The context engine for Enterprise Codebases
Indexes any codebase into a knowledge graph β every dependency, call chain, cluster, and execution flow β
then exposes it through smart MCP tools so AI agents never miss code.
π¬ Discord Β·
π Web UI Β·
https://github.com/user-attachments/assets/172685ba-8e54-4ea7-9ad1-e31a3398da72
> _Like DeepWiki, but deeper._ DeepWiki helps you _understand_ code. GitNexus lets you _analyze_ it β a knowledge graph tracks every relationship, not just descriptions.
**TL;DR:** The **CLI + MCP** makes your AI agent reliable β 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.
## Quick Start
```bash
# 1. Index your repo (run from repo root)
npx gitnexus analyze
# 2. Connect your editors (one-time, auto-detects Claude Code, Cursor, Codex, β¦)
npx gitnexus setup
```
That's it. `analyze` indexes the codebase, installs agent skills, registers Claude Code hooks, and creates `AGENTS.md` / `CLAUDE.md` context files β all in one command. `setup` writes the MCP config so your AI agent can use the graph.