Jev ecosystem projects — page 27

Drive the ego lite browser with Jev (TypeSafe System One): one indexed element table in, one operation + target out, single process. ~2x faster than a per-step LLM loop in our measurements.

Jev AI quickstart & FAQ — TypeSafe AI's System One model. Try it free: jevtypesafeai.com

完全本地的 NanoJev 网格决策游戏实验场，支持中文 Pygame、多关卡与 GTX 1660S 训练

Model and reasoning routing for Codex Desktop and CLI, with a Windows service and validated updates

A context compactor that can only score, never write — so an agent's memory can't hold a fact the transcript never contained. Working demo, runs offline.

Chrome extension that triages Gmail with TypeSafe's Jev model: category, priority, spam % and reply % on every email.

Catch breaking API behavior hidden in OpenAPI prose with deterministic checks and TypeSafe JEV System One semantic review.

Semantic GitHub PR labels using Jev's typed decisions, with conceptual scope instead of line counts

Jev (TypeSafe System One) vs Claude Opus 5 driving a simulated robot arm in MuJoCo

Open-source BYOK arena for Jev and other AI judges. Find failures, compare quality, cost, and latency.

Text extraction with Jev: field extraction, PII detection and exact quotes, built on TypeSafe's Jev.

Natural-language row filtering for MySQL, powered by TypeSafe Jev.

System One TypeSafe AI Rust Client (unofficial)

Testing lib for asserting the real requirement.

Jev x 海龟汤

Chrome extension that closes the tabs you don't need, judged by TypeSafe's Jev in one call. Tell it what you're doing; it shows the rest the door.

Catch AI slop before you ship.

Connect WordPress to TypeSafe's Jev System One model for structured decisions (choice, score, noul).

Experimental Jev permission gate for Claude Code via OpenRouter, with reproducible latency and cost benchmarks

Ask typed questions of your documents. Get structured signals for agentic workflows, with the page each answer came from.

Calibrated alignment verifier for LLM responses and agent plans — powered by Jev

Audit your git diff against YAML coding-standards packs using TypeSafe's Jev model, from a CLI or your AI agent's command/skill.

Browser use for coding agents, 3-5x faster than browser-use. MCP server + CLI; TypeSafe Jev decides every step in ~300 ms.

Paper trading agents on a live tape, decided every second by TypeSafe's Jev (System One). Electron desktop app.