README-AI

README-AI is an open-source tool that automatically analyzes codebases and generates comprehensive, well-structured README files complete with project descriptions, technology badges, directory structure overviews, installation instructions, usage examples, and contribution guidelines. It inspects repository contents including source files, configuration files, package manifests, and directory layout to infer the project's purpose, technology stack, and setup requirements. The generated README follows community best practices and conventions specific to the detected language and framework ecosystem.

The tool supports Python, JavaScript, TypeScript, Java, Go, Rust, C++, and many other languages, with output customizable through templates and configuration flags. It can be run locally via CLI or integrated into CI pipelines to regenerate documentation when significant project changes occur. Since it is fully open-source and runs locally, no source code is sent to external servers unless the user explicitly configures an external LLM API endpoint -- making it suitable for proprietary codebases with strict data handling policies.

README-AI is designed for development teams managing many repositories that need consistent, up-to-date project documentation without dedicating significant time to writing and maintaining README files manually. Its differentiator is the focused scope and automation model -- rather than being a general documentation platform, it does one thing well: analyzing a codebase and producing a complete, professional README. This makes it particularly effective for bootstrapping documentation on new projects, standardizing README format across an organization's repositories, and ensuring open-source projects have the documentation quality needed to attract contributors.