5191 repositories with documented relationships and source evidence.
Typed decisions from the shell: an unofficial stdlib-Python CLI and Agent Skill for TypeSafe's Jev model, via the TypeSafe API (default) or OpenRouter. Yes/no, choice and ordinal scores with calibrated probabilities, semantic grep and batch mode.
Minimal grammY Telegram anti-spam bot powered by TypeSafe Jev
RuneBench harness for TypeSafe's Jev: bounded action catalog, tick-mode controller and a live dashboard
Runtime constraints for the pi coding agent: checks every side-effecting tool call against what you said, before it runs. Powered by TypeSafe Jev.
Every code file in a pull request, judged against Uncle Bob's Clean Code by TypeSafe's Jev, then reviewed by Luna. Built on eve and Next.js.
One grounded Jev/Playwright core: typed SDK, persistent CLI, and MCP server with native browser operations and deterministic assertions.
Turn your AGENTS.md preferences into a fast, Jev-powered AI linter.
Backtest Jev (TypeSafe) as a BUY/SELL/HOLD trader on NQ L10 order-book data
A collection of my personal experimental Nuxt modules.
Behavioral agent harness — a neuro-symbolic, self-improving agent built on the behavioral-programming runtime.
Jev for Computer Use
Natural-language constraints for JEPA world-model planning, judged by a decision model instead of an LLM.
Hermes Agent plans, Jev (TypeSafe) picks bounded actions, Mineflayer executes: Minecraft with no screenshots or keypresses from a model. Includes the reproduction of rmalde/minecraft-agent's Ender Dragon run.
No project description available.
A local, offline System One server compatible with TypeSafe's Jev API. It answers typed yes/no, category and score questions with small open models.
⚡ Catch spec drift on every commit: check your code against your Markdown specs with TypeSafe AI's Jev model.
A Kotlin DSL and client for TypeSafe's Jev model
Independent measurements of typed-decision models: Jev (TypeSafe API) vs Laya (open weights), and a local-first cascade that matches Jev's accuracy at 1.8x the speed
听写纸 · Real-time speech captions with live semantic annotation (key points / emotion / intent) — Confucius4-R2T2 + TypeSafe Jev + DeepSeek
What happens when jev meets jq? Intelligence you can pipe for quick experimentation and scripts
Draw on a tldraw canvas with your voice and a pointing finger. Jev (TypeSafe System One) decides action, target and place in ~350 ms per spoken word.
LLM router that picks the cheapest model capable of handling a query, using TypeSafe's Jev for fast classification instead of an LLM call.
No project description available.
Pokemon Red on PyBoy: code owns the route and the arithmetic, Jev picks at branches in about 100 ms, calibration measured instead of assumed