By nxpatterns
Code intelligence powered by a knowledge graph. Provides execution flow tracing, blast radius analysis, and augmented search across your codebase.
Use when the user needs to run GitNexus CLI commands like analyze/index a repo, check status, clean the index, generate a wiki, or list indexed repos. Examples: "Index this repo", "Reanalyze the codebase", "Generate a wiki"
Use when the user is debugging a bug, tracing an error, or asking why something fails. Examples: "Why is X failing?", "Where does this error come from?", "Trace this bug"
Use when the user asks how code works, wants to understand architecture, trace execution flows, or explore unfamiliar parts of the codebase. Examples: "How does X work?", "What calls this function?", "Show me the auth flow"
Use when the user asks about GitNexus itself — available tools, how to query the knowledge graph, MCP resources, graph schema, or workflow reference. Examples: "What GitNexus tools are available?", "How do I use GitNexus?"
Use when the user wants to know what will break if they change something, or needs safety analysis before editing code. Examples: "Is it safe to change X?", "What depends on this?", "What will break?"
Executes bash commands
Hook triggers when Bash tool is used
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The nervous system for agent context.
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.
💬 Discord · 🌐 Web UI · 🏢 Enterprise (SaaS & self-hosted)
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 — 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 setup
That'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.
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, annpx-based MCP install can exceed Claude Code'sMCP_TIMEOUTdefault (~30s).
No C++ toolchain? Set
GITNEXUS_SKIP_OPTIONAL_GRAMMARS=1beforenpm install -g gitnexusto skip the vendored grammar materialize/build fortree-sitter-dart,tree-sitter-proto,tree-sitter-swift, andtree-sitter-kotlin— those four languages won't be parsed, but install completes in seconds withoutpython3/make/g++. Strict=1only — any other value falls through to the rebuild.
npx claudepluginhub nxpatterns/gitnexus --plugin gitnexusCodebase intelligence — semantic search workflows, dependency graph analysis, and context artifact exploration for SocratiCode
Harness-native ECC plugin for engineering teams - 67 agents, 277 skills, 92 legacy command shims, reusable hooks, rules, MCP conventions, and operator workflows for Claude Code plus adjacent agent harnesses
Code intelligence powered by a knowledge graph. Provides execution flow tracing, blast radius analysis, and augmented search across your codebase.
Graph-first code intelligence for AI agents. SurrealDB knowledge graph + 52 MCP tools replace Read/Grep/Glob with deterministic graph traversal. 80–95% fewer tokens on code context. Rust-native, fully local.
Code intelligence powered by a knowledge graph. Provides execution flow tracing, blast radius analysis, and augmented search across your codebase.
Codebase intelligence — semantic search workflows, dependency graph analysis, and context artifact exploration for SocratiCode
Codebase intelligence for AI agents. The /devlens skill teaches your agent to query a precomputed code graph (nodes, typed edges, technical/business/security summaries) via the DevLens CLI instead of grepping and reading whole files — with subcommands for architecture, diagrams, security analysis, impact, summaries, and more.
Local codebase intelligence + change-safety gates for coding agents. Pre-indexes your repo's symbols, call graph, deps, and git history into SQLite (28 languages, 100% local, zero API keys), then exposes a lean 16-tool MCP core preset: graph-precise search, callers/impact blast radius, coupling, dead code, taint reachability, and pre-merge verify/critique gates that catch regressions, broken references, AI-slop duplication, and convention drift before they ship.