Built a small agent that can explore a GitHub repository, understand it in-depth, and answer questions about the codebase.

The idea is simple. When you open a new repo, most of the time goes into figuring out: - Where the main logic lives - How modules connect - How to run or debug things

This agent clones a repo, indexes files, and lets an LLM reason over the structure so you can ask questions or automate tasks.

Useful for: - Onboarding large codebases - Understanding OSS repos - Debugging unfamiliar projects - Building higher-level code agents

This came out of experiments we were doing with NEO AI for building autonomous AI Agents where agents need to read repos before modifying them.

Looking for feedback on repo indexing strategies, eval benchmarks, or similar tools people have built.