CodeGraph

Already installed? Run codegraph upgrade

Follow @getcodegraph on X for updates.

Supercharge Claude Code, Cursor, Codex, OpenCode, Hermes Agent, Gemini, Antigravity, Kiro, and GitHub Copilot with Semantic Code Intelligence

The fastest complete code graph · surgical context · built for how agents actually work · 100% local

  Kernel powered by Rust

Documentation & Website →

The CodeGraph platform is coming — for every PR, know exactly what to test, what could break, which flows are affected, and whether business logic is compromised.

_{Get early beta access to the hosted product · getcodegraph.com}

Contents

• Get Started
• Language Support
• Why CodeGraph?
• Key Features
• Framework-aware Routes
• Mixed iOS / React Native / Expo bridging
• Quick Start
• How It Works
• CLI Reference
• MCP Tools
• Library Usage
• Configuration
• Telemetry
• Verified releases
• Supported Platforms
• Supported Agents
• Supported Languages
• Measured cross-file coverage
• Troubleshooting
• License

Get Started

1. Install the CLI

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)

npm i -g @colbymchenry/codegraph

_{CodeGraph bundles its own runtime — nothing to compile, no native build, works the same everywhere. The installer puts codegraph on your PATH but doesn't change your current shell — open a new terminal before the next step so the command resolves.}

_{Upgrade any time with codegraph upgrade — it detects how you installed (bundle, npm, or npx) and updates in place. Add --check to see if an update is available, or codegraph upgrade <version> to pin one.}

2. Wire up your agent(s)

In a new terminal, run the installer to connect CodeGraph to the agents you use:

codegraph install

_{Detects and auto-configures Claude Code, Cursor, Codex CLI, opencode, Hermes Agent, Gemini CLI, Antigravity IDE, Kiro, and GitHub Copilot (VS Code, Copilot CLI, JetBrains IDEs) — wiring the CodeGraph MCP server into each. This is the step that connects CodeGraph to your agent; installing the CLI in step 1 does not do it on its own. It only wires up your agent — it does not index any code; building each project's graph is the separate codegraph init in step 3. (Shortcut: npx @colbymchenry/codegraph downloads and runs this in one go.)}

3. Initialize each project

cd your-project
codegraph init

_{codegraph init creates the local .codegraph/ directory and builds the full graph in the same step — one command, done.}

4. No more syncing!

Auto-sync is enabled by default. CodeGraph watches the project and updates the graph on every file change — while your agent edits code, or you add, modify, or delete files. The index is never stale, and there is nothing to re-run.

Uninstall

Changed your mind? One command removes CodeGraph from every agent it configured and the CLI itself — every install it finds (standalone bundle, npm global package, launcher link), shown to you before anything is deleted:

codegraph uninstall

Pass --keep-cli to remove only the agent configurations and keep the CLI installed.

_{Reverses the installer — strips CodeGraph's MCP server config, instructions, and permissions from each configured agent. Your project indexes (.codegraph/) are left untouched; remove those per-project with codegraph uninit. Use --target to remove from specific agents, or --yes to run non-interactively.}

Language Support

Every language below gets the same treatment — full structural extraction and cross-file resolution into one graph, no per-language setup:

_{Per-language details — extensions, frameworks, and what exactly gets extracted — in Supported Languages.}

Why CodeGraph?

When an AI agent needs to understand code — to answer a question or make a change — it discovers structure the slow way: grep, glob, and Read, one file at a time, rebuilding call paths and dependencies by hand. That's a pile of tool calls and round-trips before it even starts the real work.

CodeGraph hands the agent the exact code it needs in one call. It's a pre-built knowledge graph of every symbol, call edge, and dependency in your codebase — so instead of crawling files, the agent asks one question and gets back the relevant source, the call paths between those symbols (including dynamic-dispatch hops grep can't follow), and the blast radius of a change. Surgical context, not a file-by-file search — which means fewer tool calls and faster answers on every codebase, large or small.

A note on cost: CodeGraph's win on every codebase is precision — the agent stops crawling files and answers from the graph. On current models that precision is also a large direct saving: the 2026-08 re-measurement, on a harness that blocks the CLI in both arms, put it at 44% lower cost and 62% fewer tokens on average across the seven benchmark repos, because a strong model without the graph burns its budget re-deriving structure. Cost tracks how much discovery a question demands more than raw repo size: 57–78% on questions the file-reading agent needed 28–43 tool calls to answer, near-even where it got there in 7.

A note on context: the numbers above measure throughput — tokens processed, tools called, dollars spent to reach one answer. They don't measure what is still sitting in your context