What file formats does Repomix support for output?

Repomix supports multiple output formats including XML, Markdown, JSON, and plain text, all optimized for ingestion by Large Language Models.

Do I need to clone a repository locally to use Repomix?

No, Repomix can process remote repositories directly from GitHub using the --remote flag, saving time and disk space.

Can Repomix detect sensitive information like API keys?

Yes, Repomix uses Secretlint to automatically scan your code for passwords, API keys, and other credentials before packaging the output.

Does Repomix respect my project's .gitignore file?

Yes, by default Repomix is Git-aware and will respect your .gitignore rules to ensure build artifacts and dependencies aren't packaged.

How does Repomix help manage LLM context limits?

Repomix includes built-in token counting for individual files and the entire project, allowing you to use filters to stay within your LLM's context window.

Repomix Repository Packager

Name: Repomix Repository Packager
Author: CongDon1207

byCongDon1207

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개발자 도구

Packages entire codebases into single, AI-optimized files for seamless analysis by Large Language Models.

소개

Repomix is a specialized utility designed to condense complex code repositories into structured, AI-friendly files in formats such as XML, Markdown, and JSON. By automating file selection, respecting .gitignore rules, and stripping unnecessary comments, it provides LLMs like Claude with the perfect context window for tasks such as security audits, bug investigations, and architectural reviews. Its built-in token counting and security scanning ensure that users can manage context limits effectively while protecting sensitive credentials and API keys during the packaging process.

주요 기능

Packages repositories into single AI-optimized XML, Markdown, or JSON files
1 GitHub stars
Automatically counts tokens per file and directory to manage LLM context limits
Integrates security checks using Secretlint to detect sensitive data and credentials
Supports packaging remote GitHub repositories without requiring local cloning
Advanced filtering with customizable include/exclude patterns and comment removal

사용 사례

Feeding a complete codebase to Claude for comprehensive architecture reviews and refactoring
Generating documentation context by combining source code with existing markdown files
Analyzing third-party libraries or remote repositories for security vulnerabilities and logic flow

소개

주요 기능

Packages repositories into single AI-optimized XML, Markdown, or JSON files
1 GitHub stars
Automatically counts tokens per file and directory to manage LLM context limits
Integrates security checks using Secretlint to detect sensitive data and credentials
Supports packaging remote GitHub repositories without requiring local cloning
Advanced filtering with customizable include/exclude patterns and comment removal

사용 사례

Feeding a complete codebase to Claude for comprehensive architecture reviews and refactoring
Generating documentation context by combining source code with existing markdown files
Analyzing third-party libraries or remote repositories for security vulnerabilities and logic flow