RepoMap

Overview

RepoMap provides coding agents with architectural awareness by extracting a repository's structure and generating an interactive architectural map. This process occurs without transmitting any source code to a language learning model (LLM), resulting in an accessible format that can be utilized by both humans and AI agents to understand project architecture.

Key Benefits

Streamlined Workflow

Modern coding agents typically spend extensive time reconstructing the architecture of a project while navigating files, examining imports, and analyzing folder structures. RepoMap simplifies this by creating a deterministic structural representation that allows agents to efficiently reason over the repository’s architecture.

Cost and Time Efficiency

With RepoMap, the architectural understanding process becomes faster and less costly. Agents can resolve inquiries such as:

• Where is authentication implemented?
• Which modules are dependent on the database?
• What architectural patterns are present in the project?
• How are components interconnected?

By forming a single, reusable architectural model, RepoMap minimizes the number of tokens required for LLM interactions, ultimately enhancing architectural reasoning.

Features

RepoMap is equipped with numerous features to facilitate repository analysis, including:

• ✅ Deterministic repository analysis
• ✅ No source code sent to the LLM
• ✅ Interactive architecture graphs
• ✅ Automatic architectural role detection
• ✅ Architectural pattern recognition
• ✅ Support for multiple graph layouts
• ✅ Editable graphs with persistent branches
• ✅ Visualization of Git history
• ✅ Capability to handle large repositories

Functionality

RepoMap operates in three distinct phases:

1. Deterministic Analysis
   The analyzer extracts essential information without invoking an LLM, including:

   • Directory hierarchy
   • Import paths
   • Function signatures
   • Module dependencies
   • Git information The result is a compact RawAnalysis that describes the repository’s structure confidentially.

2. Architectural Reasoning
   The LLM receives the structured analysis to:

   • Assign architectural roles
   • Identify architectural patterns
   • Enhance module labels
   • Generate an effective visualization layout

3. Interactive Exploration
   The architecture is rendered as an editable graph featuring:

   • React Flow visualization for intuitive interaction
   • Multiple layout options
   • Editing capabilities specific to branches
   • Node inspection features
   • Viewport culling for large repositories
   • Persistent local storage for user convenience
   • Git-aware visualizations for historical context

Dynamic Architectural Insights

RepoMap not only helps in understanding the current repository structure but also integrates seamlessly with Git history, allowing users to:

• Inspect commits
• Browse branches
• Highlight added, modified, or deleted files Future updates aim to enhance this capability further by enabling architectural diff visualizations.

Designed for Coding Agents

RepoMap is tailored to integrate smoothly with tools like OpenCode and Claude, supporting a workflow where agents receive a compact structural model for reasoning, visualization, and ongoing analysis, rather than repeatedly exploring the repository.