Codegraph: Pre-indexed knowledge graph cuts Claude/Cursor tool calls by 94%
Colbymchenry released Codegraph, a tool that leverages Claude's Explore Agents to build and query a pre-indexed knowledge graph — containing symbol relationships, call graphs, and code structure — instead of scanning files repeatedly. According to the author, this reduces API tool calls by up to 94% and speeds up agent usage by roughly 77%.
Benchmark results
| Codebase | With CG | Without CG | Improvement |
|---|---|---|---|
| VS Code (TypeScript) | 3 calls, 17s | 52 calls, 1m 37s | 94% fewer, 82% faster |
| Excalidraw (TypeScript) | 3 calls, 29s | 47 calls, 1m 45s | 94% fewer, 72% faster |
| Claude Code (Python+Rust) | 3 calls, 39s | 40 calls, 1m 8s | 93% fewer, 43% faster |
| Claude Code (Java) | 1 call, 19s | 26 calls, 1m 22s | 96% fewer, 77% faster |
| Alamofire (Swift) | 3 calls, 22s | 32 calls, 1m 39s | 91% fewer, 78% faster |
| Swift Compiler (Swift/C++) | 6 calls, 35s | 37 calls, 2m 8s | 84% fewer, 73% faster |
The tool is open source and runs locally, meaning no code is sent to external APIs for indexing. For developers using Claude, Cursor, Codex, or OpenCode API agents, this directly reduces the number of tool calls — which is especially relevant given the recent Claude API pricing model.
Who it's for: Developers using AI coding agents on medium-to-large codebases who want to cut API costs and speed up agent response times.
📖 Read the full source: r/LocalLLaMA
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