Overview

Transform your codebases and knowledge bases into interactive, explorable knowledge graphs. This powerful tool goes beyond simply visualizing code; it actively helps you understand relationships, dependencies, and even business logic within your projects. Designed to integrate seamlessly with popular AI coding assistants like Claude Code, Codex, Cursor, Copilot, and Gemini CLI, it turns complex systems into digestible, searchable, and question-answerable knowledge.

Key Features

• Interactive Knowledge Graphs: Visualize your codebase, wikis, or documentation as explorable graphs where every element (file, function, class, idea) is a navigable node.
• Structural & Domain Views: Seamlessly switch between a structural view of your code and a domain-specific view that maps code to business processes, flows, and steps.
• Intelligent Search: Leverage fuzzy and semantic search to find information by name or by meaning, enabling natural language queries like "which parts handle authentication?".
• Guided Tours & Onboarding: Auto-generated walkthroughs of your architecture, ordered by dependency, simplify onboarding for new team members and accelerate learning.
• Diff Impact Analysis: Understand the ripple effects of your code changes across the entire system before you commit, reducing potential merge conflicts and bugs.
• Persona-Adaptive UI: The dashboard intelligently adjusts its detail level to suit different user roles, from junior developers to project managers.
• Multi-Platform Integration: Works natively with Claude Code and offers one-line installation scripts for a wide range of AI coding platforms, including Codex, Gemini CLI, Copilot, and more.
• Knowledge Base Analysis: Ingest and visualize knowledge bases (like LLM wikis) to uncover entities, claims, and implicit relationships, creating a network of interconnected ideas.

Typical Use Cases

• Onboarding New Developers: Quickly bring new team members up to speed by providing an intuitive, explorable map of the entire codebase and its logical connections.
• Understanding Legacy Code: Untangle complex, long-standing codebases by visualizing dependencies and business logic, making refactoring and maintenance more manageable.
• Code Reviews: Gain a comprehensive understanding of code changes and their potential impact on the system before review, leading to more effective feedback.
• Knowledge Management: Transform internal documentation, wikis, and research into a searchable, interconnected graph of information that can be easily navigated and queried.
• Architectural Analysis: Visualize the layers and components of your application, identify potential bottlenecks, and ensure adherence to architectural patterns.
• Feature Development: Quickly locate relevant code sections and understand their context within the broader system when developing new features.