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Gives AI coding agents semantic code graphs for faster, more precise answers.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "CodeGraph" yet — see the docs or source repo.
Use CodeGraph to analyze this repository’s core modules, call relationships, and key entry points, then produce a structured overview for a new engineer.
A clear codebase overview with module responsibilities, dependencies, and main entry paths.
I need to change the retry logic after failed user login. Use CodeGraph to find the relevant functions, impact scope, and smallest safe change plan.
A list of relevant code nodes, upstream/downstream impact analysis, and suggested files and functions to edit.
Use CodeGraph to trace the call chain behind this error, identify the most likely source, and suggest a debugging priority order.
A focused call chain, the most likely failing component, and prioritized debugging steps.
Query, understand, and edit large multilingual codebases with AI knowledge graphs.
Run local semantic search and call graph analysis across codebases.
Provides function-level code dependency graphs for callers and impact analysis.
Helps AI understand code architecture through real-time relationship graphs and dependencies.
Turn code into an interactive knowledge graph for exploration, search, and Q&A.
Query code structure and cross-language relationships via MCP with auditable access logs.