jegrep
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
noul: text signal only: the cited file contains their request or answer shape 仅文本信号:引用的文件里出现了它们的请求或回答格式
a person read the call site 有人读过调用点 · · Cited file / 引用的文件: src/jev.rs
Summary · 摘要
Semantic grep for code with no index or embeddings: Jev nouls judge each path, then the passages read, against your description, each a yes probability so thresholds hold across batches; hits come back as line ranges. The author puts a typical search over a few thousand files at about $0.005.written by a model
不建索引、不用向量嵌入的代码语义 grep:用 Jev 的 noul 先判断每个路径、再判断读到的段落是否符合你的描述,每个都给出“是”的概率,所以阈值在各批之间可比;结果以行范围返回。作者估计,在几千个文件中做一次典型搜索约花 0.005 美元。模型撰写机翻
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/jegrep.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
AutoGPT TypeSafe blocks
Seven production blocks — choice, score, yes/no, ask-many, route, pick-best, filter — with a UTF-8 byte budget, verbatim wire capture and eleven test files.
OpenViking: retrieval reranking
One Noul per candidate document in a single batched request, with the yes-probability used directly as the relevance score.
oh-my-pi
⌥ Coding agent with the IDE wired in
FastMCP jev_search transform
Two-stage MCP tool search: a wide Choice coarse-ranks the whole catalogue, then a shortlist gets full descriptions plus one Noul each to decide whether it does the job at all.
jcode: memory recall without embeddings
Replaces the whole retrieval stack for memory recall — no embeddings, no BM25, no reranker — with one batched Noul per candidate memory.