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Parse local codebases into dependency graphs for AI-powered structural code understanding.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Graft" yet — see the docs or source repo.
Use Graft to analyze this local repository, build a ranked dependency graph, and explain the core call chain, key entry files, and potential high-coupling points between the auth and profile modules.
A dependency overview, key file list, and an explanation of module structure and coupling risks.
Use Graft to extract structural code context for the payment flow, focusing on order creation, payment confirmation, and rollback paths, then summarize it for an AI coding assistant.
A structured context summary for AI, enabling more accurate code generation or edits.
Use Graft to analyze which modules, services, and test files would be affected by refactoring the cache layer interface, and rank the review order by dependency strength.
A list of affected areas, dependency-based ranking, and a suggested refactor review order.
Analyze codebases with graph-powered reasoning to uncover structure and dependencies.
Index codebases into Neo4j for analysis, dependency mapping, and impact assessment.
Provides function-level code dependency graphs for callers and impact analysis.
Helps AI understand code architecture through real-time relationship graphs and dependencies.
Build a knowledge graph from repos for Q&A and implementation planning.
Gives AI coding agents a structural map of your repository fast.