Understand Anything: Turn Your Codebase Into a Graph You Actually Get

The problem never changes: you join a new team and inherit a codebase the size of a small novel. Files everywhere, invisible dependencies, and nobody can explain why that function talks to that other one. Most code graphs just show you how messy everything is. They don't help you understand anything.

Understand Anything flips that. It runs a multi-agent pipeline — fancy way of saying multiple AI agents team up — to scan your project and build a graph where every file, function, and class is a clickable node. Click one, get a plain-English summary, see relationships, and get a guided tour of the architecture ordered by dependency. It's like a mind map, except it actually works.

Whether you're a junior dev, a PM, or someone who just needs to get stuff done, the dashboard adapts to your level. Need to find "which parts handle auth?" Search by name or by meaning. The tool gets what you're asking for and shows you what matters.

It even does impact analysis: before you commit changes, see what parts of the system you're actually touching. Think of it as the "ripple effect" of your code — how big can the damage actually be? And if your project is layered (API, Service, Data, UI), the graph auto-colors them for you.

Works with Claude Code, Copilot, Cursor, Gemini CLI — basically any modern IDE. Installation? One line, then /understand and you're done. First run analyzes everything and generates a JSON file with the graph. Open the dashboard, and you're exploring your codebase visually — panning, zooming, semantic search, the whole deal.

Bonus: it even works on knowledge bases (Karpathy-style LLM wikis). Feed it your docs, it extracts links and categories, AI agents discover implicit relationships, and suddenly your wiki is a navigable graph of interconnected ideas.