This repository serves as a comprehensive directory for projects implementing the llms.txt standard, a proposed method for guiding AI models in interacting with documentation and codebases. It aims to standardize documentation access for LLM-powered tools, improve AI response accuracy, and enhance developer experience. The target audience includes developers, AI researchers, and organizations building or utilizing LLM-integrated applications.

How It Works

The hub curates a list of projects categorized by their domain (e.g., AI/ML, Data Analytics, Developer Tools). Each entry includes a link to the project's llms.txt file, which contains structured information for AI interaction. The repository also hosts developer tools like a Chrome extension and VS Code extension for discovering and validating llms.txt implementations.

Quick Start & Requirements

• Install: pnpm install
• Prerequisites: Node.js 22+, pnpm package manager. Supabase CLI for local development.
• Run: pnpm dev
• Links: Website, VS Code Extension, Chrome Extension

Highlighted Details

• Extensive list of over 150 projects with llms.txt implementations.
• Developer tools for seamless integration and validation of llms.txt files.
• Clear categorization of projects across various technology domains.
• Multiple contribution methods, including a web interface and a CLI generator.

Maintenance & Community

The project is actively maintained with contributions from numerous individuals. Community engagement is encouraged through GitHub Discussions and issue reporting.

Licensing & Compatibility

Licensed under the MIT License, allowing for broad commercial use and integration.

Limitations & Caveats

The llms.txt standard itself is proposed and may evolve. While the hub aims for accuracy, the validity and completeness of individual llms.txt files are dependent on the respective project maintainers.