RepoMind

Understanding a new codebase is one of the hardest challenges in software development. Whether you're onboarding at a new job, contributing to open source, or debugging legacy code — existing tools like grep, GitHub search, or Copilot only scratch the surface. RepoMind goes deeper. It clones any GitHub repository, parses it at the function and class level using Tree-sitter, and indexes it using a hybrid of semantic vector embeddings and BM25 keyword search — the same approach used by leading enterprise search systems. Ask any question in natural language and a team of 8 specialized AI agents including a Code Analyst, Security Engineer, Dependency Mapper, and a Principal Reviewer collaborate to deliver a precise, confident answer with exact file:line citations. Different questions route to different expert agents via a LangGraph workflow, so a security question gets a security specialist, not a generalist. Built for production: Redis caching, Celery background jobs, Docker, Railway, Vercel, and GitHub Actions CI RepoMind isn't a prototype. It's the foundation for the future of AI-assisted code understanding.