Jev ecosystem projects — page 3

The open, local take on Jev: typed decisions from an LLM, without generating a single token

Open, Jev-compatible System One decision server on DiffusionGemma

A curated, source-backed list of projects built with Jev, TypeSafe AI's System One model for typed decisions.

A TypeSafe/Jev agent that plays Super Mario Bros. from structured emulator state.

Standalone Android agent for Mobilerun where Jev makes every decision, with a live React studio and an Uber demo.

Run Laya, the open-source Jev-compatible System-1 decision model, from Node.js / TypeScript via ONNX Runtime

Route to the cheapest model in claude code for your task using jev-router

A family of System One-style models fine-tuned from Qwen3.5, designed for one-pass typed decisions with calibrated probabilities.

微信消息意图识别悬浮窗（macOS）：看屏 + 本地小模型判断意图和风险，再按话术生成回复候选。纯只读、不注入微信。

A curated list of awesome Jev / TypeSafe System One applications, libraries, and resources.

One person can become their own super-analyst. Try it online: https://myaistock.top

Ask your Postgres tables questions in plain language. A PostgreSQL extension powered by TypeSafe's Jev.

Fast, cheap, typed judgments from TypeSafe's Jev model, as MCP tools.

Jev-compatible API endpoint based on open models (prefill-only)

Turn local language models into Jev-style structured decision models. Get results from text and images with prefill alone—no token-by-token decoding required.

An mcp connector to evaluate anything fast and cheap. Give your AI agent direct access to typesafe ai's jev model and open weight models like laya

Drop-in TypeSafeClient replacement backed by LLM APIs

AgentJev-0.6B - a fast 'System One' decision model for AI Agents: feed it any unstructured state (diffs, traces, logs) and structured questions, get calibrated probability distributions back in one ~50ms forward pass. Zero output-token decoding.

Build calibrated AI Functions from human feedback using Jev and GEPA.

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

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

Control a real browser by voice. Jev (TypeSafe System One) decides intent + target in ~300 ms per spoken word; Playwright acts — often before you finish the sentence.

884 verified examples of Jev — TypeSafe AI's System One decision model — indexed by the decision each one makes, not the blog that mentioned it. Every cited call site is re-read by CI each week. Bilingual EN/中文, JSON schema, and a cross-platform compatibility table.

An educational Jev-like visual inference experiment on Apple Silicon: shared context, direct candidate scoring, and local visual demos.