[GitHub Trending] colbymchenry/codegraph
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Pre-indexed code knowledge graph reduces tokens, novel and directly relevant.
CodeGraph pre-indexes codebases into a knowledge graph of symbol relationships and call graphs, enabling AI agents like Claude Code, Cursor, and Codex to query instantly instead of scanning files. Benchmarks across 7 real-world repos (TypeScript, Python, Rust, etc.) show average savings of 35% in cost, 57% fewer tokens, and 71% fewer tool calls. The open-source tool installs with a single command, runs 100% locally, and integrates via an MCP server.
Integrate CodeGraph into your agent orchestration pipeline to slash tool calls and costs while maintaining full local control.
For engineers building agentic workflows, CodeGraph directly reduces token consumption and latency, making AI-assisted development more efficient and cost-effective.
CodeGraph Supercharge Claude Code, Cursor, Codex, OpenCode, and Hermes Agent with Semantic Code Intelligence ~35% cheaper · ~70% fewer tool calls · 100% local Get Started No Node.js required — one command grabs the right build for your OS: # macOS / Linux curl -fsSL https://raw.githubusercontent.com/colbymchenry/codegraph/main/install.sh | sh # Windows (PowerShell) irm https://raw.githubusercontent.com/colbymchenry/codegraph/main/install.ps1 | iex Already have Node? Use npm instead (works on any version): npx @colbymchenry/codegraph