Hi everyone, I wanted to share ChunkHound with the community in the hope someone else finds it as useful as I do. ChunkHound is a modern RAG solution for your codebase via MCP. I started this project because I wanted good code RAG for use with Claude Code, that works offline, and that's capable of handling large codebases. Specifically, I built it to handle my work on GoatDB ( https://goatdb.dev/) and my projects at work.

LLMs like Claude and GPT don’t know your codebase - they only know what they were trained on. Every time they help you code, they need to search your files to understand your project’s specific patterns and terminology. ChunkHound solves that by equipping your agent with advanced semantic search over the entire codebase, which enable it to handle complex real world projects efficiently.

This latest release introduces an implementation of the cAST algorithm and a two-hop semantic search with a reranker which together greatly increase the efficiency and capacity for handling large, complex, codebases.

I would really appreciate any kind of feedback. Thank you!