Compare AI tools

	Galileo AI B	GitNexus A	Fathom S	Ollama S
Tagline	Prompt to UI design. Figma-ready outputs.	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.	Meeting notes, free forever for individuals.	Run LLMs locally. One-line install, GUI optional.
Category	Design	Coding	Meetings	Dev Platform
Pricing	Free trial + paid plans	Free (MIT open source)	Free for individuals + $15-$29/user/mo teams	Free + open source
Best for	Designers brainstorming first drafts.	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.	Solo operators, freelancers, small teams on a budget.	Devs wanting offline/local LLMs for privacy or experimentation.
Strengths	Prompt-to-UI with real layouts Exports to Figma Faster than hand-designing from scratch	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	Unlimited free tier for solo use Strong summaries + action items Works in Zoom, Meet, Teams	Run Llama, Mistral, Qwen, etc. on your laptop Simple CLI + API Hardware-aware (picks the right quant)
Weaknesses	Output needs designer polish Pricing unclear / changes often	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	Bot-joining model Team features gated	Needs beefy laptop for larger models Speed way behind cloud APIs
Kai's verdict	B-tier. Useful for first drafts. v0 is the better bet for shipping code.	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 solo + free. The best free option, hands down.	S-tier for local inference. If you care about privacy or want to tinker, install this today.
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