Repomix is an AI-focused development utility designed to prepare local and remote codebases for analysis, review, and automated interaction. It functions as a codebase context bundler and a Model Context Protocol server, aggregating project files into structured documents that are optimized for ingestion by large language models. By serving as a bridge between local repositories and external intelligence agents, the tool facilitates real-time codebase inspection and automated development workflows.
The system distinguishes itself through rigorous repository token management and security-conscious processing. It optimizes output by filtering, compressing, and sanitizing source code, ensuring that project data fits within specific model context windows while preventing the accidental exposure of sensitive credentials. Beyond simple aggregation, it supports the injection of version control history and custom project instructions, providing AI models with the temporal and structural context necessary for accurate analysis.
The tool offers a comprehensive suite of capabilities for managing codebase artifacts, including automated file filtering, binary exclusion, and the ability to split large outputs into manageable segments. It supports multiple output formats and integrates into development environments through command-line, graphical, and plugin-based interfaces. Furthermore, it provides automated analysis features that evaluate code quality, dependency health, and test coverage, enabling continuous integration pipelines to generate actionable insights from source code.
