを梱包し、箱内で型付き結果を問い合わせ可能にします。" }, "verification": "source-reviewed", "runtimeVerified": false @@ -2822,7 +3438,7 @@ }, "language": "TypeScript", "license": "Unknown", - "starsAtCapture": 162, + "starsAtCapture": 163, "summary": { "en": "A TypeSafe plugin exposing Jev decisions as callable actions in Runline Agent JavaScript.", "zh": "Runline 的 TypeSafe 插件，把 Jev 判断作为 Agent JavaScript 可调用的动作。", @@ -2837,169 +3453,141 @@ "runtimeVerified": false }, { - "id": "compact-adviser", - "name": "Compact Adviser", - "owner": "kunchenguid", - "category": "agent-workflows", - "repoUrl": "https://github.com/kunchenguid/compact-adviser", - "evidenceUrl": "https://github.com/kunchenguid/compact-adviser/blob/d1655faa16a22b68bff60c3d7deb0123e1e52a53/packages/codex-plugin/skills/compact-adviser/SKILL.md", + "id": "omnijev-awesome-gallery", + "name": "Awesome JEV Gallery", + "owner": "OmniJev", + "category": "developer-tools", + "repoUrl": "https://github.com/OmniJev/awesome-jev-gallery", + "evidenceUrl": "https://github.com/OmniJev/awesome-jev-gallery/blob/2b84d22ab0fb9e54098788955187feb023c40ab3/README.md", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/kunchenguid/compact-adviser/blob/d1655faa16a22b68bff60c3d7deb0123e1e52a53/packages/codex-plugin/skills/compact-adviser/SKILL.md" + "url": "https://github.com/OmniJev/awesome-jev-gallery/blob/2b84d22ab0fb9e54098788955187feb023c40ab3/README.md" }, - "language": "TypeScript", - "license": "MIT", - "starsAtCapture": 157, + "language": "JavaScript", + "license": "NOASSERTION", + "starsAtCapture": 159, "summary": { - "en": "A coding-agent skill/plugin that advises when to compact context to save tokens.", - "zh": "编码 Agent 的 Skill/插件：建议何时压缩上下文以节省 token。", - "ja": "いつコンテキストを圧縮してトークンを節約するかを助言するコーディング Agent Skill。" + "en": "A gallery of System One papers, open reproductions, and independent evaluations.", + "zh": "汇总 System One 论文、开放复现与独立评测的 Gallery。", + "ja": "System One の論文、オープン再現、独立評価を集めたギャラリー。" }, "decision": { - "en": "Judges whether the session looks complete enough to compact safely.", - "zh": "判断当前会话是否已足够完整、可以安全压缩。", - "ja": "セッションが十分完了して安全に圧縮できるかを判断します。" + "en": "Connects model implementations with research and evaluation evidence.", + "zh": "把模型实现与研究、评测证据关联起来。", + "ja": "モデル実装を研究および評価の根拠と結び付けます。" }, "verification": "source-reviewed", "runtimeVerified": false }, { - "id": "djev-spark", - "name": "djev-spark", - "owner": "mmastrac", - "category": "open-models", - "repoUrl": "https://github.com/mmastrac/djev-spark", - "evidenceUrl": "https://github.com/mmastrac/djev-spark/blob/1444f3e927f83ba508e5b28a4fd4fdd9ecd0976b/README.md", + "id": "standardagents:jevpilot", + "name": "Jevpilot", + "owner": "standardagents", + "category": "domain-tools", + "repoUrl": "https://github.com/standardagents/jevpilot", + "evidenceUrl": "https://github.com/standardagents/jevpilot/blob/e1beeb13b9a928fb76f167f86af584f4ce9cf180/README.md", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/mmastrac/djev-spark/blob/1444f3e927f83ba508e5b28a4fd4fdd9ecd0976b/README.md" + "url": "https://github.com/standardagents/jevpilot/blob/e1beeb13b9a928fb76f167f86af584f4ce9cf180/README.md" }, - "language": "HTML", - "license": "Not declared", - "starsAtCapture": 152, + "language": "JavaScript", + "license": "Unknown", + "starsAtCapture": 155, "summary": { - "en": "A DGX Spark container recipe for running DiffusionGemma NVFP4 structured decisions.", - "zh": "在 DGX Spark 上跑 DiffusionGemma NVFP4 结构化决策的容器配方。", - "ja": "DGX Spark 上で DiffusionGemma NVFP4 構造化意思決定を動かすコンテナレシピ。" + "en": "A browser driving simulator where Jev chooses among locally generated paths and speeds.", + "zh": "在浏览器里开一辆小车，让 Jev 从提前算好的路线和速度里选下一步。", + "ja": "JEV がローカルで生成されたパスと速度の中から選択するブラウザー運転シミュレーター。" }, "decision": { - "en": "Packages local diffusion decision serving so apps can query typed outcomes on-box.", - "zh": "把本地 diffusion 决策服务打包，供应用在机器上查询类型化结果。", - "ja": "ローカル diffusion 意思決定サービスを梱包し、箱内で型付き結果を問い合わせ可能にします。" + "en": "Jev reads road and traffic state and selects motion; geometry, collision prediction and braking remain local.", + "zh": "读取路况、附近车辆和候选轨迹，选择转向与速度；碰撞预测和紧急刹车由代码处理。", + "ja": "JEV は道路と交通の状態を読み取り、動きを選択します。ジオメトリ、衝突予測、ブレーキはローカルのままです。" }, "verification": "source-reviewed", "runtimeVerified": false }, { - "id": "kitze:unclutter", - "name": "Unclutter", - "owner": "kitze", - "category": "safety-review", - "repoUrl": "https://github.com/kitze/unclutter", - "evidenceUrl": "https://github.com/kitze/unclutter/blob/9ef9beccc1e57b4e3115ae68644b8fc9c19c29f6/lib/jev.ts", - "source": { - "type": "github", - "label": "GitHub source", - "url": "https://github.com/kitze/unclutter/blob/9ef9beccc1e57b4e3115ae68644b8fc9c19c29f6/lib/jev.ts" - }, - "language": "TypeScript", + "id": "heyjunpenn-awesome-jev", + "name": "Awesome JEV (HeyJunPenn)", + "owner": "heyjunpenn", + "category": "developer-tools", + "starsAtCapture": 148, + "language": "Astro", "license": "MIT", - "starsAtCapture": 152, "summary": { - "en": "A browser extension using Jev to identify ads, promotions, and subscription popups and save reusable hiding rules.", - "zh": "用 Jev 帮浏览器扩展识别网页中的广告、促销与订阅弹窗，并保存可复用的隐藏规则。", - "ja": "JEV を使用して広告、プロモーション、購読ポップアップを識別し、再利用可能な非表示ルールを保存するブラウザ拡張機能。" + "en": "A multilingual, community-maintained catalogue of open-source JEV projects.", + "zh": "社区维护的多语言 JEV 开源项目目录。", + "ja": "コミュニティ運営の多言語 JEV オープンソース・カタログ。" }, "decision": { - "en": "Evaluates candidate page elements before the extension applies local hiding rules.", - "zh": "对候选页面元素做结构化判断，再由扩展应用本地隐藏规则。", - "ja": "拡張機能がローカルの非表示ルールを適用する前に、候補のページ要素を評価します。" + "en": "Indexes implementations and integrations while retaining repository-level provenance for discovery.", + "zh": "索引实现与集成，并保留仓库级来源信息用于发现。", + "ja": "実装・連携を索引化し、発見用にリポジトリ単位の出典を保持します。" }, - "verification": "source-reviewed", - "runtimeVerified": false - }, - { - "id": "standardagents:jevpilot", - "name": "Jevpilot", - "owner": "standardagents", - "category": "domain-tools", - "repoUrl": "https://github.com/standardagents/jevpilot", - "evidenceUrl": "https://github.com/standardagents/jevpilot/blob/e1beeb13b9a928fb76f167f86af584f4ce9cf180/README.md", + "repoUrl": "https://github.com/heyjunpenn/awesome-jev", + "evidenceUrl": "https://github.com/heyjunpenn/awesome-jev/blob/eabb8446bdadd6744adce2e30871ef0691cf34e5/README.md", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/standardagents/jevpilot/blob/e1beeb13b9a928fb76f167f86af584f4ce9cf180/README.md" - }, - "language": "JavaScript", - "license": "Unknown", - "starsAtCapture": 143, - "summary": { - "en": "A browser driving simulator where Jev chooses among locally generated paths and speeds.", - "zh": "在浏览器里开一辆小车，让 Jev 从提前算好的路线和速度里选下一步。", - "ja": "JEV がローカルで生成されたパスと速度の中から選択するブラウザー運転シミュレーター。" - }, - "decision": { - "en": "Jev reads road and traffic state and selects motion; geometry, collision prediction and braking remain local.", - "zh": "读取路况、附近车辆和候选轨迹，选择转向与速度；碰撞预测和紧急刹车由代码处理。", - "ja": "JEV は道路と交通の状態を読み取り、動きを選択します。ジオメトリ、衝突予測、ブレーキはローカルのままです。" + "url": "https://github.com/heyjunpenn/awesome-jev/blob/eabb8446bdadd6744adce2e30871ef0691cf34e5/README.md" }, "verification": "source-reviewed", "runtimeVerified": false }, { - "id": "hackclub:ai", - "name": "AI", - "owner": "hackclub", - "category": "sdk-integrations", - "repoUrl": "https://github.com/hackclub/ai", - "evidenceUrl": "https://github.com/hackclub/ai/blob/a76ea2cb159f707a60107935a5b2e0dbdc7455f5/README.md", + "id": "billionsbobby-jevrouter", + "name": "JevRouter", + "owner": "BillionsBobby", + "category": "routing-optimization", + "repoUrl": "https://github.com/BillionsBobby/JevRouter", + "evidenceUrl": "https://github.com/BillionsBobby/JevRouter/blob/715970774ae8070e958e83ac9b1a780b32a9184c/src/provider.ts", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/hackclub/ai/blob/a76ea2cb159f707a60107935a5b2e0dbdc7455f5/README.md" + "url": "https://github.com/BillionsBobby/JevRouter/blob/715970774ae8070e958e83ac9b1a780b32a9184c/src/provider.ts" }, "language": "TypeScript", - "license": "Unknown", - "starsAtCapture": 133, + "license": "MIT", + "starsAtCapture": 145, "summary": { - "en": "A Jev forwarding endpoint in the Hack Club AI proxy, using its authentication, limits and usage logging.", - "zh": "Hack Club AI 代理中的 Jev 转发接口，复用已有鉴权、限额和用量记录。", - "ja": "Hack Club AI プロキシの JEV 転送エンドポイント。認証、制限、使用状況ログを使用します。" + "en": "A lightweight JEV router for models, tools, and subagents.", + "zh": "用于模型、工具与子 Agent 的轻量 JEV 路由器。", + "ja": "モデル、ツール、サブ Agent 向けの軽量 JEV ルーター。" }, "decision": { - "en": "Forwards authorized structured requests to TypeSafe and returns answers with usage accounting.", - "zh": "把获准用户的结构化请求转发到 TypeSafe，返回模型结果并记录用量。", - "ja": "承認された構造化リクエストを TypeSafe に転送し、使用量アカウンティングを含む回答を返します。" + "en": "Chooses a model, tool, or subagent from caller-supplied candidates.", + "zh": "从调用方提供的候选中选择模型、工具或子 Agent。", + "ja": "呼び出し側が与えた候補からモデル、ツール、サブ Agent を選びます。" }, "verification": "source-reviewed", "runtimeVerified": false }, { - "id": "omnijev-awesome-gallery", - "name": "Awesome JEV Gallery", - "owner": "OmniJev", - "category": "developer-tools", - "repoUrl": "https://github.com/OmniJev/awesome-jev-gallery", - "evidenceUrl": "https://github.com/OmniJev/awesome-jev-gallery/blob/2b84d22ab0fb9e54098788955187feb023c40ab3/README.md", + "id": "jev-pruner", + "name": "JEV Pruner", + "owner": "tamaratran", + "category": "agent-workflows", + "repoUrl": "https://github.com/tamaratran/jev-pruner", + "evidenceUrl": "https://github.com/tamaratran/jev-pruner/blob/47d017c34eab7690b95f075ce6f4839247c5dc0a/src/jev.ts", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/OmniJev/awesome-jev-gallery/blob/2b84d22ab0fb9e54098788955187feb023c40ab3/README.md" + "url": "https://github.com/tamaratran/jev-pruner/blob/47d017c34eab7690b95f075ce6f4839247c5dc0a/src/jev.ts" }, - "language": "JavaScript", - "license": "NOASSERTION", - "starsAtCapture": 131, + "language": "TypeScript", + "license": "MIT", + "starsAtCapture": 134, "summary": { - "en": "A gallery of System One papers, open reproductions, and independent evaluations.", - "zh": "汇总 System One 论文、开放复现与独立评测的 Gallery。", - "ja": "System One の論文、オープン再現、独立評価を集めたギャラリー。" + "en": "A Claude Code plugin that trims long Bash output with TypeSafe JEV before the model sees it.", + "zh": "Claude Code 插件：在模型看到长 Bash 输出前，用 TypeSafe JEV 裁剪。", + "ja": "長い Bash 出力をモデルに渡す前に TypeSafe JEV で刈り込む Claude Code プラグイン。" }, "decision": { - "en": "Connects model implementations with research and evaluation evidence.", - "zh": "把模型实现与研究、评测证据关联起来。", - "ja": "モデル実装を研究および評価の根拠と結び付けます。" + "en": "Decides which output slices stay useful versus safe to drop under a token budget.", + "zh": "在 token 预算下判断哪些输出片段仍有用、哪些可丢弃。", + "ja": "トークン予算の下で、残すべき出力断片と捨ててよい断片を判断します。" }, "verification": "source-reviewed", "runtimeVerified": false @@ -3018,7 +3606,7 @@ }, "language": "TypeScript", "license": "MIT", - "starsAtCapture": 131, + "starsAtCapture": 134, "summary": { "en": "A Pi extension that flags tool risks before execution and checks output for secrets and failure types.", "zh": "Pi 编码 Agent 扩展：执行前提示工具风险，执行后检查秘密泄露与失败类型。", @@ -3033,29 +3621,57 @@ "runtimeVerified": false }, { - "id": "jev-pruner", - "name": "JEV Pruner", - "owner": "tamaratran", - "category": "agent-workflows", - "repoUrl": "https://github.com/tamaratran/jev-pruner", - "evidenceUrl": "https://github.com/tamaratran/jev-pruner/blob/47d017c34eab7690b95f075ce6f4839247c5dc0a/src/jev.ts", + "id": "hackclub:ai", + "name": "AI", + "owner": "hackclub", + "category": "sdk-integrations", + "repoUrl": "https://github.com/hackclub/ai", + "evidenceUrl": "https://github.com/hackclub/ai/blob/a76ea2cb159f707a60107935a5b2e0dbdc7455f5/README.md", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/tamaratran/jev-pruner/blob/47d017c34eab7690b95f075ce6f4839247c5dc0a/src/jev.ts" + "url": "https://github.com/hackclub/ai/blob/a76ea2cb159f707a60107935a5b2e0dbdc7455f5/README.md" + }, + "language": "TypeScript", + "license": "Unknown", + "starsAtCapture": 133, + "summary": { + "en": "A Jev forwarding endpoint in the Hack Club AI proxy, using its authentication, limits and usage logging.", + "zh": "Hack Club AI 代理中的 Jev 转发接口，复用已有鉴权、限额和用量记录。", + "ja": "Hack Club AI プロキシの JEV 転送エンドポイント。認証、制限、使用状況ログを使用します。" + }, + "decision": { + "en": "Forwards authorized structured requests to TypeSafe and returns answers with usage accounting.", + "zh": "把获准用户的结构化请求转发到 TypeSafe，返回模型结果并记录用量。", + "ja": "承認された構造化リクエストを TypeSafe に転送し、使用量アカウンティングを含む回答を返します。" + }, + "verification": "source-reviewed", + "runtimeVerified": false + }, + { + "id": "devmortimer:pi-warden", + "name": "Pi Warden", + "owner": "DevMortimer", + "category": "safety-review", + "repoUrl": "https://github.com/DevMortimer/pi-warden", + "evidenceUrl": "https://github.com/DevMortimer/pi-warden/blob/e6c801679464b1a9624225114eb5fb443c27d823/src/guard.ts", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/DevMortimer/pi-warden/blob/e6c801679464b1a9624225114eb5fb443c27d823/src/guard.ts" }, "language": "TypeScript", "license": "MIT", - "starsAtCapture": 130, + "starsAtCapture": 132, "summary": { - "en": "A Claude Code plugin that trims long Bash output with TypeSafe JEV before the model sees it.", - "zh": "Claude Code 插件：在模型看到长 Bash 输出前，用 TypeSafe JEV 裁剪。", - "ja": "長い Bash 出力をモデルに渡す前に TypeSafe JEV で刈り込む Claude Code プラグイン。" + "en": "Adds checks for project rules, out-of-scope actions, repeated failures, and completion claims to Pi Agents.", + "zh": "给 Pi Agent 加项目规则、越界操作、重复失败和完成声明的检查。", + "ja": "プロジェクト ルール、範囲外のアクション、繰り返される失敗、完了要求のチェックを Pi エージェントに追加します。" }, "decision": { - "en": "Decides which output slices stay useful versus safe to drop under a token budget.", - "zh": "在 token 预算下判断哪些输出片段仍有用、哪些可丢弃。", - "ja": "トークン予算の下で、残すべき出力断片と捨ててよい断片を判断します。" + "en": "Uses Jev to judge rule violations, irreversible actions, and task drift, feeding results back to the Agent.", + "zh": "用 Jev 判断写入是否违反规则、操作是否不可逆或偏离任务，并把结果反馈到 Agent。", + "ja": "JEV を使用してルール違反、取り消し不能なアクション、タスクのドリフトを判断し、結果をエージェントにフィードバックします。" }, "verification": "source-reviewed", "runtimeVerified": false @@ -3089,57 +3705,113 @@ "runtimeVerified": false }, { - "id": "jev-codex-router", - "name": "JEV Codex Router", - "owner": "0xNatoshi", - "category": "routing-optimization", - "repoUrl": "https://github.com/0xNatoshi/jev-codex-router", - "evidenceUrl": "https://github.com/0xNatoshi/jev-codex-router/blob/8292b519659280884627a962c826ac7721136a64/server/jev_server.py", + "id": "arc-cua-typesafe", + "name": "Arc CUA · TypeSafe Policy", + "owner": "shhivv", + "category": "browser-computer-use", + "starsAtCapture": 127, + "language": "Python", + "license": "MIT", + "summary": { + "en": "A fast computer-use action layer with a TypeSafe policy implementation.", + "zh": "带 TypeSafe Policy 实现的高速 Computer Use 动作层。", + "ja": "TypeSafe Policy 実装を備えた高速 Computer Use アクション層。" + }, + "decision": { + "en": "Selects the next allowed UI action from observed state while the local harness owns execution.", + "zh": "根据观察状态选择下一步允许的 UI 动作，执行仍由本地 Harness 负责。", + "ja": "観測状態から次の許可済み UI 操作を選び、実行はローカル Harness が担います。" + }, + "repoUrl": "https://github.com/shhivv/arc-cua", + "evidenceUrl": "https://github.com/shhivv/arc-cua/blob/6d47ce6c906d7d8586d3553e277c1c3611c4f6af/src/arc_cua/policies/typesafe.py", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/0xNatoshi/jev-codex-router/blob/8292b519659280884627a962c826ac7721136a64/server/jev_server.py" + "url": "https://github.com/shhivv/arc-cua/blob/6d47ce6c906d7d8586d3553e277c1c3611c4f6af/src/arc_cua/policies/typesafe.py" }, - "language": "Python", - "license": "MIT", - "starsAtCapture": 125, + "verification": "source-reviewed", + "runtimeVerified": false + }, + { + "id": "hellogumbo-awesome-jev", + "name": "Awesome Jev", + "owner": "hellogumbo", + "category": "developer-tools", + "repoUrl": "https://github.com/hellogumbo/awesome-jev", + "evidenceUrl": "https://github.com/hellogumbo/awesome-jev/blob/e18fa74fa53e27395a074cf94c7a127e912fb090/data/projects.json", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/hellogumbo/awesome-jev/blob/e18fa74fa53e27395a074cf94c7a127e912fb090/data/projects.json" + }, + "language": "JavaScript", + "license": "CC0-1.0", + "starsAtCapture": 127, "summary": { - "en": "Uses Jev to classify each Codex turn, then applies local rules to choose the model, reasoning effort, and speed mode.", - "zh": "每轮先让 Jev 判断任务类型与难度，再由本地策略为 Codex 选模型、思考深度和速度档。", - "ja": "JEV で Codex の各ターンを分類し、ローカルルールに従ってモデル、推論強度、速度モードを選びます。" + "en": "The source catalogue behind awesomejev.com, covering repos, integrations, demos, and research.", + "zh": "awesomejev.com 的源数据目录，覆盖仓库、集成、演示与研究。", + "ja": "awesomejev.com の元カタログで、リポジトリ、連携、デモ、研究を収録。" }, "decision": { - "en": "Classifies task difficulty and reasoning needs before local policy selects a model configuration.", - "zh": "对当前轮次的任务层级与推理需求分类，本地规则据此选择模型配置。", - "ja": "ローカルポリシーがモデル設定を選ぶ前に、タスクの難易度と必要な推論強度を分類します。" + "en": "Indexes the wider ecosystem while separating repositories, sites, and articles.", + "zh": "索引更广的生态，并区分仓库、网站与文章。", + "ja": "広いエコシステムを索引化し、リポジトリ、サイト、記事を区別します。" }, "verification": "source-reviewed", "runtimeVerified": false }, { - "id": "billionsbobby-jevrouter", - "name": "JevRouter", - "owner": "BillionsBobby", - "category": "routing-optimization", - "repoUrl": "https://github.com/BillionsBobby/JevRouter", - "evidenceUrl": "https://github.com/BillionsBobby/JevRouter/blob/715970774ae8070e958e83ac9b1a780b32a9184c/src/provider.ts", + "id": "valentynkit-awesome-jev-typesafe", + "name": "Awesome JEV TypeSafe", + "owner": "valentynkit", + "category": "developer-tools", + "repoUrl": "https://github.com/valentynkit/awesome-jev-typesafe", + "evidenceUrl": "https://github.com/valentynkit/awesome-jev-typesafe/blob/7eec7360d502826b51d1c8862c9fd2d76eecf6e4/readme.md", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/BillionsBobby/JevRouter/blob/715970774ae8070e958e83ac9b1a780b32a9184c/src/provider.ts" + "url": "https://github.com/valentynkit/awesome-jev-typesafe/blob/7eec7360d502826b51d1c8862c9fd2d76eecf6e4/readme.md" }, - "language": "TypeScript", - "license": "MIT", + "language": "JavaScript", + "license": "CC0-1.0", "starsAtCapture": 125, "summary": { - "en": "A lightweight JEV router for models, tools, and subagents.", - "zh": "用于模型、工具与子 Agent 的轻量 JEV 路由器。", - "ja": "モデル、ツール、サブ Agent 向けの軽量 JEV ルーター。" + "en": "A TypeSafe JEV resource list centered on typed, confidence-aware decisions.", + "zh": "围绕类型化、置信度感知决策整理的 TypeSafe JEV 资源列表。", + "ja": "型付きで信頼度を扱う判断を中心にした TypeSafe JEV 資料一覧。" }, "decision": { - "en": "Chooses a model, tool, or subagent from caller-supplied candidates.", - "zh": "从调用方提供的候选中选择模型、工具或子 Agent。", - "ja": "呼び出し側が与えた候補からモデル、ツール、サブ Agent を選びます。" + "en": "Maps resources to Choice, Score, Noul, and integration patterns.", + "zh": "把资源映射到 Choice、Score、Noul 与集成模式。", + "ja": "資料を Choice、Score、Noul、連携パターンに対応付けます。" + }, + "verification": "source-reviewed", + "runtimeVerified": false + }, + { + "id": "llm2jev", + "name": "LLM2Jev", + "owner": "Yinsongxu", + "category": "open-models", + "starsAtCapture": 125, + "language": "Python", + "license": "Apache-2.0", + "summary": { + "en": "An adapter that turns local language models into JEV-compatible structured decision engines.", + "zh": "把本地语言模型转成 JEV 兼容结构化决策引擎的适配器。", + "ja": "ローカル言語モデルを JEV 互換の構造化判断エンジンへ変換するアダプタ。" + }, + "decision": { + "en": "Uses prefill-only binary inference to produce Choice, Score, and Noul probabilities.", + "zh": "通过仅预填充的二元推理生成 Choice、Score 与 Noul 概率。", + "ja": "prefill のみの二値推論で Choice・Score・Noul の確率を生成します。" + }, + "repoUrl": "https://github.com/Yinsongxu/LLM2Jev", + "evidenceUrl": "https://github.com/Yinsongxu/LLM2Jev/blob/6fbbf74fc604f92fc9b0b67f0989157bb2908229/src/llm2jev/inference/binary.py", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/Yinsongxu/LLM2Jev/blob/6fbbf74fc604f92fc9b0b67f0989157bb2908229/src/llm2jev/inference/binary.py" }, "verification": "source-reviewed", "runtimeVerified": false @@ -3153,7 +3825,7 @@ "evidenceUrl": "https://github.com/uehaj/jev-semgrep/blob/ba6ef50f85d0c5d6caa4db102ee4db4a08c85dd2/README.md", "language": "JavaScript", "license": "Not declared", - "starsAtCapture": 122, + "starsAtCapture": 124, "summary": { "en": "Meaning-based grep with multilingual AND, OR, NOT, and probability thresholds.", "zh": "支持跨语言 AND、OR、NOT 与概率阈值的“按意思搜索”grep。", @@ -3184,48 +3856,76 @@ "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/danieljvdm/effect-agent/blob/88005e497e9b627eeb16d670f278903c57601da9/README.md" + "url": "https://github.com/danieljvdm/effect-agent/blob/88005e497e9b627eeb16d670f278903c57601da9/README.md" + }, + "language": "TypeScript", + "license": "MIT", + "starsAtCapture": 121, + "summary": { + "en": "An Effect Agent TypeSafe decision provider for typed question sets and optional model selection.", + "zh": "Effect Agent 的 TypeSafe 决策 provider，支持类型化问题集与可选模型选择。", + "ja": "型付き質問セットと任意のモデル選択に対応する、Effect Agent 向け TypeSafe 意思決定プロバイダー。" + }, + "decision": { + "en": "Jev answers probability, choice and score questions for application transitions or model selection.", + "zh": "Jev 回答概率、选择和评分问题，应用按结果执行状态转换或选择模型。", + "ja": "JEV は、アプリケーションの移行やモデルの選択に関する確率、選択、スコアの質問に答えます。" + }, + "verification": "source-reviewed", + "runtimeVerified": false + }, + { + "id": "dasheng-jev-reading", + "name": "Dasheng", + "owner": "wquguru", + "category": "domain-tools", + "repoUrl": "https://github.com/wquguru/dasheng", + "evidenceUrl": "https://github.com/wquguru/dasheng/blob/1bacff4a075527e6c02da242a72d117e7cb3286b/lib/jev.js", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/wquguru/dasheng/blob/1bacff4a075527e6c02da242a72d117e7cb3286b/lib/jev.js" }, - "language": "TypeScript", - "license": "MIT", - "starsAtCapture": 121, + "language": "JavaScript", + "license": "Unknown", + "starsAtCapture": 119, "summary": { - "en": "An Effect Agent TypeSafe decision provider for typed question sets and optional model selection.", - "zh": "Effect Agent 的 TypeSafe 决策 provider，支持类型化问题集与可选模型选择。", - "ja": "型付き質問セットと任意のモデル選択に対応する、Effect Agent 向け TypeSafe 意思決定プロバイダー。" + "en": "A reading-practice app that combines streaming ASR with per-word JEV judgments.", + "zh": "把流式 ASR 与 JEV 逐词判断结合的朗读练习应用。", + "ja": "ストリーミング ASR と単語ごとの JEV 判断を組み合わせた音読練習アプリ。" }, "decision": { - "en": "Jev answers probability, choice and score questions for application transitions or model selection.", - "zh": "Jev 回答概率、选择和评分问题，应用按结果执行状态转换或选择模型。", - "ja": "JEV は、アプリケーションの移行やモデルの選択に関する確率、選択、スコアの質問に答えます。" + "en": "Judges word matches, error classes, and sentence similarity from aligned text.", + "zh": "根据对齐文本判断单词匹配、错误类别与句子相似度。", + "ja": "整列済みテキストから単語一致、誤り分類、文の類似度を判断します。" }, "verification": "source-reviewed", "runtimeVerified": false }, { - "id": "devmortimer:pi-warden", - "name": "Pi Warden", - "owner": "DevMortimer", - "category": "safety-review", - "repoUrl": "https://github.com/DevMortimer/pi-warden", - "evidenceUrl": "https://github.com/DevMortimer/pi-warden/blob/e6c801679464b1a9624225114eb5fb443c27d823/src/guard.ts", + "id": "romanslack:jev-drone", + "name": "JEV Drone", + "owner": "RomanSlack", + "category": "domain-tools", + "repoUrl": "https://github.com/RomanSlack/jev-drone", + "evidenceUrl": "https://github.com/RomanSlack/jev-drone/blob/cbeb53ce4f17a06ea490ae43effcdad231143610/tactics.py#L184", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/DevMortimer/pi-warden/blob/e6c801679464b1a9624225114eb5fb443c27d823/src/guard.ts" + "url": "https://github.com/RomanSlack/jev-drone/blob/cbeb53ce4f17a06ea490ae43effcdad231143610/tactics.py#L184" }, - "language": "TypeScript", + "language": "Python", "license": "MIT", - "starsAtCapture": 118, + "starsAtCapture": 119, "summary": { - "en": "Adds checks for project rules, out-of-scope actions, repeated failures, and completion claims to Pi Agents.", - "zh": "给 Pi Agent 加项目规则、越界操作、重复失败和完成声明的检查。", - "ja": "プロジェクト ルール、範囲外のアクション、繰り返される失敗、完了要求のチェックを Pi エージェントに追加します。" + "en": "A MuJoCo drone experiment deriving scene features from camera buffers for Jev tactical advice.", + "zh": "MuJoCo 无人机仿真实验：从相机缓冲区提取场景，Jev 提供战术动作建议。", + "ja": "JEV 戦術的なアドバイスのためにカメラ バッファーからシーンの特徴を導出する MuJoCo ドローン実験。" }, "decision": { - "en": "Uses Jev to judge rule violations, irreversible actions, and task drift, feeding results back to the Agent.", - "zh": "用 Jev 判断写入是否违反规则、操作是否不可逆或偏离任务，并把结果反馈到 Agent。", - "ja": "JEV を使用してルール違反、取り消し不能なアクション、タスクのドリフトを判断し、結果をエージェントにフィードバックします。" + "en": "Uses range sectors, obstacle heights and target state to choose maneuvers and assess risk or target loss.", + "zh": "根据距离扇区、障碍高度与目标状态选择机动、评估风险和目标丢失状态。", + "ja": "範囲セクター、障害物の高さ、目標の状態を使用して、操縦を選択し、リスクや目標の損失を評価します。" }, "verification": "source-reviewed", "runtimeVerified": false @@ -3259,57 +3959,87 @@ "runtimeVerified": false }, { - "id": "valentynkit-awesome-jev-typesafe", - "name": "Awesome JEV TypeSafe", - "owner": "valentynkit", + "id": "jev-gateway", + "name": "jev-gateway", + "owner": "vinilana", + "category": "agent-workflows", + "repoUrl": "https://github.com/vinilana/jev-gateway", + "evidenceUrl": "https://github.com/vinilana/jev-gateway/blob/9463952bf118773fb955427d2725a98f76546233/README.md", + "language": "TypeScript", + "license": "MIT", + "starsAtCapture": 115, + "summary": { + "en": "A gateway for inserting Jev decisions into Claude Code and Codex tool flows.", + "zh": "把 JEV 判断接入 Claude Code 与 Codex 工具流程的网关。", + "ja": "JEV 決定を Claude Code および Codex ツール フローに挿入するためのゲートウェイ。" + }, + "decision": { + "en": "Delegates bounded tool-choice judgments while the coding agent owns the broader task.", + "zh": "把有限的工具选择判断分离出来，完整任务仍由编码 Agent 负责。", + "ja": "コーディングエージェントがより広範なタスクを所有する一方で、限定されたツール選択の判断を委任します。" + }, + "verification": "source-reviewed", + "runtimeVerified": false, + "source": { + "type": "x", + "label": "Original X case", + "url": "https://x.com/oviniciuslana/status/2101057880640127230", + "author": "@oviniciuslana", + "views": 53439 + } + }, + { + "id": "stanley-code-jev", + "name": "Stanley Code", + "owner": "devagrawal09", "category": "developer-tools", - "repoUrl": "https://github.com/valentynkit/awesome-jev-typesafe", - "evidenceUrl": "https://github.com/valentynkit/awesome-jev-typesafe/blob/7eec7360d502826b51d1c8862c9fd2d76eecf6e4/readme.md", + "repoUrl": "https://github.com/devagrawal09/stanley-code", + "evidenceUrl": "https://github.com/devagrawal09/stanley-code/blob/fd092558ebea389c81d44f9b10e826d9a72afaa3/src/adapters/jev.ts", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/valentynkit/awesome-jev-typesafe/blob/7eec7360d502826b51d1c8862c9fd2d76eecf6e4/readme.md" + "url": "https://github.com/devagrawal09/stanley-code/blob/fd092558ebea389c81d44f9b10e826d9a72afaa3/src/adapters/jev.ts" }, - "language": "JavaScript", - "license": "CC0-1.0", - "starsAtCapture": 115, + "language": "TypeScript", + "license": "MIT", + "starsAtCapture": 111, "summary": { - "en": "A TypeSafe JEV resource list centered on typed, confidence-aware decisions.", - "zh": "围绕类型化、置信度感知决策整理的 TypeSafe JEV 资源列表。", - "ja": "型付きで信頼度を扱う判断を中心にした TypeSafe JEV 資料一覧。" + "en": "Bounded JEV workflows for coding agents with a dedicated adapter.", + "zh": "为编码 Agent 提供带专用适配器的有限 JEV 工作流。", + "ja": "専用アダプターを備えたコーディング Agent 向けの限定 JEV ワークフロー。" }, "decision": { - "en": "Maps resources to Choice, Score, Noul, and integration patterns.", - "zh": "把资源映射到 Choice、Score、Noul 与集成模式。", - "ja": "資料を Choice、Score、Noul、連携パターンに対応付けます。" + "en": "Turns review and coding checkpoints into typed JEV judgments.", + "zh": "把审查与编码检查点转成类型化 JEV 判断。", + "ja": "レビューとコーディングのチェックポイントを型付き JEV 判断に変換します。" }, "verification": "source-reviewed", "runtimeVerified": false }, { - "id": "hellogumbo-awesome-jev", - "name": "Awesome Jev", - "owner": "hellogumbo", - "category": "developer-tools", - "repoUrl": "https://github.com/hellogumbo/awesome-jev", - "evidenceUrl": "https://github.com/hellogumbo/awesome-jev/blob/e18fa74fa53e27395a074cf94c7a127e912fb090/data/projects.json", + "id": "reflex-open-decision-model", + "name": "Reflex", + "owner": "kshetrajna12", + "category": "open-models", + "repoUrl": "https://github.com/kshetrajna12/reflex", + "evidenceUrl": "https://github.com/kshetrajna12/reflex/blob/e21b3b23afdfeee7021a6604fa38f57e7ff5187f/README.md", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/hellogumbo/awesome-jev/blob/e18fa74fa53e27395a074cf94c7a127e912fb090/data/projects.json" + "url": "https://github.com/kshetrajna12/reflex/blob/e21b3b23afdfeee7021a6604fa38f57e7ff5187f/README.md" }, - "language": "JavaScript", - "license": "CC0-1.0", - "starsAtCapture": 109, + "language": "Python", + "license": "MIT", + "starsAtCapture": 110, "summary": { - "en": "The source catalogue behind awesomejev.com, covering repos, integrations, demos, and research.", - "zh": "awesomejev.com 的源数据目录，覆盖仓库、集成、演示与研究。", - "ja": "awesomejev.com の元カタログで、リポジトリ、連携、デモ、研究を収録。" + "en": "A small open decision model that recreates the JEV/System One interface on Qwen.", + "zh": "在 Qwen 上复现 JEV/System One 接口的小型开放决策模型。", + "ja": "Qwen 上で JEV/System One インターフェースを再現する小型オープン判断モデル。" }, "decision": { - "en": "Indexes the wider ecosystem while separating repositories, sites, and articles.", - "zh": "索引更广的生态，并区分仓库、网站与文章。", - "ja": "広いエコシステムを索引化し、リポジトリ、サイト、記事を区別します。" + "en": "Returns calibrated probabilities for state plus typed questions.", + "zh": "对状态与类型化问题返回校准概率。", + "ja": "状態と型付き質問に対して較正済み確率を返します。" }, "verification": "source-reviewed", "runtimeVerified": false @@ -3328,7 +4058,7 @@ }, "language": "Rust", "license": "NOASSERTION", - "starsAtCapture": 107, + "starsAtCapture": 109, "summary": { "en": "A Rust CLI that ranks agent skills against live session context with JEV.", "zh": "用 JEV 根据实时会话上下文排序 Agent Skills 的 Rust CLI。", @@ -3342,34 +4072,6 @@ "verification": "source-reviewed", "runtimeVerified": false }, - { - "id": "stanley-code-jev", - "name": "Stanley Code", - "owner": "devagrawal09", - "category": "developer-tools", - "repoUrl": "https://github.com/devagrawal09/stanley-code", - "evidenceUrl": "https://github.com/devagrawal09/stanley-code/blob/fd092558ebea389c81d44f9b10e826d9a72afaa3/src/adapters/jev.ts", - "source": { - "type": "github", - "label": "GitHub source", - "url": "https://github.com/devagrawal09/stanley-code/blob/fd092558ebea389c81d44f9b10e826d9a72afaa3/src/adapters/jev.ts" - }, - "language": "TypeScript", - "license": "MIT", - "starsAtCapture": 106, - "summary": { - "en": "Bounded JEV workflows for coding agents with a dedicated adapter.", - "zh": "为编码 Agent 提供带专用适配器的有限 JEV 工作流。", - "ja": "専用アダプターを備えたコーディング Agent 向けの限定 JEV ワークフロー。" - }, - "decision": { - "en": "Turns review and coding checkpoints into typed JEV judgments.", - "zh": "把审查与编码检查点转成类型化 JEV 判断。", - "ja": "レビューとコーディングのチェックポイントを型付き JEV 判断に変換します。" - }, - "verification": "source-reviewed", - "runtimeVerified": false - }, { "id": "vinilana:jev-eval-agent", "name": "JEV Eval Agent", @@ -3384,7 +4086,7 @@ }, "language": "HTML", "license": "Unknown", - "starsAtCapture": 99, + "starsAtCapture": 103, "summary": { "en": "Agent tool evaluation harness comparing standard LLM tool selection against Jev routing across 100 mocked tools.", "zh": "智能体工具选择基准测试平台，在包含 100 个模拟工具的个人助理环境下对比大模型直接选工具与 Jev 路由的效率。", @@ -3412,156 +4114,72 @@ }, "language": "Rust", "license": "MIT", - "starsAtCapture": 98, + "starsAtCapture": 99, "summary": { "en": "A CLI and MCP client for benefit claims with optional JEV receipt classification.", "zh": "支持可选 JEV 收据分类的福利报销 CLI 与 MCP 客户端。", "ja": "任意の JEV レシート分類を備えた福利厚生申請 CLI / MCP クライアント。" }, "decision": { - "en": "Selects the benefit and receipt category, falling back when confidence is low.", - "zh": "选择福利与收据类别，置信度不足时回退。", - "ja": "福利厚生とレシートのカテゴリを選び、信頼度が低い場合はフォールバックします。" - }, - "verification": "source-reviewed", - "runtimeVerified": false - }, - { - "id": "romanslack:jev-drone", - "name": "JEV Drone", - "owner": "RomanSlack", - "category": "domain-tools", - "repoUrl": "https://github.com/RomanSlack/jev-drone", - "evidenceUrl": "https://github.com/RomanSlack/jev-drone/blob/cbeb53ce4f17a06ea490ae43effcdad231143610/tactics.py#L184", - "source": { - "type": "github", - "label": "GitHub source", - "url": "https://github.com/RomanSlack/jev-drone/blob/cbeb53ce4f17a06ea490ae43effcdad231143610/tactics.py#L184" - }, - "language": "Python", - "license": "MIT", - "starsAtCapture": 96, - "summary": { - "en": "A MuJoCo drone experiment deriving scene features from camera buffers for Jev tactical advice.", - "zh": "MuJoCo 无人机仿真实验：从相机缓冲区提取场景，Jev 提供战术动作建议。", - "ja": "JEV 戦術的なアドバイスのためにカメラ バッファーからシーンの特徴を導出する MuJoCo ドローン実験。" - }, - "decision": { - "en": "Uses range sectors, obstacle heights and target state to choose maneuvers and assess risk or target loss.", - "zh": "根据距离扇区、障碍高度与目标状态选择机动、评估风险和目标丢失状态。", - "ja": "範囲セクター、障害物の高さ、目標の状態を使用して、操縦を選択し、リスクや目標の損失を評価します。" - }, - "verification": "source-reviewed", - "runtimeVerified": false - }, - { - "id": "reflex-open-decision-model", - "name": "Reflex", - "owner": "kshetrajna12", - "category": "open-models", - "repoUrl": "https://github.com/kshetrajna12/reflex", - "evidenceUrl": "https://github.com/kshetrajna12/reflex/blob/e21b3b23afdfeee7021a6604fa38f57e7ff5187f/README.md", - "source": { - "type": "github", - "label": "GitHub source", - "url": "https://github.com/kshetrajna12/reflex/blob/e21b3b23afdfeee7021a6604fa38f57e7ff5187f/README.md" - }, - "language": "Python", - "license": "MIT", - "starsAtCapture": 91, - "summary": { - "en": "A small open decision model that recreates the JEV/System One interface on Qwen.", - "zh": "在 Qwen 上复现 JEV/System One 接口的小型开放决策模型。", - "ja": "Qwen 上で JEV/System One インターフェースを再現する小型オープン判断モデル。" - }, - "decision": { - "en": "Returns calibrated probabilities for state plus typed questions.", - "zh": "对状态与类型化问题返回校准概率。", - "ja": "状態と型付き質問に対して較正済み確率を返します。" - }, - "verification": "source-reviewed", - "runtimeVerified": false - }, - { - "id": "rokcso:bluenoise", - "name": "Bluenoise", - "owner": "rokcso", - "category": "agent-workflows", - "repoUrl": "https://github.com/rokcso/bluenoise", - "evidenceUrl": "https://github.com/rokcso/bluenoise/blob/ef81ea7a7c3677501d6de8f9235a4d6a866b573a/entrypoints/background.ts", - "source": { - "type": "github", - "label": "GitHub source", - "url": "https://github.com/rokcso/bluenoise/blob/ef81ea7a7c3677501d6de8f9235a4d6a866b573a/entrypoints/background.ts" - }, - "language": "TypeScript", - "license": "MIT", - "starsAtCapture": 90, - "summary": { - "en": "An X/Twitter filtering extension using local rules by default, with optional Jev checks for unmatched replies.", - "zh": "为 X/Twitter 过滤帖子与回复的浏览器扩展；默认用本地规则，可选择用 Jev 检查未匹配的回复。", - "ja": "デフォルトでローカル ルールを使用する X/Twitter フィルタリング拡張機能。オプションで JEV が一致しない返信をチェックします。" - }, - "decision": { - "en": "When experimental AI is enabled, Jev evaluates replies missed by rules and local thresholds decide whether to hide them.", - "zh": "启用实验性 AI 后，将未命中规则的回复交给 Jev 评估，再由本地阈值决定是否隐藏。", - "ja": "実験的な AI が有効になっている場合、JEV はルールによって見逃された応答を評価し、ローカルのしきい値によってそれらを非表示にするかどうかを決定します。" + "en": "Selects the benefit and receipt category, falling back when confidence is low.", + "zh": "选择福利与收据类别，置信度不足时回退。", + "ja": "福利厚生とレシートのカテゴリを選び、信頼度が低い場合はフォールバックします。" }, "verification": "source-reviewed", "runtimeVerified": false }, { - "id": "dasheng-jev-reading", - "name": "Dasheng", - "owner": "wquguru", - "category": "domain-tools", - "repoUrl": "https://github.com/wquguru/dasheng", - "evidenceUrl": "https://github.com/wquguru/dasheng/blob/1bacff4a075527e6c02da242a72d117e7cb3286b/lib/jev.js", + "id": "mrnugget:jev-shell-history", + "name": "JEV Shell History", + "owner": "mrnugget", + "category": "developer-tools", + "repoUrl": "https://github.com/mrnugget/jev-shell-history", + "evidenceUrl": "https://github.com/mrnugget/jev-shell-history/blob/4b2b75d26c0ccf5726263904514a22a8e11659ea/src/suggest.ts#L1-L196", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/wquguru/dasheng/blob/1bacff4a075527e6c02da242a72d117e7cb3286b/lib/jev.js" + "url": "https://github.com/mrnugget/jev-shell-history/blob/4b2b75d26c0ccf5726263904514a22a8e11659ea/src/suggest.ts#L1-L196" }, - "language": "JavaScript", + "language": "TypeScript", "license": "Unknown", - "starsAtCapture": 90, + "starsAtCapture": 96, "summary": { - "en": "A reading-practice app that combines streaming ASR with per-word JEV judgments.", - "zh": "把流式 ASR 与 JEV 逐词判断结合的朗读练习应用。", - "ja": "ストリーミング ASR と単語ごとの JEV 判断を組み合わせた音読練習アプリ。" + "en": "Fish-style Zsh history suggestion tool ranked by Jev, ordering candidate commands from local history based on context.", + "zh": "类似于 Fish 终端样式的 Zsh 历史命令建议工具，利用 Jev 对已有历史记录根据当前上下文进行智能打分排序。", + "ja": "JEV によってランク付けされた Fish スタイルの Zsh 履歴提案ツール。コンテキストに基づいてローカル履歴から候補コマンドを順序付けします。" }, "decision": { - "en": "Judges word matches, error classes, and sentence similarity from aligned text.", - "zh": "根据对齐文本判断单词匹配、错误类别与句子相似度。", - "ja": "整列済みテキストから単語一致、誤り分類、文の類似度を判断します。" + "en": "Packages current command input and historical candidates into a Jev request, ranking the most plausible command for inline suggestion.", + "zh": "将当前敲入的命令前缀与本地 Zsh 历史候选组装为 Jev 请求，由 Jev 评估最佳补全项，仅做行内建议而不自动执行。", + "ja": "現在のコマンド入力と過去の候補を JEV リクエストにパッケージ化し、インライン提案として最も妥当なコマンドをランク​​付けします。" }, "verification": "source-reviewed", "runtimeVerified": false }, { - "id": "pithings:advocaat", - "name": "Advocaat", - "owner": "pithings", - "category": "sdk-integrations", - "repoUrl": "https://github.com/pithings/advocaat", - "evidenceUrl": "https://github.com/pithings/advocaat/blob/bc46287fc1102b95852a81d679c6e34a2c44f4a2/README.md", + "id": "aowang-jev-trade", + "name": "JEV Trade", + "owner": "aowang-ai", + "category": "domain-tools", + "repoUrl": "https://github.com/aowang-ai/jev-trade", + "evidenceUrl": "https://github.com/aowang-ai/jev-trade/blob/df2c9656324a8a75996eb0612de7adcfe3ce6f89/src/model.ts", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/pithings/advocaat/blob/bc46287fc1102b95852a81d679c6e34a2c44f4a2/README.md" + "url": "https://github.com/aowang-ai/jev-trade/blob/df2c9656324a8a75996eb0612de7adcfe3ce6f89/src/model.ts" }, "language": "TypeScript", - "license": "MIT", - "starsAtCapture": 88, + "license": "NOASSERTION", + "starsAtCapture": 95, "summary": { - "en": "A small TypeScript client for asking Jev multiple typed questions about the same data.", - "zh": "用简短的 TypeScript 调用向 Jev 提问。把同一份数据里的多个判断一次写好，直接拿到概率、选项和分数。", - "ja": "同じデータについて複数の型付き質問を JEV に送るための、小さな TypeScript クライアント。" + "en": "A live Hyperliquid trading agent with JEV as a bounded decision layer.", + "zh": "以 JEV 作为有限决策层的 Hyperliquid 实盘交易 Agent。", + "ja": "JEV を限定判断レイヤーに使う Hyperliquid ライブ取引 Agent。" }, "decision": { - "en": "Combines yes/no, Choice and Score questions and maps responses to typed values.", - "zh": "将带类型的问题转成 System One 请求，并把命名答案映射回调用方。", - "ja": "Noul、Choice、Score の質問を組み合わせ、回答を型付きの値へ変換します。" + "en": "Chooses among configured trading actions from market and position state.", + "zh": "根据市场与持仓状态，从配置的交易动作中选择。", + "ja": "市場とポジション状態から設定済み取引操作を選びます。" }, "verification": "source-reviewed", "runtimeVerified": false @@ -3580,7 +4198,7 @@ }, "language": "Rust", "license": "MIT", - "starsAtCapture": 85, + "starsAtCapture": 94, "summary": { "en": "A code-quality and coverage tool that uses JEV for bounded quality checks.", "zh": "使用 JEV 做有限质量检查的代码质量与覆盖率工具。", @@ -3608,7 +4226,7 @@ }, "language": "Python", "license": "Unknown", - "starsAtCapture": 82, + "starsAtCapture": 91, "summary": { "en": "An open JEV-style implementation with custom fine-tuning support.", "zh": "支持自定义微调的开放 JEV 风格实现。", @@ -3623,85 +4241,57 @@ "runtimeVerified": false }, { - "id": "giuliosmall:pg_typesafe", - "name": "Pg TypeSafe", - "owner": "giuliosmall", - "category": "search-data", - "repoUrl": "https://github.com/giuliosmall/pg_typesafe", - "evidenceUrl": "https://github.com/giuliosmall/pg_typesafe/blob/4b5bfc1df11b18c3f07bb10804eeb47e4508ec6a/typesafe.c", + "id": "rokcso:bluenoise", + "name": "Bluenoise", + "owner": "rokcso", + "category": "agent-workflows", + "repoUrl": "https://github.com/rokcso/bluenoise", + "evidenceUrl": "https://github.com/rokcso/bluenoise/blob/ef81ea7a7c3677501d6de8f9235a4d6a866b573a/entrypoints/background.ts", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/giuliosmall/pg_typesafe/blob/4b5bfc1df11b18c3f07bb10804eeb47e4508ec6a/typesafe.c" + "url": "https://github.com/rokcso/bluenoise/blob/ef81ea7a7c3677501d6de8f9235a4d6a866b573a/entrypoints/background.ts" }, - "language": "C", + "language": "TypeScript", "license": "MIT", - "starsAtCapture": 81, - "summary": { - "en": "A pre-alpha PostgreSQL C extension for calling Jev from SQL for classification, yes/no judgments, and scoring.", - "zh": "一个预览阶段的 PostgreSQL C 扩展，让 SQL 直接调用 Jev 做分类、是非判断和评分。", - "ja": "分類、はい/いいえの判断、スコアリングのために SQL から JEV を呼び出すためのプレアルファ版の PostgreSQL C 拡張機能。" - }, - "decision": { - "en": "Converts SQL input into System One requests and returns answers through database functions.", - "zh": "将 SQL 输入转换为 System One 请求，并把答案返回给数据库函数。", - "ja": "SQL 入力を System One リクエストに変換し、データベース関数を通じて回答を返します。" - }, - "verification": "source-reviewed", - "runtimeVerified": false - }, - { - "id": "trungdq88:youtube-sponsor-detection", - "name": "Youtube Sponsor Detection", - "owner": "trungdq88", - "category": "interfaces", - "repoUrl": "https://github.com/trungdq88/youtube-sponsor-detection", - "evidenceUrl": "https://github.com/trungdq88/youtube-sponsor-detection/blob/de01f0568d043035889a296a61ce21e0accc8b16/extension/lib/jev.js#L1-L541", - "source": { - "type": "github", - "label": "GitHub source", - "url": "https://github.com/trungdq88/youtube-sponsor-detection/blob/de01f0568d043035889a296a61ce21e0accc8b16/extension/lib/jev.js#L1-L541" - }, - "language": "JavaScript", - "license": "Unknown", - "starsAtCapture": 81, + "starsAtCapture": 90, "summary": { - "en": "YouTube extension detecting sponsored segments from live audio and transcripts using Jev, skipping promotional blocks automatically.", - "zh": "结合实时音频与字幕由 Jev 驱动的 YouTube 视频赞助广告片段检测与自动跳过扩展。", - "ja": "YouTube 拡張機能は、JEV を使用してライブ音声とトランスクリプトからスポンサー付きセグメントを検出し、プロモーション ブロックを自動的にスキップします。" + "en": "An X/Twitter filtering extension using local rules by default, with optional Jev checks for unmatched replies.", + "zh": "为 X/Twitter 过滤帖子与回复的浏览器扩展；默认用本地规则，可选择用 Jev 检查未匹配的回复。", + "ja": "デフォルトでローカル ルールを使用する X/Twitter フィルタリング拡張機能。オプションで JEV が一致しない返信をチェックします。" }, "decision": { - "en": "Inspects transcript segments with Jev to identify sponsor reads while browser code handles playback timeline skipping.", - "zh": "提取视频字幕或音频转录切片，由 Jev 判定当前片段是否属于赞助商宣传读条，代码引擎控制时间戳与播放器快进。", - "ja": "ブラウザ コードが再生タイムラインのスキップを処理している間に、JEV を使用してトランスクリプト セグメントを検査してスポンサーの読み取りを識別します。" + "en": "When experimental AI is enabled, Jev evaluates replies missed by rules and local thresholds decide whether to hide them.", + "zh": "启用实验性 AI 后，将未命中规则的回复交给 Jev 评估，再由本地阈值决定是否隐藏。", + "ja": "実験的な AI が有効になっている場合、JEV はルールによって見逃された応答を評価し、ローカルのしきい値によってそれらを非表示にするかどうかを決定します。" }, "verification": "source-reviewed", "runtimeVerified": false }, { - "id": "mrnugget:jev-shell-history", - "name": "JEV Shell History", - "owner": "mrnugget", - "category": "developer-tools", - "repoUrl": "https://github.com/mrnugget/jev-shell-history", - "evidenceUrl": "https://github.com/mrnugget/jev-shell-history/blob/4b2b75d26c0ccf5726263904514a22a8e11659ea/src/suggest.ts#L1-L196", + "id": "pithings:advocaat", + "name": "Advocaat", + "owner": "pithings", + "category": "sdk-integrations", + "repoUrl": "https://github.com/pithings/advocaat", + "evidenceUrl": "https://github.com/pithings/advocaat/blob/bc46287fc1102b95852a81d679c6e34a2c44f4a2/README.md", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/mrnugget/jev-shell-history/blob/4b2b75d26c0ccf5726263904514a22a8e11659ea/src/suggest.ts#L1-L196" + "url": "https://github.com/pithings/advocaat/blob/bc46287fc1102b95852a81d679c6e34a2c44f4a2/README.md" }, "language": "TypeScript", - "license": "Unknown", - "starsAtCapture": 80, + "license": "MIT", + "starsAtCapture": 89, "summary": { - "en": "Fish-style Zsh history suggestion tool ranked by Jev, ordering candidate commands from local history based on context.", - "zh": "类似于 Fish 终端样式的 Zsh 历史命令建议工具，利用 Jev 对已有历史记录根据当前上下文进行智能打分排序。", - "ja": "JEV によってランク付けされた Fish スタイルの Zsh 履歴提案ツール。コンテキストに基づいてローカル履歴から候補コマンドを順序付けします。" + "en": "A small TypeScript client for asking Jev multiple typed questions about the same data.", + "zh": "用简短的 TypeScript 调用向 Jev 提问。把同一份数据里的多个判断一次写好，直接拿到概率、选项和分数。", + "ja": "同じデータについて複数の型付き質問を JEV に送るための、小さな TypeScript クライアント。" }, "decision": { - "en": "Packages current command input and historical candidates into a Jev request, ranking the most plausible command for inline suggestion.", - "zh": "将当前敲入的命令前缀与本地 Zsh 历史候选组装为 Jev 请求，由 Jev 评估最佳补全项，仅做行内建议而不自动执行。", - "ja": "現在のコマンド入力と過去の候補を JEV リクエストにパッケージ化し、インライン提案として最も妥当なコマンドをランク​​付けします。" + "en": "Combines yes/no, Choice and Score questions and maps responses to typed values.", + "zh": "将带类型的问题转成 System One 请求，并把命名答案映射回调用方。", + "ja": "Noul、Choice、Score の質問を組み合わせ、回答を型付きの値へ変換します。" }, "verification": "source-reviewed", "runtimeVerified": false @@ -3720,7 +4310,7 @@ }, "language": "Swift", "license": "MIT", - "starsAtCapture": 79, + "starsAtCapture": 86, "summary": { "en": "A macOS computer-use harness that drives Accessibility controls without a vision model.", "zh": "无需视觉模型、通过无障碍控件操作 macOS 的 Computer Use 工具。", @@ -3735,34 +4325,32 @@ "runtimeVerified": false }, { - "id": "jev-gateway", - "name": "jev-gateway", - "owner": "vinilana", - "category": "agent-workflows", - "repoUrl": "https://github.com/vinilana/jev-gateway", - "evidenceUrl": "https://github.com/vinilana/jev-gateway/blob/9463952bf118773fb955427d2725a98f76546233/README.md", + "id": "jev-chat", + "name": "JEV Chat", + "owner": "w3cj", + "category": "interfaces", + "repoUrl": "https://github.com/w3cj/jev-chat", + "evidenceUrl": "https://github.com/w3cj/jev-chat/blob/e543aba8c21b57a28a748ef41966502130f0f69e/apps/server/src/jev/pools.ts", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/w3cj/jev-chat/blob/e543aba8c21b57a28a748ef41966502130f0f69e/apps/server/src/jev/pools.ts" + }, "language": "TypeScript", "license": "MIT", - "starsAtCapture": 79, + "starsAtCapture": 84, "summary": { - "en": "A gateway for inserting Jev decisions into Claude Code and Codex tool flows.", - "zh": "把 JEV 判断接入 Claude Code 与 Codex 工具流程的网关。", - "ja": "JEV 決定を Claude Code および Codex ツール フローに挿入するためのゲートウェイ。" + "en": "A tool-using chat interface where JEV chooses only from code-supplied reply and tool options.", + "zh": "由 JEV 仅从代码提供的回复与工具选项中选择的工具型聊天界面。", + "ja": "JEV がコード提供の返答・ツール候補だけから選ぶツール利用チャット。" }, "decision": { - "en": "Delegates bounded tool-choice judgments while the coding agent owns the broader task.", - "zh": "把有限的工具选择判断分离出来，完整任务仍由编码 Agent 负责。", - "ja": "コーディングエージェントがより広範なタスクを所有する一方で、限定されたツール選択の判断を委任します。" + "en": "Selects tools, arguments, and reply fragments from bounded pools.", + "zh": "从有限候选池中选择工具、参数与回复片段。", + "ja": "限定プールからツール、引数、返答断片を選びます。" }, "verification": "source-reviewed", - "runtimeVerified": false, - "source": { - "type": "x", - "label": "Original X case", - "url": "https://x.com/oviniciuslana/status/2101057880640127230", - "author": "@oviniciuslana", - "views": 53439 - } + "runtimeVerified": false }, { "id": "chetaslua:jevmeter", @@ -3778,7 +4366,7 @@ }, "language": "Python", "license": "MIT", - "starsAtCapture": 77, + "starsAtCapture": 81, "summary": { "en": "Creates edited videos with score meters by asking Jev to rate transcript sentences against selected rubrics.", "zh": "把视频转成带评分仪表的视频成片：Jev 按选定规则给字幕句子评分，再由渲染器叠加显示。", @@ -3793,57 +4381,141 @@ "runtimeVerified": false }, { - "id": "captaincore:captaincore", - "name": "Captaincore", - "owner": "CaptainCore", - "category": "safety-review", - "repoUrl": "https://github.com/CaptainCore/captaincore", - "evidenceUrl": "https://github.com/CaptainCore/captaincore/blob/f54e0669350707b2f4f4c67a0130fdd6574bd0b5/cmd/typesafe.go", + "id": "neo4jev", + "name": "Neo4JEV", + "owner": "jexp", + "category": "search-data", + "repoUrl": "https://github.com/jexp/neo4jev", + "evidenceUrl": "https://github.com/jexp/neo4jev/blob/d157bbe496eb91813475156942bef1c6badfb342/src/neo4jev/navigator.py", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/jexp/neo4jev/blob/d157bbe496eb91813475156942bef1c6badfb342/src/neo4jev/navigator.py" + }, + "language": "Jupyter Notebook", + "license": "MIT", + "starsAtCapture": 81, + "summary": { + "en": "A Neo4j graph navigator that uses JEV to classify the next relationship.", + "zh": "使用 JEV 判断下一条关系的 Neo4j 图导航器。", + "ja": "JEV で次のリレーションを分類する Neo4j グラフナビゲーター。" + }, + "decision": { + "en": "Chooses the next graph relationship from the current node and query goal.", + "zh": "根据当前节点与查询目标选择下一条图关系。", + "ja": "現在ノードと検索目標から次のグラフ関係を選びます。" + }, + "verification": "source-reviewed", + "runtimeVerified": false + }, + { + "id": "giuliosmall:pg_typesafe", + "name": "Pg TypeSafe", + "owner": "giuliosmall", + "category": "search-data", + "repoUrl": "https://github.com/giuliosmall/pg_typesafe", + "evidenceUrl": "https://github.com/giuliosmall/pg_typesafe/blob/4b5bfc1df11b18c3f07bb10804eeb47e4508ec6a/typesafe.c", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/giuliosmall/pg_typesafe/blob/4b5bfc1df11b18c3f07bb10804eeb47e4508ec6a/typesafe.c" + }, + "language": "C", + "license": "MIT", + "starsAtCapture": 81, + "summary": { + "en": "A pre-alpha PostgreSQL C extension for calling Jev from SQL for classification, yes/no judgments, and scoring.", + "zh": "一个预览阶段的 PostgreSQL C 扩展，让 SQL 直接调用 Jev 做分类、是非判断和评分。", + "ja": "分類、はい/いいえの判断、スコアリングのために SQL から JEV を呼び出すためのプレアルファ版の PostgreSQL C 拡張機能。" + }, + "decision": { + "en": "Converts SQL input into System One requests and returns answers through database functions.", + "zh": "将 SQL 输入转换为 System One 请求，并把答案返回给数据库函数。", + "ja": "SQL 入力を System One リクエストに変換し、データベース関数を通じて回答を返します。" + }, + "verification": "source-reviewed", + "runtimeVerified": false + }, + { + "id": "trungdq88:youtube-sponsor-detection", + "name": "Youtube Sponsor Detection", + "owner": "trungdq88", + "category": "interfaces", + "repoUrl": "https://github.com/trungdq88/youtube-sponsor-detection", + "evidenceUrl": "https://github.com/trungdq88/youtube-sponsor-detection/blob/de01f0568d043035889a296a61ce21e0accc8b16/extension/lib/jev.js#L1-L541", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/CaptainCore/captaincore/blob/f54e0669350707b2f4f4c67a0130fdd6574bd0b5/cmd/typesafe.go" + "url": "https://github.com/trungdq88/youtube-sponsor-detection/blob/de01f0568d043035889a296a61ce21e0accc8b16/extension/lib/jev.js#L1-L541" }, - "language": "Go", - "license": "MIT", - "starsAtCapture": 71, + "language": "JavaScript", + "license": "Unknown", + "starsAtCapture": 81, "summary": { - "en": "Jev commands in the WordPress toolkit CaptainCore answer structured questions and prioritize malware scanner findings for review.", - "zh": "WordPress 运维工具 CaptainCore 的 Jev 命令，可询问结构化问题，并给恶意代码扫描结果排复核优先级。", - "ja": "WordPress ツールキットCaptainCore の JEV コマンドは、構造化された質問に答え、マルウェア スキャナーの検出結果に優先順位を付けてレビューします。" + "en": "YouTube extension detecting sponsored segments from live audio and transcripts using Jev, skipping promotional blocks automatically.", + "zh": "结合实时音频与字幕由 Jev 驱动的 YouTube 视频赞助广告片段检测与自动跳过扩展。", + "ja": "YouTube 拡張機能は、JEV を使用してライブ音声とトランスクリプトからスポンサー付きセグメントを検出し、プロモーション ブロックを自動的にスキップします。" }, "decision": { - "en": "Sends scan rules, matched snippets, and file context to Jev to assess likely true positives and suggested handling.", - "zh": "把扫描规则、命中片段与文件上下文交给 Jev，判断真阳性可能性和建议处理方式。", - "ja": "スキャン ルール、一致したスニペット、およびファイル コンテキストを JEV に送信して、真陽性の可能性と推奨される処理を評価します。" + "en": "Inspects transcript segments with Jev to identify sponsor reads while browser code handles playback timeline skipping.", + "zh": "提取视频字幕或音频转录切片，由 Jev 判定当前片段是否属于赞助商宣传读条，代码引擎控制时间戳与播放器快进。", + "ja": "ブラウザ コードが再生タイムラインのスキップを処理している間に、JEV を使用してトランスクリプト セグメントを検査してスポンサーの読み取りを識別します。" }, "verification": "source-reviewed", "runtimeVerified": false }, { - "id": "jev-chat", - "name": "JEV Chat", - "owner": "w3cj", - "category": "interfaces", - "repoUrl": "https://github.com/w3cj/jev-chat", - "evidenceUrl": "https://github.com/w3cj/jev-chat/blob/e543aba8c21b57a28a748ef41966502130f0f69e/apps/server/src/jev/pools.ts", + "id": "jev-dsh-decision", + "name": "JEV DSH Decision", + "owner": "Devin-AXIS", + "category": "agent-workflows", + "starsAtCapture": 78, + "language": "JavaScript", + "license": "NOASSERTION", + "summary": { + "en": "A structured JEV decision plugin for DeepSeek Harness and compatible coding-agent hosts.", + "zh": "面向 DeepSeek Harness 及兼容编码 Agent Host 的结构化 JEV 决策插件。", + "ja": "DeepSeek Harness と互換コーディング Agent ホスト向けの構造化 JEV 判断プラグイン。" + }, + "decision": { + "en": "Packages bounded questions as a service and returns typed results to the host harness.", + "zh": "把有限问题封装为服务，并向 Host Harness 返回类型化结果。", + "ja": "限定質問をサービス化し、ホスト Harness へ型付き結果を返します。" + }, + "repoUrl": "https://github.com/Devin-AXIS/jev-dsh-decision", + "evidenceUrl": "https://github.com/Devin-AXIS/jev-dsh-decision/blob/adc88caa9bf174d367e79a5f254c7936bcef088e/service/jev.mjs", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/w3cj/jev-chat/blob/e543aba8c21b57a28a748ef41966502130f0f69e/apps/server/src/jev/pools.ts" + "url": "https://github.com/Devin-AXIS/jev-dsh-decision/blob/adc88caa9bf174d367e79a5f254c7936bcef088e/service/jev.mjs" }, - "language": "TypeScript", + "verification": "source-reviewed", + "runtimeVerified": false + }, + { + "id": "jegrep", + "name": "jegrep", + "owner": "can1357", + "category": "search-data", + "repoUrl": "https://github.com/can1357/jegrep", + "evidenceUrl": "https://github.com/can1357/jegrep/blob/a280f14f6da8163bde67e0c49f58b23517a02882/src/jev.rs", + "language": "Rust", "license": "MIT", - "starsAtCapture": 71, + "starsAtCapture": 75, "summary": { - "en": "A tool-using chat interface where JEV chooses only from code-supplied reply and tool options.", - "zh": "由 JEV 仅从代码提供的回复与工具选项中选择的工具型聊天界面。", - "ja": "JEV がコード提供の返答・ツール候補だけから選ぶツール利用チャット。" + "en": "Semantic grep for live code trees: describe what you need, get files and original line ranges without building an index.", + "zh": "面向实时代码树的语义 grep：用自然语言描述目标，无需建索引即可返回文件与原始行号范围。", + "ja": "ライブ コード ツリーのセマンティック grep: 必要なものを記述し、インデックスを作成せずにファイルと元の行範囲を取得します。" }, "decision": { - "en": "Selects tools, arguments, and reply fragments from bounded pools.", - "zh": "从有限候选池中选择工具、参数与回复片段。", - "ja": "限定プールからツール、引数、返答断片を選びます。" + "en": "JEV scores folders, files, and bounded code passages; local search strategies manage budgets, thresholds, and fallbacks.", + "zh": "JEV 为目录、文件和有限代码片段评分，本地搜索策略负责预算、阈值与回退。", + "ja": "JEV は、フォルダー、ファイル、および制限されたコードパッセージをスコアリングします。ローカル検索戦略は、予算、しきい値、およびフォールバックを管理します。" + }, + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/can1357/jegrep/blob/a280f14f6da8163bde67e0c49f58b23517a02882/src/jev.rs" }, "verification": "source-reviewed", "runtimeVerified": false @@ -3862,7 +4534,7 @@ }, "language": "Python", "license": "MIT", - "starsAtCapture": 68, + "starsAtCapture": 74, "summary": { "en": "A JEV decision layer for Grok Bot with usage gates and skill templates.", "zh": "为 Grok Bot 提供用量闸门与 Skill 模板的 JEV 决策层。", @@ -3876,34 +4548,6 @@ "verification": "source-reviewed", "runtimeVerified": false }, - { - "id": "aowang-jev-trade", - "name": "JEV Trade", - "owner": "aowang-ai", - "category": "domain-tools", - "repoUrl": "https://github.com/aowang-ai/jev-trade", - "evidenceUrl": "https://github.com/aowang-ai/jev-trade/blob/df2c9656324a8a75996eb0612de7adcfe3ce6f89/src/model.ts", - "source": { - "type": "github", - "label": "GitHub source", - "url": "https://github.com/aowang-ai/jev-trade/blob/df2c9656324a8a75996eb0612de7adcfe3ce6f89/src/model.ts" - }, - "language": "TypeScript", - "license": "NOASSERTION", - "starsAtCapture": 68, - "summary": { - "en": "A live Hyperliquid trading agent with JEV as a bounded decision layer.", - "zh": "以 JEV 作为有限决策层的 Hyperliquid 实盘交易 Agent。", - "ja": "JEV を限定判断レイヤーに使う Hyperliquid ライブ取引 Agent。" - }, - "decision": { - "en": "Chooses among configured trading actions from market and position state.", - "zh": "根据市场与持仓状态，从配置的交易动作中选择。", - "ja": "市場とポジション状態から設定済み取引操作を選びます。" - }, - "verification": "source-reviewed", - "runtimeVerified": false - }, { "id": "appitstudio-awesome-jev", "name": "Awesome JEV (AppitStudio)", @@ -3918,7 +4562,7 @@ }, "language": "Python", "license": "NOASSERTION", - "starsAtCapture": 66, + "starsAtCapture": 73, "summary": { "en": "A curated JEV resource list with runnable typed-decision examples.", "zh": "带可运行类型化决策示例的 JEV 精选资源列表。", @@ -3932,6 +4576,62 @@ "verification": "source-reviewed", "runtimeVerified": false }, + { + "id": "captaincore:captaincore", + "name": "Captaincore", + "owner": "CaptainCore", + "category": "safety-review", + "repoUrl": "https://github.com/CaptainCore/captaincore", + "evidenceUrl": "https://github.com/CaptainCore/captaincore/blob/f54e0669350707b2f4f4c67a0130fdd6574bd0b5/cmd/typesafe.go", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/CaptainCore/captaincore/blob/f54e0669350707b2f4f4c67a0130fdd6574bd0b5/cmd/typesafe.go" + }, + "language": "Go", + "license": "MIT", + "starsAtCapture": 71, + "summary": { + "en": "Jev commands in the WordPress toolkit CaptainCore answer structured questions and prioritize malware scanner findings for review.", + "zh": "WordPress 运维工具 CaptainCore 的 Jev 命令，可询问结构化问题，并给恶意代码扫描结果排复核优先级。", + "ja": "WordPress ツールキットCaptainCore の JEV コマンドは、構造化された質問に答え、マルウェア スキャナーの検出結果に優先順位を付けてレビューします。" + }, + "decision": { + "en": "Sends scan rules, matched snippets, and file context to Jev to assess likely true positives and suggested handling.", + "zh": "把扫描规则、命中片段与文件上下文交给 Jev，判断真阳性可能性和建议处理方式。", + "ja": "スキャン ルール、一致したスニペット、およびファイル コンテキストを JEV に送信して、真陽性の可能性と推奨される処理を評価します。" + }, + "verification": "source-reviewed", + "runtimeVerified": false + }, + { + "id": "prism-liquidity-agent", + "name": "Prism Liquidity Agent", + "owner": "irfndi", + "category": "domain-tools", + "repoUrl": "https://github.com/irfndi/prism-liquidity-agent", + "evidenceUrl": "https://github.com/irfndi/prism-liquidity-agent/blob/22c67bdbe30bab608226832256a5013ad826b707/engine/jev-service.ts", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/irfndi/prism-liquidity-agent/blob/22c67bdbe30bab608226832256a5013ad826b707/engine/jev-service.ts" + }, + "language": "TypeScript", + "license": "MIT", + "starsAtCapture": 69, + "summary": { + "en": "An autonomous liquidity agent that uses JEV inside its rebalancing decision service.", + "zh": "在再平衡决策服务中使用 JEV 的自动化流动性 Agent。", + "ja": "リバランス判断サービスで JEV を使う自律流動性 Agent。" + }, + "decision": { + "en": "Evaluates bounded liquidity actions from pool, risk, and position state.", + "zh": "根据池子、风险与持仓状态评估有限流动性动作。", + "ja": "プール、リスク、ポジション状態から限定された流動性操作を評価します。" + }, + "verification": "source-reviewed", + "runtimeVerified": false + }, { "id": "realzachi:typesafe-adblock", "name": "TypeSafe Adblock", @@ -3946,7 +4646,7 @@ }, "language": "JavaScript", "license": "MIT", - "starsAtCapture": 64, + "starsAtCapture": 68, "summary": { "en": "An experimental Chrome extension that asks Jev whether candidate DOM elements are ads, then highlights or removes them.", "zh": "一个实验性 Chrome 扩展，让 Jev 判断候选 DOM 元素是否是广告，再高亮或移除。", @@ -3974,7 +4674,7 @@ }, "language": "JavaScript", "license": "MIT", - "starsAtCapture": 62, + "starsAtCapture": 67, "summary": { "en": "A browser automation library, CLI, and MCP server pairing LLM plans with JEV actions.", "zh": "把 LLM 规划与 JEV 动作结合的浏览器自动化库、CLI 与 MCP Server。", @@ -3989,29 +4689,29 @@ "runtimeVerified": false }, { - "id": "save-token-jev-clean", - "name": "Save Token JEV Clean", - "owner": "IAmUnbounded", - "category": "agent-workflows", - "repoUrl": "https://github.com/IAmUnbounded/save-token-jev-clean", - "evidenceUrl": "https://github.com/IAmUnbounded/save-token-jev-clean/blob/a7007354a8d3747f06ff82130561edb2822a17df/src/client.ts", - "source": { - "type": "github", - "label": "GitHub source", - "url": "https://github.com/IAmUnbounded/save-token-jev-clean/blob/a7007354a8d3747f06ff82130561edb2822a17df/src/client.ts" - }, + "id": "siliconlab-openjev", + "name": "OpenJev", + "owner": "SiliconLabAI", + "category": "open-models", + "starsAtCapture": 67, "language": "TypeScript", "license": "MIT", - "starsAtCapture": 62, "summary": { - "en": "A context cleaner that asks JEV which history to retain, truncate, or drop.", - "zh": "让 JEV 判断哪些历史应保留、截断或丢弃的上下文清理器。", - "ja": "履歴を保持・短縮・削除するか JEV に判断させる文脈クリーナー。" + "en": "An open-source JEV-compatible implementation for typed decision requests.", + "zh": "面向类型化决策请求的开源 JEV 兼容实现。", + "ja": "型付き判断リクエスト向けのオープンソース JEV 互換実装。" }, "decision": { - "en": "Scores conversation items for retention while preserving kept content verbatim.", - "zh": "为对话条目保留价值评分，并原样保留入选内容。", - "ja": "会話項目の保持価値を評価し、残す内容は原文のまま保ちます。" + "en": "Accepts bounded question schemas and returns structured answers through a compatible interface.", + "zh": "接受有限问题 Schema，并通过兼容接口返回结构化答案。", + "ja": "限定質問 Schema を受け取り、互換インターフェースで構造化回答を返します。" + }, + "repoUrl": "https://github.com/SiliconLabAI/OpenJev", + "evidenceUrl": "https://github.com/SiliconLabAI/OpenJev/blob/a08e969c37b2e4a37f95b3426f983bd94303590c/README.md", + "source": { + "type": "github", + "label": "GitHub source", + "url": "https://github.com/SiliconLabAI/OpenJev/blob/a08e969c37b2e4a37f95b3426f983bd94303590c/README.md" }, "verification": "source-reviewed", "runtimeVerified": false @@ -4030,7 +4730,7 @@ }, "language": "TypeScript", "license": "MIT", - "starsAtCapture": 58, + "starsAtCapture": 63, "summary": { "en": "A CLI that routes tasks to coding agents, models, and reasoning effort with JEV.", "zh": "用 JEV 把任务路由到编码 Agent、模型与推理强度的 CLI。", @@ -4045,85 +4745,29 @@ "runtimeVerified": false }, { - "id": "jegrep", - "name": "jegrep", - "owner": "can1357", - "category": "search-data", - "repoUrl": "https://github.com/can1357/jegrep", - "evidenceUrl": "https://github.com/can1357/jegrep/blob/a280f14f6da8163bde67e0c49f58b23517a02882/src/jev.rs", - "language": "Rust", - "license": "MIT", - "starsAtCapture": 57, - "summary": { - "en": "Semantic grep for live code trees: describe what you need, get files and original line ranges without building an index.", - "zh": "面向实时代码树的语义 grep：用自然语言描述目标，无需建索引即可返回文件与原始行号范围。", - "ja": "ライブ コード ツリーのセマンティック grep: 必要なものを記述し、インデックスを作成せずにファイルと元の行範囲を取得します。" - }, - "decision": { - "en": "JEV scores folders, files, and bounded code passages; local search strategies manage budgets, thresholds, and fallbacks.", - "zh": "JEV 为目录、文件和有限代码片段评分，本地搜索策略负责预算、阈值与回退。", - "ja": "JEV は、フォルダー、ファイル、および制限されたコードパッセージをスコアリングします。ローカル検索戦略は、予算、しきい値、およびフォールバックを管理します。" - }, - "source": { - "type": "github", - "label": "GitHub source", - "url": "https://github.com/can1357/jegrep/blob/a280f14f6da8163bde67e0c49f58b23517a02882/src/jev.rs" - }, - "verification": "source-reviewed", - "runtimeVerified": false - }, - { - "id": "neo4jev", - "name": "Neo4JEV", - "owner": "jexp", - "category": "search-data", - "repoUrl": "https://github.com/jexp/neo4jev", - "evidenceUrl": "https://github.com/jexp/neo4jev/blob/d157bbe496eb91813475156942bef1c6badfb342/src/neo4jev/navigator.py", - "source": { - "type": "github", - "label": "GitHub source", - "url": "https://github.com/jexp/neo4jev/blob/d157bbe496eb91813475156942bef1c6badfb342/src/neo4jev/navigator.py" - }, - "language": "Jupyter Notebook", - "license": "MIT", - "starsAtCapture": 57, - "summary": { - "en": "A Neo4j graph navigator that uses JEV to classify the next relationship.", - "zh": "使用 JEV 判断下一条关系的 Neo4j 图导航器。", - "ja": "JEV で次のリレーションを分類する Neo4j グラフナビゲーター。" - }, - "decision": { - "en": "Chooses the next graph relationship from the current node and query goal.", - "zh": "根据当前节点与查询目标选择下一条图关系。", - "ja": "現在ノードと検索目標から次のグラフ関係を選びます。" - }, - "verification": "source-reviewed", - "runtimeVerified": false - }, - { - "id": "prism-liquidity-agent", - "name": "Prism Liquidity Agent", - "owner": "irfndi", - "category": "domain-tools", - "repoUrl": "https://github.com/irfndi/prism-liquidity-agent", - "evidenceUrl": "https://github.com/irfndi/prism-liquidity-agent/blob/22c67bdbe30bab608226832256a5013ad826b707/engine/jev-service.ts", + "id": "save-token-jev-clean", + "name": "Save Token JEV Clean", + "owner": "IAmUnbounded", + "category": "agent-workflows", + "repoUrl": "https://github.com/IAmUnbounded/save-token-jev-clean", + "evidenceUrl": "https://github.com/IAmUnbounded/save-token-jev-clean/blob/a7007354a8d3747f06ff82130561edb2822a17df/src/client.ts", "source": { "type": "github", "label": "GitHub source", - "url": "https://github.com/irfndi/prism-liquidity-agent/blob/22c67bdbe30bab608226832256a5013ad826b707/engine/jev-service.ts" + "url": "https://github.com/IAmUnbounded/save-token-jev-clean/blob/a7007354a8d3747f06ff82130561edb2822a17df/src/client.ts" }, "language": "TypeScript", "license": "MIT", - "starsAtCapture": 54, + "starsAtCapture": 62, "summary": { - "en": "An autonomous liquidity agent that uses JEV inside its rebalancing decision service.", - "zh": "在再平衡决策服务中使用 JEV 的自动化流动性 Agent。", - "ja": "リバランス判断サービスで JEV を使う自律流動性 Agent。" + "en": "A context cleaner that asks JEV which history to retain, truncate, or drop.", + "zh": "让 JEV 判断哪些历史应保留、截断或丢弃的上下文清理器。", + "ja": "履歴を保持・短縮・削除するか JEV に判断させる文脈クリーナー。" }, "decision": { - "en": "Evaluates bounded liquidity actions from pool, risk, and position state.", - "zh": "根据池子、风险与持仓状态评估有限流动性动作。", - "ja": "プール、リスク、ポジション状態から限定された流動性操作を評価します。" + "en": "Scores conversation items for retention while preserving kept content verbatim.", + "zh": "为对话条目保留价值评分，并原样保留入选内容。", + "ja": "会話項目の保持価値を評価し、残す内容は原文のまま保ちます。" }, "verification": "source-reviewed", "runtimeVerified": false @@ -4142,7 +4786,7 @@ }, "language": "TypeScript", "license": "MIT", - "starsAtCapture": 52, + "starsAtCapture": 55, "summary": { "en": "An Oxlint plugin that evaluates semantic lint rules with JEV.", "zh": "用 JEV 评估语义 Lint 规则的 Oxlint 插件。", @@ -4170,7 +4814,7 @@ }, "language": "JavaScript", "license": "MIT", - "starsAtCapture": 30, + "starsAtCapture": 32, "summary": { "en": "A browser app that pulls verbatim quotes from trial reports to fill systematic-review extraction forms.", "zh": "在浏览器中运行的应用，从试验报告里摘录原文引文，用于填写系统综述的数据提取表。", diff --git a/scripts/curate-star50-expansion-2026-09-22.mjs b/scripts/curate-star50-expansion-2026-09-22.mjs new file mode 100644 index 0000000..5aa2315 --- /dev/null +++ b/scripts/curate-star50-expansion-2026-09-22.mjs @@ -0,0 +1,56 @@ +import { readFile, writeFile } from 'node:fs/promises'; + +const catalogueFile = new URL('../data/projects.json', import.meta.url); +const catalogue = JSON.parse(await readFile(catalogueFile, 'utf8')); + +const g = (repo, sha, path) => `https://github.com/${repo}/blob/${sha}/${path}`; +const p = ({ repo, sha, path, ...project }) => { + const evidenceUrl = g(repo, sha, path); + return { + ...project, + repoUrl: `https://github.com/${repo}`, + evidenceUrl, + source: { type: 'github', label: 'GitHub source', url: evidenceUrl }, + verification: 'source-reviewed', + runtimeVerified: false, + }; +}; + +const additions = [ + p({ id: 'sub2api-jev-moderation', name: 'Sub2API · JEV Moderation', owner: 'Wei-Shaw', category: 'safety-review', repo: 'Wei-Shaw/sub2api', sha: '1c0a69c0ceddb2fd21581c17ab09f6c500b89ba1', path: 'backend/internal/pkg/typesafe/client.go', starsAtCapture: 42323, language: 'Go', license: 'LGPL-3.0', summary: { en: 'A subscription-to-API gateway with a native TypeSafe client for content moderation.', zh: '在订阅转 API 网关中内置 TypeSafe 客户端，用于内容审核。', ja: 'サブスクリプションを API 化するゲートウェイに、コンテンツ審査用 TypeSafe クライアントを内蔵。' }, decision: { en: 'Batches Noul questions, validates every probability, and returns moderation scores to local risk-control policy.', zh: '批量提交 Noul 问题，校验每个概率，再把审核分数交给本地风控策略。', ja: 'Noul 質問をまとめて送信し、各確率を検証してからローカルのリスク制御へ審査スコアを返します。' } }), + p({ id: 'openviking-jev-rerank', name: 'OpenViking · JEV Rerank', owner: 'volcengine', category: 'search-data', repo: 'volcengine/OpenViking', sha: 'b8bed5a1ad3a1c524b5e1fd0fa591df51ca9b7cc', path: 'openviking/models/rerank/jev_rerank.py', starsAtCapture: 38371, language: 'Python', license: 'AGPL-3.0', summary: { en: 'OpenViking can use JEV as a calibrated reranker for agent memory and context retrieval.', zh: 'OpenViking 可用 JEV 对 Agent 记忆与上下文检索结果做校准重排。', ja: 'OpenViking は JEV を使い、Agent の記憶・コンテキスト検索結果を較正して再順位付けできます。' }, decision: { en: 'Asks one Noul relevance question per document and falls back to vector scores when evaluation fails.', zh: '为每篇文档提出一个 Noul 相关性问题，判断失败时回退到向量分数。', ja: '文書ごとに Noul の関連性質問を行い、評価に失敗した場合はベクトルスコアへフォールバックします。' } }), + p({ id: 'hindsight-typesafe-rerank', name: 'Hindsight · TypeSafe Rerank', owner: 'vectorize-io', category: 'search-data', repo: 'vectorize-io/hindsight', sha: '680406b3dd9cca2108c7f0e204820a09b4e30906', path: 'hindsight-api-slim/hindsight_api/engine/cross_encoder.py', starsAtCapture: 24801, language: 'Python', license: 'MIT', summary: { en: 'An agent-memory system with a TypeSafe reranker that can prune irrelevant recall candidates.', zh: '在 Agent 记忆系统中加入 TypeSafe 重排器，可剔除无关召回候选。', ja: 'Agent メモリに TypeSafe リランカーを追加し、無関係な検索候補を除外できます。' }, decision: { en: 'Uses calibrated relevance decisions to score and optionally prune retrieved memories under bounded retry policy.', zh: '用校准后的相关性判断评分并按需剪枝召回记忆，同时受有限重试策略约束。', ja: '較正済みの関連性判断で記憶を採点・必要に応じて除外し、再試行回数も制限します。' } }), + p({ id: 'bifrost-typesafe-provider', name: 'Bifrost · TypeSafe Provider', owner: 'maximhq', category: 'sdk-integrations', repo: 'maximhq/bifrost', sha: '40c3f7ee3a1a4277c5b269b850ca7725d419907f', path: 'core/providers/typesafe/typesafe.go', starsAtCapture: 8227, language: 'Go', license: 'Apache-2.0', summary: { en: 'Bifrost exposes TypeSafe as a native provider through its shared decision operation.', zh: 'Bifrost 通过统一 Decision 操作把 TypeSafe 接成原生 Provider。', ja: 'Bifrost は共通の Decision 操作を通じて TypeSafe をネイティブ Provider として公開します。' }, decision: { en: 'Maps Bifrost decision requests to System One while preserving aliases, usage, errors, and typed answers.', zh: '把 Bifrost 决策请求映射到 System One，并保留别名、用量、错误与类型化答案。', ja: 'Bifrost の判断リクエストを System One に変換し、別名・使用量・エラー・型付き回答を保持します。' } }), + p({ id: 'gpt-load-jev-provider', name: 'GPT-Load · JEV Provider', owner: 'tbphp', category: 'sdk-integrations', repo: 'tbphp/gpt-load', sha: '93502ced3a650018a35ed76c54573e90742b8ccc', path: 'internal/channel/modules/jev.go', starsAtCapture: 6942, language: 'Go', license: 'MIT', summary: { en: 'A self-hosted AI gateway with a first-class JEV channel and native Decisions routes.', zh: '自托管 AI 网关内置一等 JEV 渠道与原生 Decisions 路由。', ja: 'セルフホスト AI ゲートウェイに、JEV 専用チャネルとネイティブ Decisions ルートを搭載。' }, decision: { en: 'Registers the fixed TypeSafe endpoint and routes decision creation, model listing, and probes through the native protocol.', zh: '注册固定 TypeSafe 端点，并通过原生协议处理决策创建、模型列表与探测。', ja: '固定 TypeSafe エンドポイントを登録し、判断作成・モデル一覧・プローブをネイティブプロトコルで処理します。' } }), + p({ id: 'greptimedb-jev-sql', name: 'GreptimeDB · JEV SQL', owner: 'GreptimeTeam', category: 'search-data', repo: 'GreptimeTeam/greptimedb', sha: 'b5199bc59a199875187d808158357a33b09e5f60', path: 'src/common/function/src/scalars/jev.rs', starsAtCapture: 6697, language: 'Rust', license: 'Apache-2.0', summary: { en: 'GreptimeDB adds an experimental SQL predicate backed by JEV judgments.', zh: 'GreptimeDB 增加由 JEV 判断驱动的实验性 SQL 谓词。', ja: 'GreptimeDB に JEV 判断を利用する実験的 SQL 述語を追加。' }, decision: { en: 'Evaluates each non-null row as a Noul question and compares its probability with a caller-supplied threshold.', zh: '把每个非空行作为 Noul 问题评估，并与调用方给定阈值比较。', ja: '各非 null 行を Noul 質問として評価し、呼び出し側指定の閾値と確率を比較します。' } }), + p({ id: 'open-connector-typesafe', name: 'Open Connector · TypeSafe', owner: 'oomol-lab', category: 'sdk-integrations', repo: 'oomol-lab/open-connector', sha: '4e6d8533ae436cba4781b6fb69d1bf31e5fb5ffe', path: 'src/providers/typesafe_ai/runtime.ts', starsAtCapture: 5858, language: 'TypeScript', license: 'Apache-2.0', summary: { en: 'Open Connector exposes TypeSafe evaluation through its provider runtime.', zh: 'Open Connector 通过 Provider Runtime 暴露 TypeSafe 评估能力。', ja: 'Open Connector は Provider Runtime 経由で TypeSafe 評価を公開します。' }, decision: { en: 'Validates Noul, Choice, and Score questions and responses before returning them to connector workflows.', zh: '在返回 Connector 工作流前，校验 Noul、Choice、Score 问题及其响应。', ja: 'Noul・Choice・Score の質問と応答を検証してから Connector ワークフローへ返します。' } }), + p({ id: 'kiln-jev-adapter', name: 'Kiln · JEV Adapter', owner: 'Kiln-AI', category: 'sdk-integrations', repo: 'Kiln-AI/Kiln', sha: '5992e2e51ec6782fce33f277145954ba3ae8467e', path: 'libs/core/kiln_ai/adapters/model_adapters/jev_adapter.py', starsAtCapture: 5078, language: 'Python', license: 'NOASSERTION', summary: { en: 'Kiln maps compatible JSON schemas to JEV questions for structured single-turn tasks.', zh: 'Kiln 把兼容的 JSON Schema 映射为 JEV 问题，用于结构化单轮任务。', ja: 'Kiln は互換 JSON Schema を JEV 質問へ変換し、構造化された単発タスクを実行します。' }, decision: { en: 'Converts enums, booleans, bounded integers, and probabilities into typed questions, then reconstructs schema-valid output.', zh: '把枚举、布尔值、有限整数与概率转成类型化问题，再重建符合 Schema 的输出。', ja: '列挙・真偽・範囲付き整数・確率を型付き質問へ変換し、Schema 適合の出力を復元します。' } }), + p({ id: 'http4k-typesafe-client', name: 'http4k · TypeSafe Client', owner: 'http4k', category: 'sdk-integrations', repo: 'http4k/http4k', sha: '528ef94c9533b42be9010396bd1828ed1c84c9d2', path: 'connect/ai/typesafe/client/src/main/kotlin/org/http4k/connect/typesafe/action/SystemOne.kt', starsAtCapture: 2789, language: 'Kotlin', license: 'NOASSERTION', summary: { en: 'A typed Kotlin client and fake implementation for the TypeSafe System One API.', zh: '面向 TypeSafe System One API 的 Kotlin 类型化客户端与 Fake 实现。', ja: 'TypeSafe System One API 向けの型付き Kotlin クライアントと Fake 実装。' }, decision: { en: 'Builds model, state, and typed question maps and posts them to the native System One endpoint.', zh: '构建模型、状态和类型化问题映射，并提交到原生 System One 端点。', ja: 'モデル・状態・型付き質問のマップを作成し、ネイティブ System One エンドポイントへ送信します。' } }), + p({ id: 'agent-router-typesafe', name: 'Agent Router · TypeSafe', owner: 'theagentrouter', category: 'routing-optimization', repo: 'theagentrouter/agent-router', sha: '7d7c07ffdb14241362def2f7d3f76cbd06d518cc', path: 'internal/translator/typesafe_systemone.go', starsAtCapture: 2127, language: 'Go', license: 'Apache-2.0', summary: { en: 'Agent Router provides a native TypeSafe System One translator in its Envoy-based gateway.', zh: 'Agent Router 在 Envoy 网关中提供原生 TypeSafe System One 转换器。', ja: 'Agent Router は Envoy ベースのゲートウェイに TypeSafe System One トランスレータを備えます。' }, decision: { en: 'Passes typed requests through with optional model overrides while retaining usage, errors, and resolved model identity.', zh: '在可选模型覆盖下透传类型化请求，并保留用量、错误与解析后的模型身份。', ja: '任意のモデル上書きを適用しつつ型付きリクエストを透過し、使用量・エラー・解決済みモデルを保持します。' } }), + p({ id: 'llmgateway-system-one', name: 'LLMGateway · System One', owner: 'theopenco', category: 'routing-optimization', repo: 'theopenco/llmgateway', sha: '24de43b5f307ecbdee9aad386b68aee76de4ae8c', path: 'apps/gateway/src/systemone/systemone.ts', starsAtCapture: 1651, language: 'TypeScript', license: 'NOASSERTION', summary: { en: 'LLMGateway implements a native System One route with typed schemas and provider mappings.', zh: 'LLMGateway 实现带类型化 Schema 与 Provider 映射的原生 System One 路由。', ja: 'LLMGateway は型付き Schema と Provider マッピングを備えたネイティブ System One ルートを実装。' }, decision: { en: 'Validates Noul, Choice, and Score requests, resolves aliases to priced models, and routes them through decision-capable providers.', zh: '校验 Noul、Choice、Score 请求，将别名解析到已定价模型，再路由到支持决策的 Provider。', ja: 'Noul・Choice・Score を検証し、別名を価格設定済みモデルへ解決して、判断対応 Provider にルーティングします。' } }), + p({ id: 'jev-chat-jarvis', name: 'JEV Chat Jarvis', owner: 'jev-chat', category: 'interfaces', repo: 'jev-chat/jev-chat-jarvis', sha: 'd8720521fa13aa5172a891cba95c5dd8aeb44a11', path: 'app/src/main/java/com/jev/probe/jev/JevClient.kt', starsAtCapture: 1645, language: 'Kotlin', license: 'MIT', summary: { en: 'An Android conversation copilot that reads visible chat context and proposes replies without auto-sending.', zh: '读取可见聊天上下文、给出候选回复但不自动发送的 Android 对话副驾。', ja: '表示中の会話を読み、候補返信を提案するが自動送信しない Android 会話コパイロット。' }, decision: { en: 'Uses JEV to judge conversation state and bounded reply choices while the user retains the send action.', zh: '用 JEV 判断会话状态与有限回复选项，最终发送仍由用户控制。', ja: 'JEV で会話状態と限定された返信候補を判断し、送信操作はユーザーに残します。' } }), + p({ id: 'rnskill-jev-office-gate', name: 'RNSkill · JEV Office Gate', owner: 'Pluviobyte', category: 'agent-workflows', repo: 'Pluviobyte/rnskill', sha: '83d1783b892bbaa29a137895ff8338264b6872fa', path: 'skills/jev-office-gate/scripts/jev_office_gate.py', starsAtCapture: 1591, language: 'Python', license: 'NOASSERTION', summary: { en: 'An agent-skill collection containing a JEV gate for bounded office-document checks.', zh: 'Agent Skill 合集中包含一个用于有限办公文档检查的 JEV Gate。', ja: 'Agent Skill 集に、限定されたオフィス文書チェック用 JEV ゲートを収録。' }, decision: { en: 'Turns configured document-review conditions into typed judgments before the workflow proceeds.', zh: '把配置好的文档审查条件转成类型化判断，再决定工作流是否继续。', ja: '設定済みの文書レビュー条件を型付き判断へ変換し、ワークフロー継続可否を決めます。' } }), + p({ id: 'distill-jev-runtime', name: 'Distill · JEV Runtime', owner: 'samuelfaj', category: 'agent-workflows', repo: 'samuelfaj/distill', sha: 'd5f031153cb817f023138a9a0b3fce5516f727c4', path: 'crates/codegen/distill-shell/src/jev.rs', starsAtCapture: 683, language: 'Rust', license: 'Apache-2.0', summary: { en: 'A coding-agent runtime with JEV lanes for routing, compaction, memory, and tool-result handling.', zh: '编码 Agent Runtime 使用 JEV 分支处理路由、压缩、记忆与工具结果。', ja: 'コーディング Agent Runtime が JEV レーンでルーティング・圧縮・記憶・ツール結果を処理。' }, decision: { en: 'Chooses among bounded runtime policies before local code performs context and tool operations.', zh: '在本地代码执行上下文与工具操作前，从有限 Runtime 策略中做选择。', ja: 'ローカルコードが文脈・ツール操作を行う前に、限定された Runtime 方針から選択します。' } }), + p({ id: 'siftrank-jev', name: 'SiftRank · JEV', owner: 'noperator', category: 'search-data', repo: 'noperator/siftrank', sha: '03e7afe3289a204ea3dcc51613cea91877a651de', path: 'pkg/siftrank/jev_provider.go', starsAtCapture: 202, language: 'Go', license: 'MIT', summary: { en: 'A command-line ranking tool that uses JEV to find relevant items in large collections.', zh: '使用 JEV 在大型集合中寻找相关条目的命令行排序工具。', ja: 'JEV を使って大規模コレクションから関連項目を探す CLI ランキングツール。' }, decision: { en: 'Scores candidates in batches and applies convergence rules before returning the highest-value subset.', zh: '批量评分候选，并在返回最高价值子集前应用收敛规则。', ja: '候補をバッチ採点し、収束ルールを適用してから価値の高い部分集合を返します。' } }), + p({ id: 'docjev', name: 'DocJEV', owner: 'jerryjliu', category: 'search-data', repo: 'jerryjliu/docjev', sha: '7e6b48d3f7eec8db7b582e7276f2778c0d12ca3d', path: 'src/jev_docs/engines/jev.py', starsAtCapture: 201, language: 'Python', license: 'Apache-2.0', summary: { en: 'A document classifier and splitter with a dedicated JEV engine.', zh: '带专用 JEV Engine 的文档分类与切分工具。', ja: '専用 JEV エンジンを備えた文書分類・分割ツール。' }, decision: { en: 'Classifies documents and split boundaries from bounded schemas, with cache and alternate-engine support.', zh: '根据有限 Schema 判断文档类别与切分边界，并支持缓存及备用引擎。', ja: '限定 Schema から文書カテゴリと分割境界を判断し、キャッシュと代替エンジンにも対応します。' } }), + p({ id: 'laya-node-runtime', name: 'Laya Node Runtime', owner: 'receptron', category: 'open-models', repo: 'receptron/laya', sha: '6478649e723122ca24bbf5fb69ed1010023c9750', path: 'src/laya.ts', starsAtCapture: 195, language: 'TypeScript', license: 'MIT', summary: { en: 'A Node.js and TypeScript runtime for the open Laya JEV-compatible decision model.', zh: '面向开放 Laya JEV 兼容决策模型的 Node.js / TypeScript Runtime。', ja: 'オープンな Laya JEV 互換判断モデル向け Node.js / TypeScript Runtime。' }, decision: { en: 'Runs the ONNX model locally and returns typed decision probabilities without a hosted JEV call.', zh: '在本地运行 ONNX 模型并返回类型化决策概率，无需调用托管 JEV。', ja: 'ONNX モデルをローカル実行し、ホスト型 JEV を呼ばずに型付き判断確率を返します。' } }), + p({ id: 'arc-cua-typesafe', name: 'Arc CUA · TypeSafe Policy', owner: 'shhivv', category: 'browser-computer-use', repo: 'shhivv/arc-cua', sha: '6d47ce6c906d7d8586d3553e277c1c3611c4f6af', path: 'src/arc_cua/policies/typesafe.py', starsAtCapture: 127, language: 'Python', license: 'MIT', summary: { en: 'A fast computer-use action layer with a TypeSafe policy implementation.', zh: '带 TypeSafe Policy 实现的高速 Computer Use 动作层。', ja: 'TypeSafe Policy 実装を備えた高速 Computer Use アクション層。' }, decision: { en: 'Selects the next allowed UI action from observed state while the local harness owns execution.', zh: '根据观察状态选择下一步允许的 UI 动作，执行仍由本地 Harness 负责。', ja: '観測状態から次の許可済み UI 操作を選び、実行はローカル Harness が担います。' } }), + p({ id: 'llm2jev', name: 'LLM2Jev', owner: 'Yinsongxu', category: 'open-models', repo: 'Yinsongxu/LLM2Jev', sha: '6fbbf74fc604f92fc9b0b67f0989157bb2908229', path: 'src/llm2jev/inference/binary.py', starsAtCapture: 125, language: 'Python', license: 'Apache-2.0', summary: { en: 'An adapter that turns local language models into JEV-compatible structured decision engines.', zh: '把本地语言模型转成 JEV 兼容结构化决策引擎的适配器。', ja: 'ローカル言語モデルを JEV 互換の構造化判断エンジンへ変換するアダプタ。' }, decision: { en: 'Uses prefill-only binary inference to produce Choice, Score, and Noul probabilities.', zh: '通过仅预填充的二元推理生成 Choice、Score 与 Noul 概率。', ja: 'prefill のみの二値推論で Choice・Score・Noul の確率を生成します。' } }), + p({ id: 'jev-dsh-decision', name: 'JEV DSH Decision', owner: 'Devin-AXIS', category: 'agent-workflows', repo: 'Devin-AXIS/jev-dsh-decision', sha: 'adc88caa9bf174d367e79a5f254c7936bcef088e', path: 'service/jev.mjs', starsAtCapture: 78, language: 'JavaScript', license: 'NOASSERTION', summary: { en: 'A structured JEV decision plugin for DeepSeek Harness and compatible coding-agent hosts.', zh: '面向 DeepSeek Harness 及兼容编码 Agent Host 的结构化 JEV 决策插件。', ja: 'DeepSeek Harness と互換コーディング Agent ホスト向けの構造化 JEV 判断プラグイン。' }, decision: { en: 'Packages bounded questions as a service and returns typed results to the host harness.', zh: '把有限问题封装为服务，并向 Host Harness 返回类型化结果。', ja: '限定質問をサービス化し、ホスト Harness へ型付き結果を返します。' } }), + p({ id: 'siliconlab-openjev', name: 'OpenJev', owner: 'SiliconLabAI', category: 'open-models', repo: 'SiliconLabAI/OpenJev', sha: 'a08e969c37b2e4a37f95b3426f983bd94303590c', path: 'README.md', starsAtCapture: 67, language: 'TypeScript', license: 'MIT', summary: { en: 'An open-source JEV-compatible implementation for typed decision requests.', zh: '面向类型化决策请求的开源 JEV 兼容实现。', ja: '型付き判断リクエスト向けのオープンソース JEV 互換実装。' }, decision: { en: 'Accepts bounded question schemas and returns structured answers through a compatible interface.', zh: '接受有限问题 Schema，并通过兼容接口返回结构化答案。', ja: '限定質問 Schema を受け取り、互換インターフェースで構造化回答を返します。' } }), + p({ id: 'abdelstark-awesome-typesafe-jev', name: 'Awesome TypeSafe JEV', owner: 'AbdelStark', category: 'developer-tools', repo: 'AbdelStark/awesome-typesafe-jev', sha: '9384099af36cd439b7f0bd4311560ac02eeabe7c', path: 'README.md', starsAtCapture: 431, language: 'HTML', license: 'MIT', summary: { en: 'A source-backed field guide to TypeSafe JEV projects, SDKs, demos, and evaluations.', zh: '带源码依据的 TypeSafe JEV 项目、SDK、演示与评测指南。', ja: 'TypeSafe JEV のプロジェクト・SDK・デモ・評価を根拠付きでまとめたガイド。' }, decision: { en: 'Organizes ecosystem resources by how they implement or apply typed, confidence-aware decisions.', zh: '按类型化、置信度感知决策的实现与应用方式组织生态资源。', ja: '型付き・信頼度付き判断の実装方法と用途別にエコシステム資料を整理します。' } }), + p({ id: 'heyjunpenn-awesome-jev', name: 'Awesome JEV (HeyJunPenn)', owner: 'heyjunpenn', category: 'developer-tools', repo: 'heyjunpenn/awesome-jev', sha: 'eabb8446bdadd6744adce2e30871ef0691cf34e5', path: 'README.md', starsAtCapture: 148, language: 'Astro', license: 'MIT', summary: { en: 'A multilingual, community-maintained catalogue of open-source JEV projects.', zh: '社区维护的多语言 JEV 开源项目目录。', ja: 'コミュニティ運営の多言語 JEV オープンソース・カタログ。' }, decision: { en: 'Indexes implementations and integrations while retaining repository-level provenance for discovery.', zh: '索引实现与集成，并保留仓库级来源信息用于发现。', ja: '実装・連携を索引化し、発見用にリポジトリ単位の出典を保持します。' } }), +]; + +const byRepo = new Map(catalogue.projects.map((project) => [project.repoUrl.toLowerCase(), project])); +for (const project of additions) byRepo.set(project.repoUrl.toLowerCase(), project); + +catalogue.projects = [...byRepo.values()].sort( + (a, b) => b.starsAtCapture - a.starsAtCapture || a.name.localeCompare(b.name), +); +catalogue.capturedAt = '2026-09-22'; +catalogue.source.batch = '2026-09-22-star50-cross-search-and-source-review'; +catalogue.source.policy = 'Project-level deduplication. Public JEV-related GitHub repositories at or above 50 stars are included only after fixed-commit source review. Discovery includes GitHub repository search, GitHub code search, current competitor catalogues, and direct source inspection. Runtime behavior is not independently verified. One editorial exception below the 50-star floor: choxos/jev-reviewer.'; + +await writeFile(catalogueFile, `${JSON.stringify(catalogue, null, 2)}\n`); +console.log(`Added or refreshed ${additions.length} projects; catalogue now has ${catalogue.projects.length}.`); diff --git a/scripts/validate.test.mjs b/scripts/validate.test.mjs index edb93e2..6f25414 100644 --- a/scripts/validate.test.mjs +++ b/scripts/validate.test.mjs @@ -9,7 +9,7 @@ const catalogue = JSON.parse( test('catalogue metadata is explicit', () => { assert.equal(catalogue.schemaVersion, 3); assert.match(catalogue.capturedAt, /^\d{4}-\d{2}-\d{2}$/); - assert.equal(catalogue.projects.length, 148); + assert.equal(catalogue.projects.length, 171); const belowFloor = catalogue.projects.filter((project) => project.starsAtCapture < 50).map((project) => project.id); assert.deepEqual(belowFloor, ['choxos:jev-reviewer']); }); @@ -41,7 +41,7 @@ test('every project keeps repository and fixed-commit evidence links', () => { test('catalogue covers multiple practical patterns', () => { assert.ok(new Set(catalogue.projects.map((project) => project.category)).size >= 9); - assert.equal(catalogue.projects.filter((project) => project.starsAtCapture >= 1_000).length, 34); + assert.equal(catalogue.projects.filter((project) => project.starsAtCapture >= 1_000).length, 48); for (const required of ['jev-ultrafast', 'laya', 'jegrep']) { assert.ok(catalogue.projects.some((project) => project.id === required), `missing ${required}`); } @@ -62,7 +62,7 @@ test('README identity and project-owned cover stay present', async () => { assert.match(japaneseReadme, /

概要<\/h2>/); for (const localizedReadme of [readme, chineseReadme, japaneseReadme]) { assert.match(localizedReadme, /
\s*/); - assert.match(localizedReadme, /
148<\/strong><\/td>/); + assert.match(localizedReadme, /171<\/strong><\/td>/); assert.doesNotMatch(localizedReadme, /GitHub 100|100\+ Star|100 stars/); assert.match(localizedReadme, /\/v1\/systemone/); assert.match(localizedReadme, /jev-1\.13/);