FFF is a file search SDK for AI agents, code editors, and long-running processes that need fast, accurate file discovery across multiple programming languages and platforms.
The tool solves the problem of inefficient file searching in applications that perform repeated searches. Traditional command-line tools like ripgrep and fzf incur overhead on each invocation, making them slow for long-running processes. FFF addresses this by providing a library with an in-memory content index, a background file watcher, typo-resistant search capabilities, and frequency-ranked file access. This approach eliminates repeated initialization costs and delivers results faster than CLI tools when searches happen more than once.
Developers should choose FFF if they are building AI agents, code editors, or Neovim plugins that require embedded file search functionality. The tool is particularly suited for applications that perform multiple searches within a single session, where maintaining an indexed state provides significant performance gains. It offers bindings for Rust, Python, Node.js, Bun, C, and Lua, making it accessible across different technology stacks. The project also provides an MCP server for integration with Claude Code, Codex, OpenCode, Cursor, and Cline, reducing the number of grep roundtrips and context waste in AI-assisted workflows.
The project maintains active development with regular releases and automated Homebrew formula updates. Development is supported by sponsorships, indicating sustained investment in the tool's evolution. The codebase is written in Rust and distributed under an open-source license, with installation scripts and multiple distribution channels including Homebrew and direct binary releases.
