Repomix

What is Repomix

Repomix is a powerful tool designed to package codebases into AI-friendly formats. It enables developers to efficiently prepare their repositories for analysis by Large Language Models (LLMs) and other AI tools, thereby harnessing their capabilities for code review, refactoring, documentation generation, and more.

Use cases

Repomix is particularly useful for scenarios where developers want to analyze code, generate documentation, create tests, and receive suggestions for improvements from AI tools. It supports a variety of output formats, making it adaptable for different AI applications and workflows.

How to use

To get started with Repomix, simply run npx repomix in your project directory to generate a packed AI-friendly output file. Alternatively, you can install it globally with npm or access it via its website at repomix.com. Options are available for advanced configurations, including selecting specific files or adjusting output formats.

Key features

Repomix offers several key features, including AI-optimized output formatting, token counting for context limits, support for customizable file inclusion/exclusion patterns, security checks to prevent the inclusion of sensitive information, and intelligent code compression using Tree-sitter.

Where to use

Repomix can be used in various environments, including local development with CLI commands, browser-based tools via its website, and CI/CD pipelines with GitHub Actions. It further supports integration with popular editors like VSCode and browser extensions for easy access during development.

^{Special thanks to:}

Warp, the agent terminal for developers

Available for MacOS, Linux, & Windows

Pack your codebase into AI-friendly formats

Use Repomix online! 👉 repomix.com

Need discussion? Join us on Discord!
Share your experience and tips
Stay updated on new features
Get help with configuration and usage

📦 Repomix is a powerful tool that packs your entire repository into a single, AI-friendly file.
It is perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools like Claude,
ChatGPT, DeepSeek, Perplexity, Gemini, Gemma, Llama, Grok, and more.

🏆 Open Source Awards Nomination

We’re honored! Repomix has been nominated for the Powered by AI category at the JSNation Open Source Awards 2025.

This wouldn’t have been possible without all of you using and supporting Repomix. Thank you!

If Repomix has helped you analyze or pack codebases for AI tools, we’d be grateful for your vote in the Powered by AI category.

🎉 New: Repomix Website & Discord Community!

• Try Repomix in your browser at repomix.com
• Join our Discord Server for support and discussion

We look forward to seeing you there!

🌟 Features

• AI-Optimized: Formats your codebase in a way that’s easy for AI to understand and process.
• Token Counting: Provides token counts for each file and the entire repository, useful for LLM context limits.
• Simple to Use: You need just one command to pack your entire repository.
• Customizable: Easily configure what to include or exclude.
• Git-Aware: Automatically respects your .gitignore files and .git/info/exclude.
• Security-Focused: Incorporates Secretlint for robust security checks to detect and prevent inclusion of sensitive information.
• Code Compression: The --compress option uses Tree-sitter to extract key code elements, reducing token count while preserving structure.

🚀 Quick Start

Using the CLI Tool >_

You can try Repomix instantly in your project directory without installation:

npx repomix

Or install globally for repeated use:

# 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

# Then run in any project directory
repomix

That’s it! Repomix will generate a repomix-output.xml file in your current directory, containing your entire
repository in an AI-friendly format.

You can then send this file to an AI assistant with a prompt like:

This file contains all the files in the repository combined into one.
I want to refactor the code, so please review it first.

When you propose specific changes, the AI might be able to generate code accordingly. With features like Claude’s
Artifacts, you could potentially output multiple files, allowing for the generation of multiple interdependent pieces of
code.

Happy coding! 🚀

Using The Website 🌐

Want to try it quickly? Visit the official website at repomix.com. Simply enter your repository
name, fill in any optional details, and click the Pack button to see your generated output.

Available Options

The website offers several convenient features:

• Customizable output format (XML, Markdown, or Plain Text)
• Instant token count estimation
• Much more!

Using The Browser Extension 🧩

Get instant access to Repomix directly from any GitHub repository! Our Chrome extension adds a convenient “Repomix” button to GitHub repository pages.

Install

• Chrome Extension: Repomix - Chrome Web Store
• Firefox Add-on: Repomix - Firefox Add-ons

Features

• One-click access to Repomix for any GitHub repository
• More exciting features coming soon!

Using The VSCode Extension ⚡️

A community-maintained VSCode extension called Repomix Runner (created by massdo) lets you run Repomix right inside your editor with just a few clicks. Run it on any folder, manage outputs seamlessly, and control everything through VSCode’s intuitive interface.

Want your output as a file or just the content? Need automatic cleanup? This extension has you covered. Plus, it works smoothly with your existing repomix.config.json.

Try it now on the VSCode Marketplace!
Source code is available on GitHub.

Alternative Tools 🛠️

If you’re using Python, you might want to check out Gitingest, which is better suited for Python ecosystem and data
science workflows:
https://github.com/cyclotruc/gitingest

📊 Usage

To pack your entire repository:

repomix

To pack a specific directory:

repomix path/to/directory

To pack specific files or directories
using glob patterns:

repomix --include "src/**/*.ts,**/*.md"

To exclude specific files or directories:

repomix --ignore "**/*.log,tmp/"

To pack a remote repository:

repomix --remote https://github.com/yamadashy/repomix

# You can also use GitHub shorthand:
repomix --remote yamadashy/repomix

# You can specify the branch name, tag, or commit hash:
repomix --remote https://github.com/yamadashy/repomix --remote-branch main

# Or use a specific commit hash:
repomix --remote https://github.com/yamadashy/repomix --remote-branch 935b695

# Another convenient way is specifying the branch's URL
repomix --remote https://github.com/yamadashy/repomix/tree/main

# Commit's URL is also supported
repomix --remote https://github.com/yamadashy/repomix/commit/836abcd7335137228ad77feb28655d85712680f1

To pack files from a file list (via stdin):

# Using find command
find src -name "*.ts" -type f | repomix --stdin

# Using git to get tracked files
git ls-files "*.ts" | repomix --stdin

# Using ls with glob patterns
ls src/**/*.ts | repomix --stdin

# From a file containing file paths
cat file-list.txt | repomix --stdin

# Direct input with echo
echo -e "src/index.ts\nsrc/utils.ts" | repomix --stdin

The --stdin option allows you to pipe a list of file paths to Repomix, giving you ultimate flexibility in selecting which files to pack.

[!NOTE]
When using --stdin, file paths can be relative or absolute, and Repomix will automatically handle path resolution and deduplication.

To compress the output:

repomix --compress

# You can also use it with remote repositories:
repomix --remote yamadashy/repomix --compress

To initialize a new configuration file (repomix.config.json):

repomix --init

Once you have generated the packed file, you can use it with Generative AI tools like ChatGPT, DeepSeek, Perplexity, Gemini, Gemma, Llama, Grok, and more.

Docker Usage 🐳

You can also run Repomix using Docker.
This is useful if you want to run Repomix in an isolated environment or prefer using containers.

Basic usage (current directory):

docker run -v .:/app -it --rm ghcr.io/yamadashy/repomix

To pack a specific directory:

docker run -v .:/app -it --rm ghcr.io/yamadashy/repomix path/to/directory

Process a remote repository and output to a output directory:

docker run -v ./output:/app -it --rm ghcr.io/yamadashy/repomix --remote https://github.com/yamadashy/repomix

Prompt Examples

Once you have generated the packed file with Repomix, you can use it with AI tools like ChatGPT, DeepSeek, Perplexity, Gemini, Gemma, Llama, Grok, and more.
Here are some example prompts to get you started:

Code Review and Refactoring

For a comprehensive code review and refactoring suggestions:

This file contains my entire codebase. Please review the overall structure and suggest any improvements or refactoring opportunities, focusing on maintainability and scalability.

Documentation Generation

To generate project documentation:

Based on the codebase in this file, please generate a detailed README.md that includes an overview of the project, its main features, setup instructions, and usage examples.

Test Case Generation

For generating test cases:

Analyze the code in this file and suggest a comprehensive set of unit tests for the main functions and classes. Include edge cases and potential error scenarios.

Code Quality Assessment

Evaluate code quality and adherence to best practices:

Review the codebase for adherence to coding best practices and industry standards. Identify areas where the code could be improved in terms of readability, maintainability, and efficiency. Suggest specific changes to align the code with best practices.

Library Overview

Get a high-level understanding of the library

This file contains the entire codebase of library. Please provide a comprehensive overview of the library, including its main purpose, key features, and overall architecture.

Feel free to modify these prompts based on your specific needs and the capabilities of the AI tool you’re using.

Community Discussion

Check out our community discussion where users share:

• Which AI tools they’re using with Repomix
• Effective prompts they’ve discovered
• How Repomix has helped them
• Tips and tricks for getting the most out of AI code analysis

Feel free to join the discussion and share your own experiences! Your insights could help others make better use of
Repomix.

Output File Format

Repomix generates a single file with clear separators between different parts of your codebase.
To enhance AI comprehension, the output file begins with an AI-oriented explanation, making it easier for AI models to
understand the context and structure of the packed repository.

XML Format (default)

The XML format structures the content in a hierarchical manner:

This file is a merged representation of the entire codebase, combining all repository files into a single document.

<file_summary>
  (Metadata and usage AI instructions)
</file_summary>

<directory_structure>
src/
cli/
cliOutput.ts
index.ts

(...remaining directories)
</directory_structure>

<files>
<file path="src/index.js">
  // File contents here
</file>

(...remaining files)
</files>

<instruction>
(Custom instructions from `output.instructionFilePath`)
</instruction>

For those interested in the potential of XML tags in AI contexts:
https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/use-xml-tags

When your prompts involve multiple components like context, instructions, and examples, XML tags can be a
game-changer. They help Claude parse your prompts more accurately, leading to higher-quality outputs.

This means that the XML output from Repomix is not just a different format, but potentially a more effective way to feed
your codebase into AI systems for analysis, code review, or other tasks.

Markdown Format

To generate output in Markdown format, use the --style markdown option:

repomix --style markdown

The Markdown format structures the content in a hierarchical manner:

This file is a merged representation of the entire codebase, combining all repository files into a single document.

# File Summary

(Metadata and usage AI instructions)

# Repository Structure

```
src/
  cli/
    cliOutput.ts
    index.ts
```

(...remaining directories)

# Repository Files

## File: src/index.js

```
// File contents here
```

(...remaining files)

# Instruction

(Custom instructions from `output.instructionFilePath`)

This format provides a clean, readable structure that is both human-friendly and easily parseable by AI systems.

Plain Text Format

To generate output in plain text format, use the --style plain option:

repomix --style plain

This file is a merged representation of the entire codebase, combining all repository files into a single document.

================================================================
File Summary
================================================================
(Metadata and usage AI instructions)

================================================================
Directory Structure
================================================================
src/
  cli/
    cliOutput.ts
    index.ts
  config/
    configLoader.ts

(...remaining directories)

================================================================
Files
================================================================

================
File: src/index.js
================
// File contents here

================
File: src/utils.js
================
// File contents here

(...remaining files)

================================================================
Instruction
================================================================
(Custom instructions from `output.instructionFilePath`)

Command Line Options

Basic Options

• -v, --version: Show tool version

Output Options

• -o, --output <file>: Specify the output file name
• --stdout: Output to stdout instead of writing to a file (cannot be used with --output option)
• --style <style>: Specify the output style (xml, markdown, plain)
• --parsable-style: Enable parsable output based on the chosen style schema. Note that this can increase token count.
• --compress: Perform intelligent code extraction, focusing on essential function and class signatures to reduce token count
• --output-show-line-numbers: Show line numbers in the output
• --copy: Additionally copy generated output to system clipboard
• --no-file-summary: Disable file summary section output
• --no-directory-structure: Disable directory structure section output
• --remove-comments: Remove comments from supported file types
• --remove-empty-lines: Remove empty lines from the output
• --header-text <text>: Custom text to include in the file header
• --instruction-file-path <path>: Path to a file containing detailed custom instructions
• --include-empty-directories: Include empty directories in the output
• --include-diffs: Include git diffs in the output (includes both work tree and staged changes separately)
• --no-git-sort-by-changes: Disable sorting files by git change count (enabled by default)

Filter Options

• --include <patterns>: List of include patterns (comma-separated)
• -i, --ignore <patterns>: Additional ignore patterns (comma-separated)
• --stdin: Read file paths from stdin instead of discovering files automatically
• --no-gitignore: Disable .gitignore file usage
• --no-default-patterns: Disable default patterns

Remote Repository Options

• --remote <url>: Process a remote Git repository
• --remote-branch <name>: Specify the remote branch name, tag, or commit hash (defaults to repository default branch)

Configuration Options

• -c, --config <path>: Path to a custom config file
• --init: Create config file
• --global: Use global config

Security Options

• --no-security-check: Disable security check

Token Count Options

• --token-count-encoding <encoding>: Specify token count encoding used by OpenAI’s tiktoken tokenizer (e.g., o200k_base for GPT-4o, cl100k_base for GPT-4/3.5). See tiktoken model.py for encoding details.

MCP

• --mcp: Run as a MCP (Model Context Protocol) server

Other Options

• --top-files-len <number>: Number of top files to display in the summary
• --verbose: Enable verbose logging
• --quiet: Disable all output to stdout

Examples:

# Basic usage
repomix

# Custom output
repomix -o output.xml --style xml

# Output to stdout
repomix --stdout > custom-output.txt

# Send output to stdout, then pipe into another command (for example, simonw/llm)
repomix --stdout | llm "Please explain what this code does."

# Custom output with compression
repomix --compress

# Process specific files
repomix --include "src/**/*.ts" --ignore "**/*.test.ts"

# Remote repository with branch
repomix --remote https://github.com/user/repo/tree/main

# Remote repository with commit
repomix --remote https://github.com/user/repo/commit/836abcd7335137228ad77feb28655d85712680f1

# Remote repository with shorthand
repomix --remote user/repo

Updating Repomix

To update a globally installed Repomix:

# Using npm
npm update -g repomix

# Using yarn
yarn global upgrade repomix

# Using bun
bun update -g repomix

Using npx repomix is generally more convenient as it always uses the latest version.

Remote Repository Processing

Repomix supports processing remote Git repositories without the need for manual cloning. This feature allows you to
quickly analyze any public Git repository with a single command.

To process a remote repository, use the --remote option followed by the repository URL:

repomix --remote https://github.com/yamadashy/repomix

You can also use GitHub’s shorthand format:

repomix --remote yamadashy/repomix

You can specify the branch name, tag, or commit hash:

# Using --remote-branch option
repomix --remote https://github.com/yamadashy/repomix --remote-branch main

# Using branch's URL
repomix --remote https://github.com/yamadashy/repomix/tree/main

Or use a specific commit hash:

# Using --remote-branch option
repomix --remote https://github.com/yamadashy/repomix --remote-branch 935b695

# Using commit's URL
repomix --remote https://github.com/yamadashy/repomix/commit/836abcd7335137228ad77feb28655d85712680f1

Code Compression

The --compress option utilizes Tree-sitter to perform intelligent code extraction, focusing on essential function and class signatures while removing implementation details. This can help reduce token count while retaining important structural information.

repomix --compress

For example, this code:

import { ShoppingItem } from './shopping-item';

/**
 * Calculate the total price of shopping items
 */
const calculateTotal = (
  items: ShoppingItem[]
) => {
  let total = 0;
  for (const item of items) {
    total += item.price * item.quantity;
  }
  return total;
}

// Shopping item interface
interface Item {
  name: string;
  price: number;
  quantity: number;
}

Will be compressed to:

import { ShoppingItem } from './shopping-item';
⋮----
/**
 * Calculate the total price of shopping items
 */
const calculateTotal = (
  items: ShoppingItem[]
) => {
⋮----
// Shopping item interface
interface Item {
  name: string;
  price: number;
  quantity: number;
}

[!NOTE]
This is an experimental feature that we’ll be actively improving based on user feedback and real-world usage

MCP Server Integration

Repomix supports the Model Context Protocol (MCP), allowing AI assistants to directly interact with your codebase. When run as an MCP server, Repomix provides tools that enable AI assistants to package local or remote repositories for analysis without requiring manual file preparation.

repomix --mcp

Configuring MCP Servers

To use Repomix as an MCP server with AI assistants like Claude, you need to configure the MCP settings:

For VS Code:

You can install the Repomix MCP server in VS Code using one of these methods:

1. Using the Install Badge:

2. Using the Command Line:

code --add-mcp '{"name":"repomix","command":"npx","args":["-y","repomix","--mcp"]}'

For VS Code Insiders:

code-insiders --add-mcp '{"name":"repomix","command":"npx","args":["-y","repomix","--mcp"]}'

For Cline (VS Code extension):

Edit the cline_mcp_settings.json file:

{
  "mcpServers": {
    "repomix": {
      "command": "npx",
      "args": [
        "-y",
        "repomix",
        "--mcp"
      ]
    }
  }
}

For Cursor:

In Cursor, add a new MCP server from Cursor Settings > MCP > + Add new global MCP server with a configuration similar to Cline.

For Claude Desktop:

Edit the claude_desktop_config.json file with similar configuration to Cline’s config.

For Claude Code:

To configure Repomix as an MCP server in Claude Code, use the following command:

claude mcp add repomix -- npx -y repomix --mcp

Using Docker instead of npx:

You can use Docker as an alternative to npx for running Repomix as an MCP server:

{
  "mcpServers": {
    "repomix-docker": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/yamadashy/repomix",
        "--mcp"
      ]
    }
  }
}

Once configured, your AI assistant can directly use Repomix’s capabilities to analyze codebases without manual file preparation, making code analysis workflows more efficient.

Available MCP Tools

When running as an MCP server, Repomix provides the following tools:

1. pack_codebase: Package a local code directory into a consolidated XML file for AI analysis

• Parameters:
  • directory: Absolute path to the directory to pack
  • compress: (Optional, default: false) Enable Tree-sitter compression to extract essential code signatures and structure while removing implementation details. Reduces token usage by ~70% while preserving semantic meaning. Generally not needed since grep_repomix_output allows incremental content retrieval. Use only when you specifically need the entire codebase content for large repositories.
  • includePatterns: (Optional) Specify files to include using fast-glob patterns. Multiple patterns can be comma-separated (e.g., “/*.{js,ts}", "src/,docs/**”). Only matching files will be processed.
  • ignorePatterns: (Optional) Specify additional files to exclude using fast-glob patterns. Multiple patterns can be comma-separated (e.g., “test/,*.spec.js", "node_modules/,dist/**”). These patterns supplement .gitignore and built-in exclusions.
  • topFilesLength: (Optional, default: 10) Number of largest files by size to display in the metrics summary for codebase analysis.

2. pack_remote_repository: Fetch, clone, and package a GitHub repository into a consolidated XML file for AI analysis

• Parameters:
  • remote: GitHub repository URL or user/repo format (e.g., “yamadashy/repomix”, “https://github.com/user/repo”, or “https://github.com/user/repo/tree/branch”)
  • compress: (Optional, default: false) Enable Tree-sitter compression to extract essential code signatures and structure while removing implementation details. Reduces token usage by ~70% while preserving semantic meaning. Generally not needed since grep_repomix_output allows incremental content retrieval. Use only when you specifically need the entire codebase content for large repositories.
  • includePatterns: (Optional) Specify files to include using fast-glob patterns. Multiple patterns can be comma-separated (e.g., “/*.{js,ts}", "src/,docs/**”). Only matching files will be processed.
  • ignorePatterns: (Optional) Specify additional files to exclude using fast-glob patterns. Multiple patterns can be comma-separated (e.g., “test/,*.spec.js", "node_modules/,dist/**”). These patterns supplement .gitignore and built-in exclusions.
  • topFilesLength: (Optional, default: 10) Number of largest files by size to display in the metrics summary for codebase analysis.

3. read_repomix_output: Read the contents of a Repomix-generated output file. Supports partial reading with line range specification for large files.

• Parameters:
  • outputId: ID of the Repomix output file to read
  • startLine: (Optional) Starting line number (1-based, inclusive). If not specified, reads from beginning.
  • endLine: (Optional) Ending line number (1-based, inclusive). If not specified, reads to end.
• Features:
  • Specifically designed for web-based environments or sandboxed applications
  • Retrieves the content of previously generated outputs using their ID
  • Provides secure access to packed codebase without requiring file system access
  • Supports partial reading for large files

4. grep_repomix_output: Search for patterns in a Repomix output file using grep-like functionality with JavaScript RegExp syntax

• Parameters:
  • outputId: ID of the Repomix output file to search
  • pattern: Search pattern (JavaScript RegExp regular expression syntax)
  • contextLines: (Optional, default: 0) Number of context lines to show before and after each match. Overridden by beforeLines/afterLines if specified.
  • beforeLines: (Optional) Number of context lines to show before each match (like grep -B). Takes precedence over contextLines.
  • afterLines: (Optional) Number of context lines to show after each match (like grep -A). Takes precedence over contextLines.
  • ignoreCase: (Optional, default: false) Perform case-insensitive matching
• Features:
  • Uses JavaScript RegExp syntax for powerful pattern matching
  • Supports context lines for better understanding of matches
  • Allows separate control of before/after context lines
  • Case-sensitive and case-insensitive search options

5. file_system_read_file: Read a file from the local file system using an absolute path. Includes built-in security validation to detect and prevent access to files containing sensitive information.

• Parameters:
  • path: Absolute path to the file to read
• Security features:
  • Implements security validation using Secretlint
  • Prevents access to files containing sensitive information (API keys, passwords, secrets)
  • Validates absolute paths to prevent directory traversal attacks

6. file_system_read_directory: List the contents of a directory using an absolute path. Returns a formatted list showing files and subdirectories with clear indicators.

• Parameters:
  • path: Absolute path to the directory to list
• Features:
  • Shows files and directories with clear indicators ([FILE] or [DIR])
  • Provides safe directory traversal with proper error handling
  • Validates paths and ensures they are absolute
  • Useful for exploring project structure and understanding codebase organization

⚙️ Configuration

Create a repomix.config.json file in your project root for custom configurations.

repomix --init

Here’s an explanation of the configuration options:

The configuration file supports JSON5 syntax, which allows:

• Comments (both single-line and multi-line)
• Trailing commas in objects and arrays
• Unquoted property names
• More relaxed string syntax

Example configuration:

{
  "input": {
    "maxFileSize": 50000000
  },
  "output": {
    "filePath": "repomix-output.xml",
    "style": "xml",
    "parsableStyle": false,
    "compress": false,
    "headerText": "Custom header information for the packed file.",
    "fileSummary": true,
    "directoryStructure": true,
    "files": true,
    "removeComments": false,
    "removeEmptyLines": false,
    "topFilesLength": 5,
    "showLineNumbers": false,
    "copyToClipboard": false,
    "includeEmptyDirectories": false,
    "git": {
      "sortByChanges": true,
      "sortByChangesMaxCommits": 100,
      "includeDiffs": false
    }
  },
  "include": ["**/*"],
  "ignore": {
    "useGitignore": true,
    "useDefaultPatterns": true,
    // Patterns can also be specified in .repomixignore
    "customPatterns": [
      "additional-folder",
      "**/*.log"
    ],
  },
  "security": {
    "enableSecurityCheck": true
  },
  "tokenCount": {
    "encoding": "o200k_base"
  }
}

Global Configuration

To create a global configuration file:

repomix --init --global

The global configuration file will be created in:

• Windows: %LOCALAPPDATA%\Repomix\repomix.config.json
• macOS/Linux: $XDG_CONFIG_HOME/repomix/repomix.config.json or ~/.config/repomix/repomix.config.json

Note: Local configuration (if present) takes precedence over global configuration.

Include and Ignore

Include Patterns

Repomix now supports specifying files to include
using glob patterns. This allows for more
flexible and powerful file selection:

• Use **/*.js to include all JavaScript files in any directory
• Use src/**/* to include all files within the src directory and its subdirectories
• Combine multiple patterns like ["src/**/*.js", "**/*.md"] to include JavaScript files in src and all Markdown
  files

Ignore Patterns

Repomix offers multiple methods to set ignore patterns for excluding specific files or directories during the packing
process:

• .gitignore: By default, patterns listed in your project’s .gitignore files and .git/info/exclude are used. This behavior can be controlled with the ignore.useGitignore setting or the --no-gitignore cli option.
• Default patterns: Repomix includes a default list of commonly excluded files and directories (e.g., node_modules,
  .git, binary files). This feature can be controlled with the ignore.useDefaultPatterns setting or the --no-default-patterns cli option. Please
  see defaultIgnore.ts for more details.
• .repomixignore: You can create a .repomixignore file in your project root to define Repomix-specific ignore
  patterns. This file follows the same format as .gitignore.
• Custom patterns: Additional ignore patterns can be specified using the ignore.customPatterns option in the
  configuration file. You can overwrite this setting with the -i, --ignore command line option.

Priority Order (from highest to lowest):

1. Custom patterns ignore.customPatterns
2. .repomixignore
3. .gitignore and .git/info/exclude (if ignore.useGitignore is true and --no-gitignore is not used)
4. Default patterns (if ignore.useDefaultPatterns is true and --no-default-patterns is not used)

This approach allows for flexible file exclusion configuration based on your project’s needs. It helps optimize the size
of the generated pack file by ensuring the exclusion of security-sensitive files and large binary files, while
preventing the leakage of confidential information.

Note: Binary files are not included in the packed output by default, but their paths are listed in the “Repository
Structure” section of the output file. This provides a complete overview of the repository structure while keeping the
packed file efficient and text-based.

Custom Instruction

The output.instructionFilePath option allows you to specify a separate file containing detailed instructions or
context about your project. This allows AI systems to understand the specific context and requirements of your project,
potentially leading to more relevant and tailored analysis or suggestions.

Here’s an example of how you might use this feature:

1. Create a file named repomix-instruction.md in your project root:

# Coding Guidelines

- Follow the Airbnb JavaScript Style Guide
- Suggest splitting files into smaller, focused units when appropriate
- Add comments for non-obvious logic. Keep all text in English
- All new features should have corresponding unit tests

# Generate Comprehensive Output

- Include all content without abbreviation, unless specified otherwise
- Optimize for handling large codebases while maintaining output quality

2. In your repomix.config.json, add the instructionFilePath option:

{
  "output": {
    "instructionFilePath": "repomix-instruction.md",
    // other options...
  }
}

When Repomix generates the output, it will include the contents of repomix-instruction.md in a dedicated section.

Note: The instruction content is appended at the end of the output file. This placement can be particularly effective
for AI systems. For those interested in understanding why this might be beneficial, Anthropic provides some insights in
their documentation:
https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/long-context-tips

Put long-form data at the top: Place your long documents and inputs (~20K+ tokens) near the top of your prompt, above
your query, instructions, and examples. This can significantly improve Claude’s performance across all models.
Queries at the end can improve response quality by up to 30% in tests, especially with complex, multi-document inputs.

Comment Removal

When output.removeComments is set to true, Repomix will attempt to remove comments from supported file types. This
feature can help reduce the size of the output file and focus on the essential code content.

Supported languages include:
HTML, CSS, JavaScript, TypeScript, Vue, Svelte, Python, PHP, Ruby, C, C#, Java, Go, Rust, Swift, Kotlin, Dart, Shell,
and YAML.

Note: The comment removal process is conservative to avoid accidentally removing code. In complex cases, some comments
might be retained.

🔍 Security Check

Repomix includes a security check feature that uses Secretlint to detect
potentially sensitive information in your files. This feature helps you identify possible security risks before sharing
your packed repository.

The security check results will be displayed in the CLI output after the packing process is complete. If any suspicious
files are detected, you’ll see a list of these files along with a warning message.

Example output:

🔍 Security Check:
──────────────────
2 suspicious file(s) detected:
1. src/utils/test.txt
2. tests/utils/secretLintUtils.test.ts

Please review these files for potentially sensitive information.

By default, Repomix’s security check feature is enabled. You can disable it by setting security.enableSecurityCheck to
false in your configuration file:

{
  "security": {
    "enableSecurityCheck": false
  }
}

Or using the --no-security-check command line option:

repomix --no-security-check

[!NOTE]
Disabling security checks may expose sensitive information. Use this option with caution and only when necessary, such
as when working with test files or documentation that contains example credentials.

🤖 Using Repomix with GitHub Actions

You can also use Repomix in your GitHub Actions workflows. This is useful for automating the process of packing your codebase for AI analysis.

Basic usage:

- name: Pack repository with Repomix
  uses: yamadashy/repomix/.github/actions/repomix@main
  with:
    output: repomix-output.xml
    style: xml

Use --style to generate output in different formats:

- name: Pack repository with Repomix
  uses: yamadashy/repomix/.github/actions/repomix@main
  with:
    output: repomix-output.md
    style: markdown

Pack specific directories with compression:

- name: Pack repository with Repomix
  uses: yamadashy/repomix/.github/actions/repomix@main
  with:
    directories: src tests
    include: "**/*.ts,**/*.md"
    ignore: "**/*.test.ts"
    output: repomix-output.txt
    compress: true

Upload the output file as an artifact:

- name: Pack repository with Repomix
  uses: yamadashy/repomix/.github/actions/repomix@main
  with:
    directories: src
    output: repomix-output.txt
    compress: true

- name: Upload Repomix output
  uses: actions/upload-artifact@v4
  with:
    name: repomix-output
    path: repomix-output.txt

Complete workflow example:

name: Pack repository with Repomix

on:
  workflow_dispatch:
  push:
    branches: [ main ]
  pull_request:
    branches: [ main ]

jobs:
  pack-repo:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout code
        uses: actions/checkout@v4

      - name: Pack repository with Repomix
        uses: yamadashy/repomix/.github/actions/repomix@main
        with:
          output: repomix-output.xml

      - name: Upload Repomix output
        uses: actions/upload-artifact@v4
        with:
          name: repomix-output.xml
          path: repomix-output.xml
          retention-days: 30

See the complete workflow example here.

Action Inputs

Action Outputs

📚 Using Repomix as a Library

In addition to using Repomix as a CLI tool, you can also use it as a library in your Node.js applications.

Installation

npm install repomix

Basic Usage

import { runCli, type CliOptions } from 'repomix';

// Process current directory with custom options
async function packProject() {
  const options = {
    output: 'output.xml',
    style: 'xml',
    compress: true,
    quiet: true
  } as CliOptions;
  
  const result = await runCli(['.'], process.cwd(), options);
  return result.packResult;
}

Process Remote Repository

import { runCli, type CliOptions } from 'repomix';

// Clone and process a GitHub repo
async function processRemoteRepo(repoUrl) {
  const options = {
    remote: repoUrl,
    output: 'output.xml',
    compress: true
  } as CliOptions;
  
  return await runCli(['.'], process.cwd(), options);
}

Using Core Components

If you need more control, you can use the low-level APIs:

import { searchFiles, collectFiles, processFiles, TokenCounter } from 'repomix';

async function analyzeFiles(directory) {
  // Find and collect files
  const { filePaths } = await searchFiles(directory, { /* config */ });
  const rawFiles = await collectFiles(filePaths, directory);
  const processedFiles = await processFiles(rawFiles, { /* config */ });
  
  // Count tokens
  const tokenCounter = new TokenCounter('o200k_base');
  
  // Return analysis results
  return processedFiles.map(file => ({
    path: file.path,
    tokens: tokenCounter.countTokens(file.content)
  }));
}

For more examples, check the source code at website/server/src/remoteRepo.ts which demonstrates how repomix.com uses the library.

🤝 Contribution

We welcome contributions from the community! To get started, please refer to our Contributing Guide.

Contributors

🔒 Privacy Policy

Repomix CLI Tool

• Data Collection: The Repomix CLI tool does not collect, transmit, or store any user data, telemetry, or repository information.
• Network Usage: Repomix CLI operates fully offline after installation. The only cases where an internet connection is needed are:
  • Installation via npm/yarn.
  • Using the --remote flag to process remote repositories.
  • Checking for updates (manually triggered).
• Security Considerations: Since all processing is local, Repomix CLI is safe to use with private and internal repositories.

Repomix Website (repomix.com)

• Data Collection: The Repomix website uses Google Analytics to collect usage data, such as page views and user interactions. This helps us understand how the website is used and improve the user experience.
• File Processing: When uploading ZIP files or folders, your files are temporarily stored on our servers for processing. All uploaded files and processed data are automatically deleted immediately after processing is complete.

Repomix Browser Extension

• Data Collection: The Repomix browser extension does not collect, transmit, or store any user data, telemetry, or repository information.
• Permissions: The extension only requires minimal permissions necessary to add the Repomix button to GitHub repository pages. It does not access or modify repository data.

Liability Disclaimer

Repomix (the CLI tool, website, and browser extension) is provided “as is” without any warranties or guarantees.
We do not take responsibility for how the generated output is used, including but not limited to its accuracy, legality, or any potential consequences arising from its use.

📜 License

This project is licensed under the MIT License.

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