Files-DB
Provides LLM coding agents with vector search capabilities for software projects via the Message Control Protocol (MCP).
About
Files-DB is a local vector database system designed to enhance LLM coding agents with fast and efficient search capabilities for software projects. Operating through the Message Control Protocol (MCP), it automatically detects project structures, monitors file changes in real-time, and employs semantic vector search using open-source Hugging Face models for code embeddings. It's designed for zero configuration and seamless integration with tools like Claude Code, caching models for quick subsequent startups.
Key Features
- Zero Configuration: Auto-detects project structure with sensible defaults
- Real-Time Monitoring: Continuously watches for file changes
- Vector Search: Semantic search for finding relevant code
- MCP Interface: Compatible with Claude Code and other LLM tools
- Open Source Models: Uses Hugging Face models for code embeddings
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Use Cases
- Enabling LLMs to efficiently search and understand codebases.
- Providing context to LLMs for code generation and debugging.
- Accelerating the development process by quickly finding relevant code snippets.
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