repomix

Repomix packages entire repositories into AI-friendly single files by scanning your codebase, applying AI-optimized formatting with clear separators, and outputting to your choice of XML, Markdown, JSON, or plain text. The resulting file is ready to share with LLMs for context provisioning, code analysis, or documentation generation.

Yes. Repomix respects .gitignore during packaging to automatically exclude ignored files, and includes built-in security checks to help prevent accidental inclusion of sensitive data before you share the packaged output with AI systems.

Repomix supports multiple output formats—XML, Markdown, JSON, and plain text—so you can choose the format that best integrates with your LLM workflow, documentation tools, or analysis pipeline.

Repomix counts tokens in the packaged output so you can verify the context fits within your LLM's token budget before submission, and supports comment removal to trim unnecessary tokens and keep payloads lean.

Yes. Repomix supports remote repository processing via URL or specific commits, letting you package code you don't have locally and analyze external codebases or historical versions for LLM context and auditing.

Repomix applies to codebases of varying sizes and languages, packaging mixed-language repositories into a single AI-friendly file so you can analyze polyglot projects, security audit multilingual systems, or generate documentation across diverse tech stacks.