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[GitHub Trending] colbymchenry/codegraph

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actionability
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personal
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Code knowledge graph to optimize AI coding agents, directly applicable and trending.

2026-05-20 AI/ML github.com
Pre-indexed code knowledge graph for Claude Code, Codex, Cursor, and OpenCode — fewer tokens, fewer tool calls, 100% local - colbymchenry/codegraph
Summary

CodeGraph (colbymchenry/codegraph) generates a local, pre-indexed knowledge graph of symbol relationships and call graphs for AI coding agents like Claude Code, Cursor, and OpenCode. In benchmarks across 6 codebases (VS Code, Excalidraw, Claude Code, Alamofire, Swift Compiler), agents using CodeGraph averaged 92% fewer tool calls and 71% faster exploration, with zero file reads — including on a 25,874-file Swift Compiler codebase. The tool supports cross-language queries (e.g., Python+Rust in Claude Code) and uses FTS5 for full-text search.

Key Takeaways
  • Integrate CodeGraph into your AI-assisted development workflow to slash tool call costs and exploration latency, especially on large monorepos.
Why it matters

For a solutions architect focused on developer experience and AI agent orchestration, CodeGraph directly tackles the token-cost and latency inefficiency of agent-based code exploration by offloading context-building to a static analysis graph.

Author

colbymchenry