The context engine for Enterprise Codebases
Indexes any codebase into a knowledge graph — every dependency, call chain, cluster, and execution flow — then exposes it through smart MCP tools so AI agents never miss code.
Gitnexus_CLI.1.mp4
Like DeepWiki, but deeper. DeepWiki helps you understand code. GitNexus lets you analyze it — a knowledge graph tracks every relationship, not just descriptions.
TL;DR: The CLI + MCP makes your AI agent reliable — it gives Cursor, Claude Code, Antigravity, Codex, and friends a deep architectural view of your codebase so they stop missing dependencies, breaking call chains, and shipping blind edits. Even smaller models get full architectural clarity. The Web UI is a quick way to chat with any repo in the browser.
# 1. Index your repo (run from repo root)
npx gitnexus analyze
# 2. Connect your editors (one-time, auto-detects Claude Code, Cursor, Codex, …)
npx gitnexus setupThat's it. analyze indexes the codebase, installs agent skills, registers Claude Code hooks, and creates AGENTS.md / CLAUDE.md context files — all in one command. setup writes the MCP config so your AI agent can use the graph.
Install problems? npm 11 crash · slow cold install · no C++ toolchain
On npm 11.x?
npxcan crash during install withCannot destructure property 'package' of 'node.target'(an npm/arborist bug, before GitNexus runs). Use pnpm instead — it builds the native deps explicitly:pnpm --allow-build=@ladybugdb/core --allow-build=gitnexus --allow-build=tree-sitter dlx gitnexus@latest analyzeOr install globally (
npm install -g gitnexus@latest) and rungitnexus analyze. See #1939.
Fastest MCP startup: install globally (
npm i -g gitnexus) before runninggitnexus setup— this writes an absolute-path MCP config that bypassesnpxentirely. On a cold cache, an