Jev API 上手清单：8 个开源项目

rody @0x_rody原推发布于 2026.10.05

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Jev has been blowing up lately. If you've got the Jev API but don't know how to play around with it yet, you can just copy this checklist. (part 2) 1. typesafe-mcp Best for people who just got the API. Plug Jev into Claude Code, Claude Desktop, Codex, and Pi, and do Choice / Score / Noul anytime. https://github.com/itsmostafa/typesafe-mcp 2. jev-codex-router First have Jev judge how hard this round of programming tasks is, then decide the model tier, reasoning depth, and speed mode. https://github.com/0xNatoshi/jev-codex-router 3. Winnow Context garbage collection for Claude Code. When Read / Bash / Grep spits out a ton of stuff, Jev first judges which parts are really relevant to the current task. https://github.com/GhalebDweikat/winnow 4. jev-ultrafast A high-speed browser Agent built with Browser Use. Jev only judges "what to do, which element to click" at each step, and only calls the small model when typing is needed. Searching for a flight on Google Flights takes about 7 seconds. https://github.com/browser-use/jev-ultrafast 5. jev-mcp Ready-made Agent judgment toolkit: fact-checking, content screening, semantic ranking, classification, and information extraction. https://github.com/jkudish/jev-mcp 6. Blink Use Jev as a code repository navigator. At each directory level, judge which files are most relevant to the current issue, then keep digging down. https://github.com/ellipsis-dev/blink 7. fast-jev-compaction Context compression for Claude Code. Before each tool call, have Jev judge if there's anything still useful; delete the useless stuff, and keep the original text without rewriting it. https://github.com/tamaratran/fast-jev-compaction 8. SemDecide Turn Jev into a command-line tool. Directly classify, score, and filter in the Shell, great for hooking up to crawlers, CI, and data pipelines. https://github.com/sharziki/semdecide 9. jev-review Before code review, run it through Jev first to pick out high-risk changes, then hand them off to a pricier big model or a human. Comes with a local dashboard. https://github.com/devagrawal09/jev-review 10. json-render Vercel Labs' generative UI framework. In experiments, Jev doesn't write JSON token by token; it just handles selecting components, properties, and layouts. https://github.com/vercel-labs/json-render Copy these complete Jev blueprints, then read the full Jev setup below ↓ ↓

这条是引用着另一条写的：x.com/zodchiii/status/2101243146596384854