By articultur
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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⚠️ Important Notice: GitNexus has NO official cryptocurrency, token, or coin. Any token/coin using the GitNexus name on Pump.fun or any other platform is not affiliated with, endorsed by, or created by this project or its maintainers. Do not purchase any cryptocurrency claiming association with GitNexus.
Enterprise (SaaS & Self-hosted) - akonlabs.com
Building 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 tools so AI agents never miss code.
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 — because a knowledge graph tracks every relationship, not just descriptions.
TL;DR: The Web UI is a quick way to chat with any repo. The CLI + MCP is how you make your AI agent actually 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, making it compete with Goliath models.
| CLI + MCP | Web UI | |
|---|---|---|
| What | Index repos locally, connect AI agents via MCP | Visual graph explorer + AI chat in browser |
| For | Daily development with Cursor, Claude Code, Antigravity, Codex, Windsurf, OpenCode | Quick exploration, demos, one-off analysis |
| Scale | Full repos, any size | Limited by browser memory (~5k files), or unlimited via backend mode |
| Install | npm install -g gitnexus | No install — gitnexus.vercel.app |
| Storage | LadybugDB native (fast, persistent) | LadybugDB WASM (in-memory, per session) |
| Parsing | Tree-sitter native bindings | Tree-sitter WASM |
| Privacy | Everything local, no network | Everything in-browser, no server |
Bridge mode:
gitnexus serveconnects the two — the web UI auto-detects the local server and can browse all your CLI-indexed repos without re-uploading or re-indexing.
GitNexus is available as an enterprise offering - either as a fully managed SaaS or a self-hosted deployment. Also available for commercial use of the OSS version with proper licensing.
Enterprise includes:
npx claudepluginhub articultur/gitnexus --plugin gitnexusPermanent coding companion for Claude Code — survives any update. MCP-based terminal pet with ASCII art, stats, reactions, and personality.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Consult multiple AI coding agents (Gemini, OpenAI, Grok, Perplexity, plus codex, antigravity, and grok CLIs when installed) to get diverse perspectives on coding problems
v9.52.0 - Reliability wave: tangle contextual review correction loop with hard round ceiling, progress-supervised review rounds (per-agent stall watch, descendant-tree kills), council diversity and agy pin fixes, marketplace generator source-of-truth fix, provider troubleshooting runbook and cost-expectations docs. Run /octo:setup.
Enterprise AI agent orchestration plugin with 150+ commands, 74+ specialized agents, SPARC methodology, swarm coordination, GitHub integration, and neural training capabilities
Production-grade vibe coding suite. Structured workflows from discovery to deployment: start, build, ship, fix, refactor.