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Index repositories for symbols, call graphs, history, and repo memory.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "rag-rat" yet — see the docs or source repo.
Please index this repository first, then summarize the main modules, key symbols, and entry files.
A repo overview with core files and key symbol summaries.
Trace the call graph for this function and explain its upstream and downstream impact in the repo.
A call path, related functions, and impact scope.
Use git/GitHub history and repo memory to explain why this implementation was designed this way.
An explanation grounded in commits and repo memory.
Build a searchable code graph so AI agents can understand repositories precisely.
Build a self-hosted RAG pipeline for code search, findings, and CI integration.
Index local Git repos for fast code search and snippet retrieval.
Build local codebase memory for AI agents with search and architecture insights.
Use authenticated MCP tools for graph-augmented and hybrid RAG retrieval.
Gives AI coding agents a structural map of your repository fast.