Refresh Laya (already curated) to 2.8K stars

README.ja.md

@@ -64,7 +64,7 @@
 | [![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 · 146.7K Star<br>Python ワークフローで二値・分類・順序付き評価を扱います。<br>[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<br>choice、score、yes/no を共通の evaluate インターフェースへ変換します。<br>[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 · 1.8K Star<br>多言語の型付き判断をオープンウェイトでローカル実行します。<br>[Hugging Face モデル](https://huggingface.co/convaiinnovations/laya) · [固定コミットの根拠](https://github.com/NandhaKishorM/laya/blob/d113dca2512fb3eaca313534bc54c7162d87c1d4/README.md) | **[jegrep](https://github.com/can1357/jegrep)** · 検索・データ<br>インデックスを作らず、実際のコードツリーを意味検索します。<br>[固定コミットの根拠](https://github.com/can1357/jegrep/blob/a280f14f6da8163bde67e0c49f58b23517a02882/src/jev.rs) |
+| **[Laya](https://github.com/NandhaKishorM/laya)** · オープンモデル · 2.8K stars<br>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。<br>[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 · 24.7K Star<br>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。<br>[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 · 4.9K Star<br>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。<br>[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) |
@@ -96,7 +96,7 @@
 - [Fast Jev Compaction](https://github.com/tamaratran/fast-jev-compaction) · 4,463 stars
 - [Ax · TypeSafe Client](https://github.com/ax-llm/ax) · 2,927 stars
 - [SemIf](https://github.com/TheoLeeCJ/SemIf) · 2,047 stars
-- [Laya](https://github.com/NandhaKishorM/laya) · 1,795 stars
+- [Laya](https://github.com/NandhaKishorM/laya) · 2,820 stars
 - [JEV Trader](https://github.com/jarrodwatts/jev-trader) · 1,364 stars
 - [Agent Desktop · JEV Skill](https://github.com/lahfir/agent-desktop) · 1,310 stars
 - [Vellum Assistant · JEV](https://github.com/vellum-ai/vellum-assistant) · 1,292 stars

README.md

@@ -64,7 +64,7 @@
 | [![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 · 146.7K stars<br>Exposes binary, classification, and ordinal JEV decisions inside Python workflows.<br>[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<br>Maps choice, score, and yes/no questions onto a unified evaluate interface.<br>[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 · 1.8K stars<br>Runs open-weight typed decisions locally with multilingual checkpoints.<br>[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<br>Searches live code trees semantically without building an index.<br>[Fixed-commit evidence](https://github.com/can1357/jegrep/blob/a280f14f6da8163bde67e0c49f58b23517a02882/src/jev.rs) |
+| **[Laya](https://github.com/NandhaKishorM/laya)** · Open model · 2.8K stars<br>Multilingual System 1 typed decisions in one forward pass, with a checkpoint router.<br>[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<br>Searches live code trees semantically without building an index.<br>[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 · 24.7K stars<br>Selects an action ID from DOM or visual-region descriptions.<br>[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 · 4.9K stars<br>Scores jailbreak, harmful-content, and secret-leakage checks at the gateway.<br>[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) |
@@ -96,7 +96,7 @@
 - [Fast Jev Compaction](https://github.com/tamaratran/fast-jev-compaction) · 4,463 stars
 - [Ax · TypeSafe Client](https://github.com/ax-llm/ax) · 2,927 stars
 - [SemIf](https://github.com/TheoLeeCJ/SemIf) · 2,047 stars
-- [Laya](https://github.com/NandhaKishorM/laya) · 1,795 stars
+- [Laya](https://github.com/NandhaKishorM/laya) · 2,820 stars
 - [JEV Trader](https://github.com/jarrodwatts/jev-trader) · 1,364 stars
 - [Agent Desktop · JEV Skill](https://github.com/lahfir/agent-desktop) · 1,310 stars
 - [Vellum Assistant · JEV](https://github.com/vellum-ai/vellum-assistant) · 1,292 stars

README.zh-CN.md

@@ -64,7 +64,7 @@
 | [![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 · 146.7K Star<br>在 Python 工作流中提供二元、分类和有序评分判断。<br>[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<br>把 choice、score 和 yes/no 问题映射到统一 evaluate 接口。<br>[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 · 1.8K Star<br>使用开放权重在本地完成多语言类型化判断。<br>[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<br>无需建立索引，直接对实时代码树做语义检索。<br>[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 · 2.8K Star<br>多语言 System 1 类型化判断，单次前向完成，并带检查点路由。<br>[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<br>无需建立索引，直接对实时代码树做语义检索。<br>[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 · 24.7K Star<br>根据 DOM 或视觉区域描述选择下一步动作 ID。<br>[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 · 4.9K Star<br>在网关层判断越狱、有害内容与密钥泄露风险。<br>[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) |
@@ -96,7 +96,7 @@
 - [Fast Jev Compaction](https://github.com/tamaratran/fast-jev-compaction) · 4,463 Star
 - [Ax · TypeSafe Client](https://github.com/ax-llm/ax) · 2,927 Star
 - [SemIf](https://github.com/TheoLeeCJ/SemIf) · 2,047 Star
-- [Laya](https://github.com/NandhaKishorM/laya) · 1,795 Star
+- [Laya](https://github.com/NandhaKishorM/laya) · 2,820 Star
 - [JEV Trader](https://github.com/jarrodwatts/jev-trader) · 1,364 Star
 - [Agent Desktop · JEV Skill](https://github.com/lahfir/agent-desktop) · 1,310 Star
 - [Vellum Assistant · JEV](https://github.com/vellum-ai/vellum-assistant) · 1,292 Star

data/projects.json

@@ -633,23 +633,23 @@
     {
       "id": "laya",
       "name": "Laya",
-      "owner": "convaiinnovations",
+      "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": 1795,
+      "starsAtCapture": 2820,
       "summary": {
-        "en": "An Apache-2.0 open-weight decision model with English, multilingual, and typed-decision checkpoints.",
-        "zh": "采用 Apache-2.0 的开放权重决策模型，提供英文、多语言与 typed-decision 检查点。",
-        "ja": "英語、多言語、型付き意思決定チェックポイントを備えた Apache-2.0 オープンウェイト意思決定モデル。"
+        "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": "Produces typed choice, score, and noul outputs locally; benchmark comparisons are author-reported.",
-        "zh": "在本地输出类型化 choice、score 与 noul；对比数据均按作者披露处理。",
-        "ja": "型指定された選択肢、スコア、および noul 出力をローカルに生成します。ベンチマークの比較は著者によって報告されています。"
+        "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",