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Side-by-side: what they do, what they cost, what Kai actually thinks. Pass up to 4 tools via ?tools=claude,chatgpt,gemini.
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OpenRouter
S
GitNexus
A
Perplexity
S
Gemini
A
TaglineOne API, every model. Pay-as-you-go, no subscriptions.An open-source, MCP-native knowledge graph engine that gives AI coding agents (Cursor, Claude Code, Windsurf) genuine structural awareness of your codebase before they touch a single line.AI search done right. Cited answers, not chat theater.Google's answer. Best integrated with Workspace + free for a lot.
CategoryDev PlatformCodingResearchChatbots
PricingPay per token — model-dependentFree (MIT open source)Free + $20/mo ProFree + $20/mo Advanced (bundled with 2TB Drive)
Best forDevelopers experimenting across models. Apps that want fallback logic.Developers working in large or unfamiliar codebases who want their AI coding agent to stop making confident, structurally blind edits — especially Claude Code power users.Replacing Google for any question where you want a cited answer in seconds.Anyone already on Google, research tasks, summarizing long documents.
Strengths
  • 300+ models from one endpoint
  • Automatic fallbacks between providers
  • No subscription — just pay what you use
  • Pre-computes a full dependency graph (functions, imports, class inheritance, execution flows) via Tree-sitter ASTs — agents query structure, they don't guess at it
  • Zero-server, privacy-first: CLI runs entirely locally with no network calls; browser UI processes code client-side and never uploads it
  • Deepest Claude Code integration on the market: MCP tools + agent skills + PreToolUse/PostToolUse hooks that auto-enrich searches and auto-reindex after commits
  • One global MCP server handles multiple indexed repos — set up once with npx gitnexus setup and forget it
  • detect_impact and generate_map MCP prompts give pre-commit blast-radius analysis and auto-generated Mermaid architecture docs
  • Sources every claim
  • Fast, current answers
  • Pro Search runs multi-step research
  • Spaces for persistent context
  • Native Google Workspace integration
  • Very long context (1M+)
  • Deep Research feature
  • Free tier is generous
Weaknesses
  • Slight markup over direct API
  • Some provider features not exposed
  • Browser-side RAG has hard ceilings: WASM heap limits constrain embedding model quality compared to server-side tools; monorepos or repos >50k files hit practical walls
  • Community-built and not officially maintained — velocity and long-term support depend on contributor goodwill
  • Claude Code gets the full integration experience; other editors (Windsurf, Cursor) get progressively less — value is uneven depending on your editor
  • Not a general chatbot
  • Answers can be shallow on complex topics
  • Writing quality trails Claude
  • Over-refusals on edge content
  • UI is cluttered
Kai's verdictS-tier for model-shopping. I use this for every prototype before committing.GitNexus solves a real and underappreciated problem: AI coding agents are syntactically fluent but architecturally blind, and plugging a pre-computed knowledge graph into the MCP layer is the right fix. 28k GitHub stars in days suggests the pain is widely felt — just go in knowing it's a community project, not a polished product. (Verdict pending Phi's full review.)S-tier for search. I use it before Google now. If you're still Googling everything, try this for a week.A-tier. The Deep Research feature is genuinely useful. Don't sleep on it if you're already paying Google.
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