Overview

FFF is a revolutionary file search toolkit engineered for peak performance and unparalleled accuracy, serving both human users and advanced AI agents. It dramatically accelerates file and content searching across various environments, from code editors like Neovim to custom AI applications. FFF's core innovation lies in its speed and intelligence, consistently outperforming established CLIs like ripgrep and fzf in demanding, long-running processes.

Key Features

• Blazing-Fast Search: Experience near-instantaneous file and content searches, optimized for efficiency.
• Typo-Resistant & Fuzzy Matching: Robust search capabilities that gracefully handle typos and support fuzzy matching for greater flexibility.
• Frecency-Ranked Results: Files you frequently access are intelligently ranked higher, ensuring your most relevant results are always at your fingertips.
• Lightweight In-Memory Indexing: Utilizes an efficient in-memory index for rapid lookups without significant resource overhead.
• Background Watcher: Seamlessly stays updated with file system changes in the background.
• AI Agent Integration: Designed to empower AI agents with faster, more accurate, and token-efficient file search capabilities, reducing context wastage and speeding up responses.
• Definition-First Hinting: Identifies and prioritizes code definitions, further optimizing AI comprehension.
• Smart-Case & Auto-Fuzzy Fallback: Automatically adjusts case sensitivity and falls back to fuzzy matching when exact matches are scarce.
• Git-Aware Annotations: Highlights modified, untracked, and staged files, providing context-aware search results for developers.
• Multi-Language SDKs & Libraries: Available as a Neovim plugin, a Node.js/Bun SDK, a Rust crate, and a C library, offering flexibility for diverse development needs.

Typical Use Cases

• Enhanced Code Editor Experience: Integrate FFF into editors like Neovim for lightning-fast file navigation, content searching, and context-aware queries.
• Accelerated AI Agent Operations: Equip AI agents (e.g., Claude Code, Cursor, Copilot) with superior file search tools, enabling them to perform tasks like code retrieval, refactoring, and bug fixing with unprecedented speed and accuracy.
• Custom CLI Tool Development: Build powerful command-line interfaces for file discovery and content analysis.
• IDE Plugin Development: Create sophisticated plugins for various IDEs that leverage FFF's performance and intelligence.
• Automated Code Analysis: Integrate FFF into CI/CD pipelines or static analysis tools for efficient code scanning and pattern detection.