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Run local semantic search and call graph analysis across codebases.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "grepai" yet — see the docs or source repo.
Run a semantic search in this repository for the user login retry flow, then identify the core modules, entry functions, and call chain, ranked by importance.
A list of relevant code locations, key functions, and a call graph overview from entry points to critical logic.
Analyze the call relationships between the payment and order modules, map the main function call paths, and highlight highly coupled nodes.
A cross-module call graph, notes on key dependency nodes, and areas that may need refactoring or review.
Build a semantic retrieval context from the local codebase to help the AI answer, "How does the configuration loading flow work?" Include relevant files and call chains.
A structured explanation of the configuration loading flow with traceable files, functions, and call paths.
Offline code retrieval and structural analysis tools for AI agents with fewer tokens.
Provides function-level code dependency graphs for callers and impact analysis.
Analyze codebases with semantic graphs for impact, context, and PR reviews.
Access public GitHub code and docs for AI-powered development research.
Analyze local Go repository call graphs and structure for coding agents.
Search code quickly and accurately while using far fewer tokens.