LLMs are great at writing code, but terrible at showing you the big picture of a massive architecture. Until now.
Understand Anything acts as a visual multi-agent pipeline that scans your codebase, docs, or knowledge bases, transforming them into navigable, interconnected maps of ideas and functions.
⚡ Core Features:
<ul>
<li>Guided Tours: Auto-generated walkthroughs of your architecture ordered by dependency.</li>
<li>Persona-Adaptive UI: The dashboard adjusts details whether you are a junior dev, PM, or tech lead.</li>
<li>Layer Visualisation: Automatic grouping by layers (API, Service, Data, UI) with color-coded legends.</li>
<li>Wiki/Doc Analyzer: Turn any LLM wiki or markdown docs into a force-directed knowledge graph with community clustering.</li>
</ul>
It’s open-source, powerful, and ready to deploy with your favorite CLI tools.
Repo: <a href="https://github.com/Lum1104/Understand-Anything" target="_blank" rel="noopener nofollow">https://github.com/Lum1104/Understand-Anything</a>

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Understand Anything is an open-source plugin for Claude Code and Cursor that transforms codebases, docs, and knowledge bases into interactive, navigable graph visualizations. It features auto-generated dependency-ordered architecture tours, persona-adaptive UI for different roles (junior dev, PM, tech lead), automatic layer grouping (API, Service, Data, UI), and a wiki/doc analyzer that converts markdown into force-directed knowledge graphs with community clustering.

The ultimate Claude Code & Cursor plugin: Visualise codebases as interactive graphs

Wow, this will help me understand better and have a good overall view.

I’ve tried it in my react native project.
Overall, it’s good for helping visualize the whole structure of the project, nice dashboard with react-flow our of the box.
But there’s a fatal side if it too. When using it in a large project, the json that is generated is just way too big, making it hard to commit to git.

Neat, perfect for introducing a new / unfamiliar architecture to a new hire or new project contributor.