Understand-Anything

Carries strong trust indicators from repository metadata

[!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.

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.

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.

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 — Go / Java / Python / Node reference with a committed graph.

What to commit: everything in .ua/ except intermediate/ and diff-overlay.json (those are local scratch). (Legacy projects use .understand-anything/ — substitute that directory name below if it's the one present.)

.ua/intermediate/
.ua/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 ".ua/*.json"
git add .gitattributes .ua/

View the dashboard without Claude Code

Once a graph has been generated and committed, anyone on the team can open it with one command — no Claude Code, no LLM, no API key. Only Node.js (>= 18) is required:

npx https://github.com/Egonex-AI/Understand-Anything/releases/latest/download/understand-anything-viewer.tgz /path/to/analyzed/project

The terminal prints a tokenized URL (http://127.0.0.1:5173/?token=…) and opens the full interactive dashboard in your browser. The project directory (default: current directory) must contain the committed data directory (, or legacy ). Everything is served read-only from local disk — no LLM calls, no data leaves your machine.

Working from a clone instead? pnpm install && pnpm --filter @understand-anything/core build, then GRAPH_DIR=/path/to/analyzed/project pnpm dev:dashboard does the same via the Vite dev server.

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.

If auto-discovery doesn't pick it up, install it manually: open Cursor Settings → Plugins, paste https://github.com/Egonex-AI/Understand-Anything into the search field, and add it from there.

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), run the install.sh above with the vscode platform.

Copilot CLI

copilot plugin install Egonex-AI/Understand-Anything:understand-anything-plugin

Kiro CLI / IDE

curl -fsSL https://raw.githubusercontent.com/Egonex-AI/Understand-Anything/main/install.sh | bash -s kiro

After installation:

• Kiro CLI: kiro-cli chat --agent understand "Analyze this project"
• Kiro IDE: The skills are symlinked into ~/.kiro/skills/ and the understand agent is written to ~/.kiro/agents/understand.json, so both are available after restarting the IDE.

For personal skills (available across all projects), run the install.sh above with the kiro platform.

Platform Compatibility