An AI-powered code repository analysis tool that builds a knowledge graph of code dependencies for precise search and question answering.
About
In the software development process, understanding the structure and logic of a large codebase is often one of the most time-consuming and challenging tasks. Traditional search tools only provide surface-level matches, failing to reveal deep dependencies between modules. Code-Graph-RAG is designed to address this pain point—it is an AI-powered code repository analysis tool that leverages Tree-sitter to accurately parse multiple programming languages, automatically builds a code knowledge graph, and gives developers unprecedented insight. Whether dealing with a legacy project you've just inherited or a complex system under continuous iteration, Code-Graph-RAG transforms scattered code files into a structured semantic network, turning 'reading code' from an experience-based task into a reusable technical capability.
Pricing & Fees
- Pricing: Not publicly listed on the pages we reviewed; check the official site for current plans.
- Free Tier: The core tool is free and open source, installable via `uv tool install` with full parsing, query, and editing features.
- Enterprise Services: Paid options include dedicated support, consulting, custom development, and custom knowledge graph relationship types for teams.
- Platform Availability: Runs as an MCP server integrated with Claude Code, using Memgraph and Qdrant, with 15 tools for indexing, querying, editing, and searching from the IDE.
- Language Support: Tree-sitter based AST parsing across 14 languages with a unified graph schema.
Who It's For
If you are a software architect who needs to regularly assess system module boundaries and identify risks of circular dependencies or excessive coupling, this tool provides visual evidence. If you are a developer new to a project and feel overwhelmed by tens of thousands of lines of unfamiliar code, the knowledge graph can act as a 'living document' to help you quickly locate core entry points and key paths. If you are a tech lead who needs to assess the impact of changes during code review or refactoring planning, Code-Graph-RAG's relationship queries significantly reduce the risk of misjudgment. Furthermore, for automation operations and security audit personnel, tracing call chains of sensitive functions through the graph greatly improves work efficiency.
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