惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

B
Blog
Microsoft Security Blog
Microsoft Security Blog
Jina AI
Jina AI
博客园 - 叶小钗
J
Java Code Geeks
博客园 - 聂微东
博客园 - 司徒正美
大猫的无限游戏
大猫的无限游戏
阮一峰的网络日志
阮一峰的网络日志
V
V2EX
美团技术团队
WordPress大学
WordPress大学
M
MIT News - Artificial intelligence
雷峰网
雷峰网
酷 壳 – CoolShell
酷 壳 – CoolShell
GbyAI
GbyAI
罗磊的独立博客
T
The Blog of Author Tim Ferriss
aimingoo的专栏
aimingoo的专栏
T
Tailwind CSS Blog
The Cloudflare Blog
Stack Overflow Blog
Stack Overflow Blog
N
Netflix TechBlog - Medium
小众软件
小众软件

Hacker News

GitHub - SeanFDZ/macmind: Single-layer transformer in HyperTalk for the classic Macintosh Show HN: Agent-cache – Multi-tier LLM/tool/session caching for Valkey and Redis Bonsai 1-bit WebGPU - a Hugging Face Space by webml-community Moving a large-scale metrics pipeline from StatsD to OpenTelemetry / Prometheus GitHub - Nightmare-Eclipse/RedSun: The Red Sun vulnerability repository GitHub - SethPyle376/hiraeth: Local AWS emulator focused on fast integration testing, with SQS support, SQLite-backed state, and a debug-friendly web UI. GitHub - macOS26/Agent: Any AI, replaces Claude Code, Cursor, OpenClaw. Over 18 LLM providers (Claude, OpenAI, Gemini, Ollama, Zai, HF, Qwen) wired into a native Mac app that writes code, builds Xcode projects, bumps versions, manages git, automates Safari, use AppleScript, JS or Accessibility, extend Agent! w/ MCP Servers, run tasks from your iPhone via Messages. YouTube now lets you turn off Shorts I Made a Terminal Pager Burgers | マクドナルド公式 Commands — HackerNews CLI documentation ChatGPT for Excel PiCore - Raspberry Pi Port of Tiny Core Linux Live Nation illegally monopolized ticketing market, jury finds Google Broke Its Promise to Me. Now ICE Has My Data. Founding Engineer at Adaptional | Y Combinator CRISPR takes important step toward silencing Down syndrome’s extra chromosome GitHub - saffron-health/libretto: The AI toolkit for building reliable browser automations US v. Heppner (S.D.N.Y. 2026) no attorney-client privilege for AI chats [pdf] Retrofitting JIT Compilers into C Interpreters IPv6 – Google The Accursèd Alphabetical Clock Cybersecurity Looks Like Proof of Work Now Fragments: April 14 Cal.com Goes Closed Source: Why AI Security Is Forcing Our Decision | Cal.com - Scheduling Software for Online Bookings Laravel raised money and now injects ads directly into your agent When moving fast, talking is the first thing to break Too much Discussion of the XOR swap trick – Heather Cafe Introduction to Spherical Harmonics for Graphics Programmers The Grand Line
GitHub - Lum1104/Understand-Anything: Graphs that teach >...
2026-05-02 · via Hacker News

Turn any codebase, knowledge base, or docs into an interactive knowledge graph you can explore, search, and ask questions about.
Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.

English | 简体中文 | 繁體中文 | 日本語 | 한국어 | Español | Türkçe

Star History Rank

Quick Start License: MIT Claude Code Codex Copilot Copilot CLI Gemini CLI OpenCode Homepage Live Demo Discord

Understand Anything — Turn any codebase into an interactive knowledge graph


Tip

A huge thank you to the community! The support for Understand-Anything has been incredible. If this tool saves you a few minutes of digging through complexity, that's all I wanted. 🚀

You just joined a new team. The codebase is 200,000 lines of code. Where do you even start?

Understand Anything is a Claude Code Plugin that analyzes your project with a multi-agent pipeline, builds a knowledge graph of every file, function, class, and dependency, then gives you an interactive dashboard to explore it all visually. Stop reading code blind. Start seeing the big picture.

Graphs that teach > graphs that impress.


✨ Features

Note

Want to skip the reading? Try the live demo in our homepage — a fully interactive dashboard you can pan, zoom, search, and explore right in your browser.

Explore the structural graph

Navigate your codebase as an interactive knowledge graph — every file, function, and class is a node you can click, search, and explore. Select any node to see plain-English summaries, relationships, and guided tours.

Structural graph — explore files, functions, classes and their relationships

Understand business logic

Switch to the domain view and see how your code maps to real business processes — domains, flows, and steps laid out as a horizontal graph.

Domain graph — business domains, flows, and process steps

Analyze knowledge bases

Point /understand-knowledge at a Karpathy-pattern LLM wiki and get a force-directed knowledge graph with community clustering. The deterministic parser extracts wikilinks and categories from index.md, then LLM agents discover implicit relationships, extract entities, and surface claims — turning your wiki into a navigable graph of interconnected ideas.

🧭 Guided Tours

Auto-generated walkthroughs of the architecture, ordered by dependency. Learn the codebase in the right order.

🔍 Fuzzy & Semantic Search

Find anything by name or by meaning. Search "which parts handle auth?" and get relevant results across the graph.

📊 Diff Impact Analysis

See which parts of the system your changes affect before you commit. Understand ripple effects across the codebase.

🎭 Persona-Adaptive UI

The dashboard adjusts its detail level based on who you are — junior dev, PM, or power user.

🏗️ Layer Visualization

Automatic grouping by architectural layer — API, Service, Data, UI, Utility — with color-coded legend.

📚 Language Concepts

12 programming patterns (generics, closures, decorators, etc.) explained in context wherever they appear.


🚀 Quick Start

1. Install the plugin

/plugin marketplace add Lum1104/Understand-Anything
/plugin install understand-anything

2. Analyze your codebase

/understand

A multi-agent pipeline scans your project, extracts every file, function, class, and dependency, then builds a knowledge graph saved to .understand-anything/knowledge-graph.json.

3. Explore the dashboard

/understand-dashboard

An interactive web dashboard opens with your codebase visualized as a graph — color-coded by architectural layer, searchable, and clickable. Select any node to see its code, relationships, and a plain-English explanation.

4. Keep learning

# Ask anything about the codebase
/understand-chat How does the payment flow work?

# Analyze impact of your current changes
/understand-diff

# Deep-dive into a specific file or function
/understand-explain src/auth/login.ts

# Generate an onboarding guide for new team members
/understand-onboard

# Extract business domain knowledge (domains, flows, steps)
/understand-domain

# Analyze a Karpathy-pattern LLM wiki knowledge base
/understand-knowledge ~/path/to/wiki

🌐 Multi-Platform Installation

Understand-Anything works across multiple AI coding platforms.

Claude Code (Native)

/plugin marketplace add Lum1104/Understand-Anything
/plugin install understand-anything

Codex

Tell Codex:

Fetch and follow instructions from https://raw.githubusercontent.com/Lum1104/Understand-Anything/refs/heads/main/.codex/INSTALL.md

OpenCode

Tell OpenCode:

Fetch and follow instructions from https://raw.githubusercontent.com/Lum1104/Understand-Anything/refs/heads/main/.opencode/INSTALL.md

OpenClaw

Tell OpenClaw:

Fetch and follow instructions from https://raw.githubusercontent.com/Lum1104/Understand-Anything/refs/heads/main/.openclaw/INSTALL.md

Cursor

Cursor auto-discovers the plugin via .cursor-plugin/plugin.json when this repo is cloned. No manual installation needed — just clone and open in Cursor.

VS Code + GitHub Copilot

VS Code with GitHub Copilot (v1.108+) auto-discovers the plugin via .copilot-plugin/plugin.json when this repo is cloned. No manual installation needed — just clone and open in VS Code.

For personal skills (available across all projects), tell GitHub Copilot:

Fetch and follow instructions from https://raw.githubusercontent.com/Lum1104/Understand-Anything/refs/heads/main/.vscode/INSTALL.md

Copilot CLI

copilot plugin install Lum1104/Understand-Anything:understand-anything-plugin

Antigravity

Tell Antigravity:

Fetch and follow instructions from https://raw.githubusercontent.com/Lum1104/Understand-Anything/refs/heads/main/.antigravity/INSTALL.md

Gemini CLI

Tell Gemini CLI:

Fetch and follow instructions from https://raw.githubusercontent.com/Lum1104/Understand-Anything/refs/heads/main/.gemini/INSTALL.md

Pi Agent

Tell Pi Agent:

Fetch and follow instructions from https://raw.githubusercontent.com/Lum1104/Understand-Anything/refs/heads/main/.pi/INSTALL.md

Platform Compatibility

Platform Status Install Method
Claude Code ✅ Native Plugin marketplace
Codex ✅ Supported AI-driven install
OpenCode ✅ Supported AI-driven install
OpenClaw ✅ Supported AI-driven install
Cursor ✅ Supported Auto-discovery
VS Code + GitHub Copilot ✅ Supported Auto-discovery
Copilot CLI ✅ Supported Plugin install
Antigravity ✅ Supported AI-driven install
Gemini CLI ✅ Supported AI-driven install
Pi Agent ✅ Supported AI-driven install

📦 Share the Graph with Your Team

The graph is just JSON — commit it once, and teammates skip the pipeline. Good for onboarding, PR reviews, and docs-as-code.

Example: GoogleCloudPlatform/microservices-demo (fork) — Go / Java / Python / Node reference with a committed graph.

What to commit: everything in .understand-anything/ except intermediate/ and diff-overlay.json (those are local scratch).

.understand-anything/intermediate/
.understand-anything/diff-overlay.json

Keep it fresh: enable /understand --auto-update — a post-commit hook incrementally patches the graph so each commit lands with a matching graph. Or re-run /understand manually before releases.

Large graphs (10 MB+): track with git-lfs.

git lfs install
git lfs track ".understand-anything/*.json"
git add .gitattributes .understand-anything/

🔧 Under the Hood

Multi-Agent Pipeline

The /understand command orchestrates 5 specialized agents, and /understand-domain adds a 6th:

Agent Role
project-scanner Discover files, detect languages and frameworks
file-analyzer Extract functions, classes, imports; produce graph nodes and edges
architecture-analyzer Identify architectural layers
tour-builder Generate guided learning tours
graph-reviewer Validate graph completeness and referential integrity (runs inline by default; use --review for full LLM review)
domain-analyzer Extract business domains, flows, and process steps (used by /understand-domain)
article-analyzer Extract entities, claims, and implicit relationships from wiki articles (used by /understand-knowledge)

File analyzers run in parallel (up to 5 concurrent, 20-30 files per batch). Supports incremental updates — only re-analyzes files that changed since the last run.


🤝 Contributing

Contributions are welcome! Here's how to get started:

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/my-feature)
  3. Run the tests (pnpm --filter @understand-anything/core test)
  4. Commit your changes and open a pull request

Please open an issue first for major changes so we can discuss the approach.


Stop reading code blind. Start understanding everything.

Star History

Star History Chart

MIT License © Lum1104