Indexes local code into a graph database to provide context to AI assistants.
Sponsored
CodeGraphContext transforms your local Python code into an intelligent knowledge graph, empowering AI assistants with deep contextual understanding. It thoroughly analyzes code components, building relationships like callers, callees, and class hierarchies. The tool ensures the graph remains current with live file change updates and offers an interactive setup wizard for ease of use. This makes it an invaluable resource for advanced code analysis, development, and enhancing AI-driven interactions with your codebase.
Características Principales
01Interactive Setup: A user-friendly command-line wizard for easy setup.
02Live Updates: Watches local files for changes and automatically updates the graph.
03Code Indexing: Analyzes Python code and builds a knowledge graph of its components.
04Relationship Analysis: Query for callers, callees, class hierarchies, and more.
052 GitHub stars
Casos de Uso
01Indexing and watching local code directories to maintain an up-to-date code graph.
02Querying code for definitions, relationships, and dependencies using natural language.
03Identifying dead or unused code for quality and maintenance purposes.
