Enables AI coding agents to intelligently search and understand local codebases by intent rather than syntax.
Sponsored
FileSift is a local, open-source utility designed to empower AI coding agents with smarter codebase navigation. It allows agents to search code based on its functional intent—what the code *does*—rather than just its syntax or keywords. By offering hybrid keyword and semantic search, FileSift helps agents quickly pinpoint the most relevant code, significantly reducing wasted context and token budget on exploration, all while keeping your code secure on your local machine.
Características Principales
01Uses a daemonized embedding model for fast, near-instant searches after initial indexing
02Supports multiple integration methods: CLI, MCP Server, and Agent Skills
03Optimizes AI agent context usage by directing to relevant code directly
045 GitHub stars
05Operates entirely locally, ensuring data privacy and security
06Performs hybrid keyword and semantic search to find code by intent
Casos de Uso
01Integrating advanced code search capabilities into various AI coding agents via MCP server or custom skills
02Quickly finding relevant code files or sections based on natural language queries
03Empowering AI coding agents to perform intelligent, intent-based searches across local codebases
