colbymchenry/codegraph: README-based editorial guide
A guide grounded in the README, repository metadata, and license for installing and checking colbymchenry/codegraph.
Project scope
colbymchenry/codegraph describes itself in the README as "Pre-indexed code knowledge graph, auto syncs on code changes, for Claude Code, Codex, Gemini, Cursor, OpenCode, AntiGravity, Kiro, and Hermes Agent , fewer tokens, fewer tool calls, 100% local". This article keeps to facts that can be checked in the repository. Stars, forks, and promotional badges are signals of attention, not proof of quality. Under "Supercharge Claude Code, Cursor, Codex, OpenCode, Hermes Agent, Gemini, Antigravity, and Kiro with Semantic Code Intelligence", the README says: The fastest complete code graph · surgical context · built for how agents actually work · 100% local. That establishes the project's stated boundary, not a production test.
Suitable use cases
The README's "Built for speed , the Rust kernel" section gives a useful starting point for deciding whether the project fits: On a 2-core / 6GB VPS: the same graph, from a pipeline tuned to finish , the Linux kernel (70k files, 2M symbols, 6.4M relationships) indexes to completion in under 12 minutes where RAM-first designs run out of memory before reaching 1%.. If that problem is not yours, popularity is a poor reason to adopt it. Project names, commands, and component names are kept as written so a reader can return to the primary source without guessing at terminology. Another checkable README item is: On a workstation: the full parallel pipeline , native parse workers, a multi-worker resolver pool that engages the moment it pays for itself, memory-gated analysis caches.. It can shape a first test, but it does not replace testing in the intended environment.
How it works
The operating model is spread across sections such as "1. Install the CLI". The source evidence includes: No Node.js required , one command grabs the right build for your OS:. This article does not turn missing architecture, performance, or security details into claims. A real deployment still needs a look at the repository layout, configuration files, and release history.
Installation and first run
Start installation from the README's documented entry point. A command that can be checked in the source is: # 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 When the README contains no runnable command, this article does not invent one. Open its "Supercharge Claude Code, Cursor, Codex, OpenCode, Hermes Agent, Gemini, Antigravity, and Kiro with Semantic Code Intelligence" section and confirm system dependencies, default ports, and first-run initialization before using a public server.