<2-3 sentences summarising what the project addresses and solves, the target audience, and the benefit.> This project transforms any codebase into an interactive knowledge graph, enabling exploration, search, and Q&A. It targets developers, PMs, and designers, offering a visual map of code, dependencies, and architecture to accelerate onboarding and comprehension, especially for large or unfamiliar projects.

How It Works

A multi-agent pipeline combines static analysis with LLM intelligence. Agents scan projects, extract code elements (files, functions, classes, dependencies), identify architectural layers, and build a knowledge graph. This graph is then presented via an interactive web dashboard, offering plain-English LLM-generated explanations and visual navigation. Incremental updates and parallel analysis enhance efficiency.

Quick Start & Requirements

• Installation: Install via Claude Code plugin: /plugin marketplace add Lum1104/Understand-Anything and /plugin install understand-anything.
• Analysis: Run /understand to generate .understand-anything/knowledge-graph.json.
• Exploration: Launch the dashboard with /understand-dashboard.
• Prerequisites: Requires Claude Code environment. No other specific software dependencies are listed.
• Links: No external documentation or demo links provided in the README.

Highlighted Details

• Interactive Knowledge Graph (React Flow) visualizing code elements and relationships.
• Plain-English LLM Summaries for code understanding by technical and non-technical users.
• Auto-generated Guided Tours for architectural walkthroughs.
• Fuzzy & Semantic Search for finding code by name or meaning.
• Diff Impact Analysis to preview change effects.
• Persona-Adaptive UI adjusts detail for different user roles.
• Automatic architectural layer visualization (API, Service, Data, UI, Utility).
• Contextual explanations for 12 programming language concepts.

Maintenance & Community

Contributions are welcomed via pull requests after issue discussion. The README does not specify maintainers, sponsorships, or community channels (e.g., Discord, Slack).

Licensing & Compatibility

• License: MIT License.
• Compatibility: Permissive MIT license supports commercial use and integration with closed-source projects.

Limitations & Caveats

The project is fundamentally dependent on the Claude Code environment. Effectiveness relies on the Claude model's capabilities for analysis and summarization. Specific performance benchmarks or limitations regarding codebase size/complexity beyond the 200k-line example are not detailed.