# Repomix: Efficiently Prepare Your Codebase for Large Language Models This repository profile is provided by osrepos.com, an open source repository discovery platform. Source: osrepos.com Repository profile: https://osrepos.com/repo/yamadashy-repomix Generated for open source discovery and AI-assisted research. Repomix is an innovative tool designed to package your entire codebase into a single, AI-friendly file. This makes it incredibly easy to feed your projects to various Large Language Models (LLMs) and other AI tools, streamlining code analysis and interaction. It supports a wide range of AI platforms, enhancing developer workflows. GitHub: https://github.com/yamadashy/repomix OSRepos URL: https://osrepos.com/repo/yamadashy-repomix ## Summary Repomix is an innovative tool designed to package your entire codebase into a single, AI-friendly file. This makes it incredibly easy to feed your projects to various Large Language Models (LLMs) and other AI tools, streamlining code analysis and interaction. It supports a wide range of AI platforms, enhancing developer workflows. ## Topics - AI - LLM - Code Analysis - Developer Tools - TypeScript - ChatGPT - Generative AI - GitHub ## Repository Information Last analyzed by OSRepos: Sat Oct 11 2025 22:15:54 GMT+0100 (Western European Summer Time) Detail views: 1 GitHub clicks: 2 ## Safety Notice OSRepos shares public repositories for knowledge and discovery only. Review source code, dependencies, licenses, and security implications before running or installing anything. ## Content ## Introduction Repomix is a powerful and innovative tool designed to streamline how developers interact with Large Language Models (LLMs) and other AI tools. It efficiently packs your entire codebase into a single, AI-friendly file, making it easy to feed complex projects to platforms like Claude, ChatGPT, DeepSeek, and Gemini. Repomix has even been nominated for the "Powered by AI" category at the [JSNation Open Source Awards 2025](https://osawards.com/javascript/), highlighting its significant impact on AI-driven development workflows. ## Installation Getting started with Repomix is straightforward, whether you prefer a quick, temporary run or a global installation for frequent use. To try Repomix instantly in your project directory without installation: bash npx repomix@latest For repeated use, you can install it globally: bash # Install using npm npm install -g repomix # Alternatively using yarn yarn global add repomix # Alternatively using bun bun add -g repomix # Alternatively using Homebrew (macOS/Linux) brew install repomix After installation, simply run `repomix` in any project directory to generate your AI-friendly output file. ## Examples Repomix offers flexible usage options, from local directories to remote repositories, and various output formats. ### Basic Usage: To pack your current repository into an `repomix-output.xml` file: bash repomix ### Packing a Remote Repository: Analyze a GitHub repository directly without cloning: bash repomix --remote yamadashy/repomix # Or with a full URL and specific branch repomix --remote https://github.com/yamadashy/repomix --remote-branch main ### Code Compression: Reduce token count while preserving code structure using the `--compress` option, ideal for large codebases: bash repomix --compress ### Different Output Styles: Repomix supports XML (default), Markdown, JSON, and Plain Text formats. For example, to output in Markdown: bash repomix --style markdown ### Using the Website or Extensions: For quick online use, visit [repomix.com](https://repomix.com). Browser extensions for Chrome and Firefox, and a VSCode extension, also provide convenient ways to use Repomix directly from your development environment. ## Why Use Repomix Repomix addresses the critical challenge of providing comprehensive codebase context to AI models. Its key features ensure efficient and secure AI interaction: * **AI-Optimized Output:** Formats your code for optimal AI comprehension, enhancing analysis and generation tasks. * **Token Counting:** Provides essential token counts for files and the entire repository, helping manage LLM context limits. * **Simple & Customizable:** Pack your repository with a single command, or configure inclusions, exclusions, and output styles to fit your needs. * **Git-Aware & Secure:** Automatically respects `.gitignore` rules and includes [Secretlint](https://github.com/secretlint/secretlint) for robust security checks, preventing sensitive data leakage. * **Code Compression:** Utilizes [Tree-sitter](https://github.com/tree-sitter/tree-sitter) to extract key code elements, significantly reducing token count while maintaining structural integrity. * **Versatile Access:** Available as a CLI tool, a web application, browser extensions, a VSCode extension, and even integrates as an [MCP server](https://modelcontextprotocol.io) for advanced AI assistant workflows. ## Links * **GitHub Repository:** [https://github.com/yamadashy/repomix](https://github.com/yamadashy/repomix) * **Official Website:** [https://repomix.com](https://repomix.com) * **Discord Community:** [https://discord.gg/wNYzTwZFku](https://discord.gg/wNYzTwZFku) * **Chrome Extension:** [Repomix - Chrome Web Store](https://chromewebstore.google.com/detail/repomix/fimfamikepjgchehkohedilpdigcpkoa) * **Firefox Add-on:** [Repomix - Firefox Add-ons](https://addons.mozilla.org/firefox/addon/repomix/) * **VSCode Extension (Repomix Runner):** [Repomix Runner - VSCode Marketplace](https://marketplace.visualstudio.com/items?itemName=DorianMassoulier.repomix-runner) * **JSNation Open Source Awards:** [JSNation Open Source Awards 2025](https://osawards.com/javascript/)