Skip to content

Jev directory

Jev Search — superagents-lab

A web-search app where Jev picks sources, time ranges, and query terms, then ranks results from a dozen engines through Search1API, returning links and relevance scores instead of generated answers.
Stars
538
Language
TypeScript
License
MIT
Reading time
3 min
Published by
Community
Author
superagents-lab
Last verified
Sep 2026

superagents-lab/jev-search

Organization repository on GitHub

View on GitHub

Search the web with TypeSafe's Jev: source selection, query understanding and relevance ranking. Built with Search1API.

Forks
65
Last pushed
Updated Oct 2026

Repo stats from the GitHub API, cached Oct 2026.Homepage

About this project

Search the web in plain language. A decision model such as TypeSafe's Jev, Cloudflare's Clef or OpenAI's GPT-6 Luna chooses sources, time ranges and search terms, then ranks the results returned through Search1API. You get links and snippets, with visible relevance scores and editable filters. No generated answers. Install it from the browser as an app (Add to Home Screen on iOS, Install app on Chrome and Edge). Searches still need a network connection; the installed app caches only an offline page, not results.

Quoted from the project's README. Read the full README.

Highlights

  • Covers Google, DuckDuckGo, Yandex, Hacker News, Reddit, GitHub, X, arXiv, YouTube, Wikipedia, IMDb, and WeChat.
  • Streams newline-delimited JSON events (intent, found, lane, done) from POST /api/ask.
  • Each engine gets a 15-second deadline inside an overall 30-second request deadline.
  • Supports TypeSafe, Vercel AI Gateway, and Cloudflare Workers AI as Jev providers.

Watch out

Needs a Search1API key plus credentials for a Jev provider, and a single search can make several billable provider calls.

Questions about this entry

Short answers drawn from the linked project or page.

Reactions & coverage

Posts, threads, and videos about this entry from around the web.

X: Search and tagging on keep.md

X: LinkedIn bookmarks search

X: 1,066 reaction videos, searchable

X: Intent-based search in a Chrome extension

Other listings of this project

Forks and copies of this project in the directory. This entry is the canonical one.

9GitHub stars
Line-oriented semantic search that adds a Jev meaning pass over your own shortlisted files next to exact search. Real search is the default with a key, while dry-run previews the payload offline with no network or credentials.
Jev Practices & Patterns#community#awesomejev#catalog-import

From the Jev guides

Original write-ups on what this entry is for.

From the Jev AI model community

Posts from builders shipping with Jev right now.

Follow @typesafeai