#360 · Primary category: AI Coding Assistants
octocode
Code research platform for AI agents; find, understand, and prove context across your code and all of GitHub, in a fraction of the tokens. One toolset, MCP or CLI
Project last updated:08/25/26
GitHub Stars
920
Forks
75
Contributors
1
License
MIT
Why we included this project
Coding agents lose the plot fast when a question spans a large local repo and other GitHub projects at once. Octocode gives them a research tool they can call directly: it searches your local code plus external sources like GitHub repositories, PRs, and npm packages using ripgrep, structural AST matching, and language-server data, then returns compact, cited findings instead of raw output dumps. The same Rust engine runs as an MCP server for Cursor, Claude Code, or Windsurf, or as a standalone CLI that emits JSON for scripting. Setup is almost instant because there is no indexing or embedding step, and the token-conscious replies let an agent inspect a big file's shape without eating the whole context window. For PR review, cross-repo debugging, or bringing a new teammate up to speed in private repos, it turns scattered repository knowledge into evidence both the agent and its human reviewers can check.
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