CodeGraph is an innovative open-source tool that creates a pre-indexed knowledge graph of your codebase, specifically optimized for AI coding assistants such as Claude Code, Codex, Cursor, and OpenCode. By pre-indexing the code structure, relationships, and dependencies, CodeGraph significantly reduces the number of tokens and tool calls required during AI-assisted development sessions. This leads to faster responses, lower API costs, and a smoother developer experience. The tool is particularly beneficial for large codebases where context windows are easily exhausted. Developers can integrate CodeGraph into their existing workflows with minimal setup, and it supports multiple programming languages. For teams leveraging AI coding tools, CodeGraph represents a practical optimization that enhances productivity without sacrificing code quality. The project is available on GitHub under the MIT license, encouraging community contributions and customization.
CodeGraph is a pre-indexed code knowledge graph designed for AI coding tools like Claude Code, Codex, Cursor, and OpenCode. It aims to reduce token usage and tool calls, making AI-assisted coding more efficient and cost-effective.