Transforms any GitHub repository into a searchable knowledge base for AI agents.
Nancy Brain is a lightweight Retrieval-Augmented Generation (RAG) backend that enables AI assistants to instantly access comprehensive knowledge from GitHub repositories and PDF articles. It indexes full source code, live documentation, and real examples (like Jupyter notebooks and test cases), making it searchable. The system includes smart weighting, ensuring important documents are prioritized, and offers both an HTTP API and a Model Context Protocol (MCP) server connector, alongside a user-friendly web administration interface for easy management and rapid prototyping.