graphify

Generate a knowledge graph with HTML, JSON, and audit outputs from a folder.

Updated Aug 23, 2026

Search Tags:#codebase #visualization #graph #knowledge-graph #clustering #audit-trail

Ready to run

npx skills add https://github.com/HugoAlmeidaMoreira/zeus-agent --skill graphify-hugoalmeidamoreira

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: graphify
Source: https://github.com/HugoAlmeidaMoreira/zeus-agent/tree/main/skills/graphify
Command: npx skills add https://github.com/HugoAlmeidaMoreira/zeus-agent --skill graphify-hugoalmeidamoreira

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Graphify creates a persistent knowledge graph from a folder of files, producing an interactive HTML graph, a GraphRAG-ready JSON, and an audit report.

Core Features & Use Cases

It handles code, docs, papers, and images, surfacing nodes, edges, and communities with an honest, versioned trail across sessions. Use it to understand unfamiliar codebases, research corpora, or scattered notes by exploring relationships and provenance.

Quick Start

Drop a folder into graphify or point it at a path and let it generate a graph, a JSON export, and an audit report.

Frequently Asked Questions about graphify

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I turn a folder of files into a navigable knowledge graph?▼

To turn a folder into a knowledge graph, point the tool at a directory path. It extracts code ASTs, discovers document entities, and maps cross-document relationships to output an interactive HTML graph, a JSON export, and a detailed audit report.

What is codebase visualization and how does clustering reveal hidden connections?▼

Codebase visualization maps source files into an interactive graph using AST extraction and relationship clustering. This process groups related code communities together, revealing hidden structural connections and dependencies across the project.

Can I use a generated JSON knowledge graph for GraphRAG applications?▼

Yes, you can use the generated JSON knowledge graph for GraphRAG applications. The tool outputs a machine-readable JSON graph format specifically structured to support retrieval-augmented generation and downstream analysis.

Does codebase visualization work with mixed file types like docs, papers, and images?▼

Codebase visualization works with mixed file types including code, docs, papers, and images. It surfaces nodes, edges, and communities across diverse formats to help you understand unfamiliar research corpora or scattered notes.

What is the best way to audit codebase relationships across multiple sessions?▼

The best way to audit codebase relationships across sessions is to generate a persistent knowledge graph. This approach creates an honest, versioned audit trail that maintains provenance and tracks cross-document relationships over time.

Do I need any external dependencies to generate a knowledge graph from my codebase?▼

No external dependencies are required to generate a knowledge graph from your codebase. You simply drop a folder into the tool or point it at a path, and it independently handles AST extraction and graph generation.