Egonex-AI/Understand-Anything

Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.

What it solves

Navigating large, unfamiliar codebases is difficult and time-consuming. This project helps developers understand complex projects by transforming source code and documentation into an interactive, visual knowledge graph that highlights relationships between files, functions, and business logic.

How it works

It uses a hybrid approach combining deterministic static analysis (via Tree-sitter) and LLM-based semantic analysis. A multi-agent pipeline scans the project to extract structural data (like dependencies and definitions) and semantic insights (like summaries and architectural layers). This data is stored as a JSON graph, which can be explored through a web-based dashboard or queried via CLI commands. It supports incremental updates, meaning only changed files are re-analyzed after the initial scan.

Who it’s for

It is designed for software developers, team leads, and project managers who need to quickly onboard to new codebases, perform impact analysis before making changes, or document architectural flows for their team.

Highlights

  • Interactive visual dashboard for exploring code structure and business domains.
  • Multi-agent pipeline that automates documentation and architectural discovery.
  • Incremental analysis to keep the knowledge graph updated with minimal token usage.
  • Cross-platform support for various AI coding tools like Claude Code, Cursor, and VS Code Copilot.
  • Ability to export and commit the graph to version control for team-wide onboarding and documentation.

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