#2222nd of 31 in Skills, plugins and rules
understand-anything
Plugin that builds an explorable knowledge graph of a codebase
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- Stars
- 85.8k
- License
- MIT
- Last commit
- Oct 2026
- Last release
- Jul 2026
- Language
- TypeScript
Overview
Runs as a skill/plugin inside AI coding tools such as Claude Code, Codex, Cursor, Copilot CLI and Gemini CLI. A multi-agent pipeline combines Tree-sitter parsing with LLM summaries to build a graph of files, functions, classes and dependencies, saved to .ua/knowledge-graph.json. A web dashboard offers search, guided tours, layer views and diff impact analysis, and a separate command handles Karpathy-pattern LLM wikis.
Who it is for: Engineers onboarding to large codebases using AI coding assistants
Strengths
- Tree-sitter extracts imports and definitions deterministically, so structural edges are reproducible
- Graph is plain JSON; committed graphs can be viewed via npx with no LLM or API key
- Incremental re-analysis of changed files, plus optional post-commit auto-update hook
- Installs on 17 listed platforms, including Claude Code, Cursor, Codex and Kiro
Weaknesses
- Initial /understand run on large projects can consume a significant number of tokens
- Needs a host AI coding tool and an LLM provider to generate the graph
- Codex invokes skills with $ rather than /, so command syntax differs per platform
- Localized output limited to en, zh, zh-TW, ja, ko, ru and vi
What it needs
- no GPU
- Needs Node.js >= 18 (standalone viewer), LLM via host AI coding tool, git-lfs (optional, graphs over 10 MB)
- Models: Host-tool models, Local models via Ollama
- port 5173
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