Cartographer

Cartographer is an open-source command-line tool designed to help AI agents and large language models (LLMs) understand codebases by generating structured, hierarchical maps of project files and their relationships. It analyzes a repository's directory structure and produces concise, context-rich summaries that can be fed directly into AI coding assistants or agentic workflows. By providing a high-level "map" of a codebase, Cartographer reduces the token overhead of passing entire file trees to LLMs while preserving the architectural context needed for intelligent code navigation and generation.

• Codebase Mapping: Automatically traverses a project directory and generates a structured map of files, folders, and their relationships, giving AI agents a clear architectural overview.
• LLM Context Optimization: Produces compact, token-efficient representations of codebases so AI models can reason about large projects without exceeding context windows.
• AI Agent Integration: Designed to plug directly into agentic pipelines, providing agents with the context they need to navigate, edit, and understand code autonomously.
• Open Source: Fully open-source under a permissive license, allowing developers to inspect, modify, and extend the tool for their own workflows.
• CLI Interface: Simple command-line interface makes it easy to run Cartographer on any project directory and pipe output to other tools or AI systems.
• Configurable Output: Supports customization of output format and depth, letting users tailor the generated map to their specific use case or model requirements.

To get started, clone the repository from GitHub and run the CLI against your project directory. The output can be passed directly to an LLM or AI agent as part of a system prompt or context injection step.