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- Updated Oct 2026
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Local code search for coding agents: ripgrep and BM25 shortlist function-level chunks, Jev Noul relevance questions run across parallel requests, and accepted excerpts return to Codex, Claude Code, OpenCode or Pi through MCP or the `oko ask` command.
User repository on GitHub
Repo stats from the GitHub API, cached Oct 2026.
Help your coding agent find code faster and use fewer tokens. Oko helps Codex, Claude Code, and OpenCode spend less time searching and fewer tokens reading irrelevant code. It delivers relevant source snippets through MCP, and answers a code question as you send it, so your agent can get to the task sooner. Gains vary by task and coding tool. Each benchmark's method and caveats are in its section below.
Quoted from the project's README. Read the full README.
Watch out
MIT licensed. Jev ranking needs a TypeSafe API key (keyword-only mode works without one), macOS binaries are unsigned, and Windows is not supported by the installer.
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Hacker News: Show HN: Agent Chaperone screens tool calls and results with Jev before the agent sees them.
sepehrsafari5 pointsShow HN: Agent Chaperone – Screen AI agent tool calls and results with JevRead the thread on Hacker NewsX: jev-review: a local-first score loop for coding agents
Reddit: One command to wire Jev into Claude Code, Claude Desktop, and Codex.
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