Overview

Graphify transforms your entire codebase—including documentation, SQL schemas, configuration files, and even PDFs—into a powerful, queryable knowledge graph. It offers a /graphify skill for popular AI coding assistants like Claude Code, Cursor, Codex, and Gemini CLI, enabling you to ask natural language questions about your project and get precise answers derived directly from your codebase.

Key Features

• Local and Deterministic Parsing: Graphify utilizes local, deterministic AST (Abstract Syntax Tree) parsing via tree-sitter for code. This means no LLM calls are needed for code analysis, ensuring privacy and speed, with absolutely nothing leaving your machine.
• Comprehensive Knowledge Graph: Ingests and links code, documentation, SQL schemas, configuration files, PDFs, images, and videos into a unified graph structure.
• Transparent Edge Explanations: Every connection within the graph is explicitly tagged as EXTRACTED (found directly in the source) or INFERRED (resolved through analysis), providing clear provenance for the relationships.
• No Vector Stores: Operates as a true graph database, allowing for direct traversal and querying of relationships rather than relying on approximate vector embeddings. This enables precise pathfinding and explanation of concepts.
• Multi-Assistant Support: Integrates seamlessly with over 20 AI coding assistants, including Claude Code, Cursor, Codex, Gemini CLI, and GitHub Copilot.
• Rich Output: Generates three key files:
  • graph.html: An interactive, browser-based visualization of your knowledge graph.
  • GRAPH_REPORT.md: A summary highlighting key concepts, surprising connections, and suggested questions.
  • graph.json: The raw graph data, ready for programmatic querying.
• LLM-Free Code Analysis: Achieves impressive benchmarks with zero LLM credits for code parsing, significantly reducing costs and improving efficiency.

Typical Use Cases

• Effortless Code Exploration: Quickly understand complex codebases by asking questions in natural language, tracing dependencies, and identifying key components.
• Enhanced Code Reviews: Gain a holistic view of code changes, understanding their impact across the entire project and verifying correctness with formal verification (available in Graphify Cloud).
• Improved Onboarding: New team members can rapidly grasp project architecture and key concepts by querying the knowledge graph instead of sifting through vast amounts of code.
• Debugging and Root Cause Analysis: Pinpoint the source of issues by tracing the path of execution or data flow across different parts of your system.
• Knowledge Management: Centralize and make searchable all project-related information, from code to design documents and technical specifications.
• Agentic Development: Empower AI agents with deep, context-aware memory of your codebase to reduce token spend and improve accuracy.