jev-mcp
Project / 项目 · In the catalogue / 在目录中查看
What Jev decides here · Jev 在这里做什么决定
Output validation (输出校验), Search & ranking (检索与排序), Classification (分类), Safety gating (安全闸门)
choice, score, noul: read in the code by a person 由人在代码里读到
a person read the call site 有人读过调用点 · · Cited file / 引用的文件: src/provider.ts
Summary · 摘要
A ready-made judgement toolbox for agents: fact verification, content screening, semantic ranking, classification and extraction as separate tools.
现成的 Agent 判断工具箱：事实核验、内容筛查、语义排序、分类和信息提取，各自独立成工具。
Notes · 备注
Splitting one model into task-named tools is good agent ergonomics: the agent picks a verb rather than composing a question.
把一个模型拆成按任务命名的多个工具，对智能体很友好：它只需选一个动词，而不必自己组装问题。
Launches · 发布记录
Not launched yet. 还没有发布过。 Launch it / 发布它 ↗ · How a product launches / 怎样发布一个产品
Makers · Maker
Made this? Confirm or correct its entry / 这是你做的？确认或更正条目 ↗
The same form takes the product's one line and a demo link, in its maker's own words. 同一个表单也可以补上产品的一句话和演示链接，用 Maker 自己的话。
Badge for its README · README 徽章
[](https://kydlikebtc.github.io/awesome-jev/products/jev-mcp-jkudish.html)One line for the product's README, linked to this page. The picture says that it is listed; while it is on the launch board, that it is launching; after a week in the top three, its place. It is rebuilt with the site, so the line never needs changing. 放进产品 README 的一行，链接到本页。图片显示已收录；在发布榜上时显示正在发布；进过某周前三后显示名次。它随网站一起重建，这一行不用再改。
Also under this pattern · 同一模式的其他产品
latitude-llm
Open-source observability for AI agents that flags where agents fail in their traces. A shadow provider asks Jev one noul per flagger dimension, at most 11 per call; the cited file does not show whether those answers change any flag, and the README does not mention Jev.
reticle
Checks an agent's "done" by driving the running app and returning pass, fail or cannot tell. Its benchmark harness asks Jev, in one call on captured evidence, five nouls (did the intended consequence happen, is the capture clean, did the app error), a pass/fail/unknown choice and a severity score.
celesto
Secure and persistent computer for AI agents -- build your own Grokbot, and Muse.
atomic
Coding-agent runtime in which workflows are versioned TypeScript stages with executable checks, review gates and human approvals. Its AI package lists Jev from models.dev as a System One decision model on five providers, apart from the chat models; the README does not say where a workflow calls it.
abide
Hooks into Claude Code, Codex, OpenCode and Pi and, on every edit or turn, asks Jev one yes-or-no question per rule in AGENTS.md or CLAUDE.md, showing only the rule and the diff; a broken rule goes back to the agent to fix. On 93 replayed sessions Jev flagged 39 edits; a reviewer confirmed 10.