MCPFast / Tools / Code intelligence graph for AI coding agents
A Memgraph-powered system indexing code, docs, and dependencies with incremental AST updates, combining graph traversal, semantic, and BM25 search.
View on GitHub→This project provides a powerful code intelligence graph designed to enhance the capabilities of AI coding agents. By leveraging Memgraph, it creates a dynamic and interconnected representation of your codebase, documentation, and dependencies. This allows AI agents to understand code context, navigate relationships, and retrieve relevant information more effectively, leading to improved code generation, debugging, and analysis.
The system indexes your code, documentation, and project dependencies into a graph database. It utilizes incremental Abstract Syntax Tree (AST) updates to ensure the graph remains synchronized with code changes in real-time. This graph structure enables sophisticated querying that combines graph traversal, semantic understanding, and BM25 search techniques. The result is a rich, queryable knowledge base about your project that AI agents can access.
This tool is specifically for developers and AI engineers building and integrating AI coding agents. If you are working on projects that require AI to understand, analyze, or generate code, this code intelligence graph can significantly boost your agent's performance. It's ideal for those looking to provide their AI agents with deep contextual awareness of their codebase and its associated documentation and dependencies.