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dmtrKovalenkoFast fuzzy file finder for AI agents and Neovim
Top 10.9% on SourcePulse
Fast File Finder (FFF) is a high-performance fuzzy file picker designed for both AI agents and Neovim users. It addresses the need for rapid, accurate file searching within large codebases, aiming to reduce developer friction and AI token expenditure. By offering an intuitive, typo-resistant interface and intelligent search result ranking, FFF enhances productivity for AI-assisted development and traditional Neovim workflows.
How It Works
FFF employs a Rust-based core for maximum performance in fuzzy file matching, globbing, and grepping. For AI agents, it acts as an intelligent file search tool with built-in memory, leveraging factors like frecency, Git status, and file size to suggest optimal search results, thereby minimizing token usage and improving AI's ability to locate code. Neovim users benefit from a highly responsive picker with features like live grep, multi-select, and Git status integration, all optimized for speed and usability across large repositories.
Quick Start & Requirements
curl -L https://dmtrkovalenko.dev/install-fff-mcp.sh | bash. Follow printed instructions to integrate with AI models (e.g., Claude Code, Codex).lazy.nvim or vim.pack is supported, with a build step to download prebuilt binaries or compile from source using a Rust toolchain.https://dmtrkovalenko.dev/install-fff-mcp.sh.Highlighted Details
git:modified, globbing).Maintenance & Community
No specific details regarding maintainers, community channels (like Discord/Slack), or roadmap were provided in the README.
Licensing & Compatibility
The license type and any compatibility notes for commercial use or closed-source linking are not specified in the provided documentation.
Limitations & Caveats
The debug mode is noted as being in beta, soliciting user collaboration for optimization. No other significant limitations or alpha status indicators were explicitly mentioned.
1 day ago
Inactive
mixedbread-ai