rlcd

The open-source System One decision model. Sub-15ms, non-autoregressive, local drop-in alternative to TypeSafe Jev.

🔥🔥 Papers, open reproductions and independent evaluations behind System One models and Jev.

Calibrated 151M Non-Autoregressive Decision Engine beating TypeSafe Jev & Laya on LocalLLaMA/typed-decisions (77.10% acc, 0.0636 Brier, 0.0144 ECE)

Non-autoregressive decision engine on ModernBERT (151M) with calibrated uncertainty (RLCD), TypeSafe AI Jev benchmark audit, and in-browser WebGPU playground

Dohnuts builds small multimodal models for direct decisions. -> System One model

Awesome list of Jev use cases. Compared with GPT Models (LLMs) across on cost and speed.

⚡ Foq — the FREE, local, open-source alternative to Jev. Typed System 1 decisions in ~25 ms — no waitlist, no cloud, no per-token cost. foq.fr

A MicroPython Driver for the Waveshare ESP32-S3 4.2inch RLCD display

Zegar NTP z budzikiem MP3 dla Waveshare ESP32-S3-LCD-4.2 RLCD/ST7305, RTC PCF85063A, panelem WWW i trybami oszczędzania energii.

面向微雪 ESP32-S3-RLCD-4.2 全反射屏的 ESP-IDF 固件，支持时钟、温湿度、电量显示、Wi-Fi 配网与网络校时。

A TypeSafe-native (Jev) coding agent built on Recursive LLM Context Decomposition (RLCD), with a native macOS client

A simple desk clock built around the Waveshare ESP32-S3-RLCD-4.2 — a 4.2" reflective LCD (e-paper-like) development board.

Rust library for displays using the ST7305 driver.

ESP32-S3 RLCD desktop display for Codex quota, room sensor data, battery status, and a mood pet synced over BLE.

Text/PDF - File categorization and sorting with Typesafe AI Jev or local calibrated decision model

AI desk companion for Waveshare ESP32-S3-RLCD-4.2, showing Feishu/Lark calendar, weather, music, Codex status, reminders, and local animations.

Multilingual, non-autoregressive System 1 decision model.

Local benchmark comparing TypeSafe Jev and Laya-MLX for structured issue classification

ESP32-S3 reflective-LCD indoor air-quality station using the Sensirion SEN66, WeatherAPI, RTC, alarms, and a local web interface.

Lightweight, non-autoregressive System 1 decision model showcase for instant text classification, calibrated urgency scoring, and triage using Hugging Face Transformers and Laya