# FFF — Fastest File Finder SDK for AI Agents and Editors

> A high-performance file search library written in Rust with bindings for Neovim, Python, Bun, and Node.js, designed to be the fastest and most accurate file finder available.

## Install

Save as a script file and run:

# FFF — Fastest File Finder SDK for AI Agents and Editors

## Quick Use
```bash
cargo add fff
# Or for Node.js:
npm install @fff/sdk
# Or for Python:
pip install fff-sdk
```

## Introduction
FFF (Fastest File Finder) is a Rust-powered file search SDK built for speed and accuracy. It provides sub-millisecond fuzzy file matching designed for AI coding agents, editor plugins, and CLI tools that need to locate files in large codebases instantly.

## What FFF Does
- Performs fuzzy file name matching across large directory trees in microseconds
- Provides native bindings for Neovim (Lua), Python, Bun, Node.js, and C
- Supports smart ranking that prioritizes recently edited and contextually relevant files
- Handles repositories with hundreds of thousands of files without degradation
- Integrates as an SDK so AI agents can search files programmatically

## Architecture Overview
FFF builds an in-memory index of the file tree using a trie-based structure optimized for fuzzy matching. The core algorithm is implemented in Rust for maximum throughput and minimal memory usage. Language-specific bindings are generated via FFI, and a Neovim plugin provides an interactive picker UI backed by the same engine.

## Self-Hosting & Configuration
- Add as a Rust crate, npm package, or pip package depending on your platform
- For Neovim, install via your plugin manager and configure keybindings
- Indexing is automatic on first query; re-indexes on file system changes
- Configure ignore patterns via .gitignore or custom rules
- No external services or daemon processes required

## Key Features
- Benchmarked as faster than fzf and fd for fuzzy file matching in large repos
- Smart scoring considers path depth, recency, and query similarity
- Zero-dependency Rust core with no runtime overhead
- Neovim plugin replaces built-in file finders with a faster alternative
- Designed for embedding in AI agent tool harnesses

## Comparison with Similar Tools
- **fzf** — general-purpose fuzzy finder CLI; FFF is an embeddable SDK optimized specifically for file paths
- **fd** — fast file finder CLI; FFF focuses on fuzzy matching rather than glob-based search
- **ripgrep** — searches file contents; FFF searches file names and paths
- **telescope.nvim** — Neovim fuzzy finder; FFF provides a faster backend engine
- **Glob tool** — basic pattern matching; FFF adds fuzzy scoring and intelligent ranking

## FAQ
**Q: How does FFF compare to fzf in benchmarks?**
A: FFF is typically faster for file-path-only searches because its index structure is specialized for that use case, whereas fzf is a general-purpose line filter.

**Q: Can I use FFF outside of Neovim?**
A: Yes. It is an SDK with bindings for Python, Node.js, Bun, and C. The Neovim plugin is one consumer of the library.

**Q: Does it watch for file system changes?**
A: It can re-index incrementally when triggered, but it does not run a persistent file watcher by default.

**Q: What is the memory overhead for indexing a large repo?**
A: The trie-based index is compact. A repo with 100K files typically uses under 50 MB of memory.

## Sources
- https://github.com/dmtrKovalenko/fff
- https://crates.io/crates/fff

---
Source: https://tokrepo.com/en/workflows/fff-fastest-file-finder-sdk-ai-agents-editors-e6488983
Author: Script Depot