Understand Anything
Turns a codebase, wiki, or docs into an explorable graph you can search and ask questions about.
- Stars
- 89.7k
- Forks
- 7.6k
- Licence
- MIT
- Language
- TypeScript
- Last update
- 11 days ago
- Type
- Dev tool
What it is
Understand Anything is a plugin for AI coding assistants such as Claude Code. It scans a project with a multi-agent pipeline and builds a knowledge graph of its files, functions, classes, and dependencies, then provides an interactive dashboard to browse it. It is meant to help someone new to a codebase see how the pieces fit together without reading every file.
- Run /understand on a project to generate a graph saved to .ua/knowledge-graph.json
- Open the interactive dashboard with /understand-dashboard and search or click nodes
- Ask questions about the code with /understand-chat
- Generate an onboarding guide with /understand-onboard
- Analyze the impact of current changes with /understand-diff
Great for
- Developers joining a new team who need to learn an unfamiliar codebase
- People who want a visual map of how files and modules depend on each other
- Anyone who wants to check what their current changes might affect before committing
- Users of a Karpathy-pattern LLM wiki who want it shown as a linked graph
Not ideal for
- Teams with strict token or cost budgets, since the initial run on a large project can use many tokens according to the README
- Projects needing a non-AI, fully deterministic analysis tool, because it relies on LLM agents for much of its work
- People not using one of the supported AI coding platforms, since it is built as an add-on for them
How to get it
- 1
See the README
You'll need: Claude Code or another supported AI coding platform
Add the plugin marketplace in Claude Code
/plugin marketplace add Egonex-AI/Understand-AnythingInstall the plugin
/plugin install understand-anything - 2
Run it
- Install the plugin with the two commands shown in the README
- Run /understand in your project to build the knowledge graph
- Run /understand-dashboard to open the interactive dashboard
- 3
Get the most out of it
- Use --language to generate node summaries and dashboard labels in a supported language
- Run /understand --auto-update to refresh the graph on every commit via a post-commit hook
- Use /understand src/frontend to scope analysis to a subdirectory in large monorepos
- Point /understand-knowledge at a Karpathy-pattern wiki to graph linked ideas
Downloads
Strengths
- Covers multiple AI coding platforms, including Claude Code, Codex, Cursor, Copilot, and Gemini CLI
- Re-runs are incremental by default, re-analyzing only changed files
- Supports output in several languages via the --language option
Trade-offs
- The initial analysis of a large codebase can consume significant tokens
- Quality of summaries and relationships depends on the underlying LLM, which the README does not evaluate in detail
- The README is truncated, so full install steps for non-Claude platforms are not confirmed here
How it compares
| Project | Stars | Type | Level | Updated | Best for |
|---|---|---|---|---|---|
| Understand-Anything (this) | 89.7k | Dev tool | beginner | 11 days ago | Developers joining a new team who need to learn an unfamiliar codebase |
| awesome-agent-skills | 36.8k | Curated list | beginner | 4 days ago | Developers who use Claude Code, Codex, Cursor, or Gemini CLI and want ready-made skills |
| codebase-memory-mcp | 48k | Dev tool | intermediate | 4 days ago | Developers who use an MCP-capable AI coding agent on a large codebase |
| planning-with-files | 27.8k | Dev tool | beginner | 6 days ago | Developers running long multi-step tasks in Claude Code or Codex CLI |
| distilly | 26.3k | Dev tool | intermediate | 24 days ago | Developers who want an agent to answer in the style of a specific colleague or mentor |
| marketingskills | 57.9k | Learning resource | beginner | 6 days ago | Technical marketers who already use AI coding agents |
Stats synced from GitHub. The assessment above was drafted with AI from the project's README on 2026-10-29 and may miss recent changes — check the README before relying on a command. MIT licence: free to use, modify and distribute, including commercially, as long as you keep the copyright notice.