llmx.txt hub

A comprehensive collection of llms.txt implementations and resources for LLM-powered tools and services.

About

The llms.txt file is a standardized way to provide information about how LLM-powered tools and services should interact with your documentation and codebase. This repository serves as a central hub for discovering and sharing llms.txt implementations across different projects and platforms.

Why llms.txt?

The llms.txt standard helps:

• 🤖 Guide AI models on how to interpret and use your documentation
• 📚 Standardize documentation access for LLM-powered tools
• 🔍 Improve accuracy of AI responses about your project
• 🛠 Enhance developer experience with AI-powered tools
• 🔒 Set clear boundaries for AI interaction with your content

Categories

Our list is organized into the following categories:

• 🤖 ai ml: AI and machine learning platforms, tools, and services
• 📊 data analytics: Data processing, analytics, and visualization tools
• 💻 developer tools: Development environments, utilities, and productivity tools
• ☁️ infrastructure cloud: Cloud platforms and infrastructure services
• ⚡ integration automation: Automation, integration, and workflow platforms
• 🔒 security identity: Security, authentication, and identity management solutions
• 🔍 other: Other innovative tools and platforms

Developer Tools

Explore these tools to help you work with llms.txt files:

Tool	Description	Link
🔍 LLMs.txt Checker	Chrome extension to check if websites implement llms.txt and llms-full.txt files	Chrome Web Store
💻 VS Code Extension	Search and explore llms.txt files directly in VS Code	VS Code Marketplace
🧠 MCP Explorer	Explore and analyze llms.txt files using Model Context Protocol	GitHub
⚡ Raycast Extension	Search and explore llms.txt files directly in Raycast	Raycast Store

LLM Tools and Resources

A curated list of LLM-powered tools and resources with llms.txt implementation.

💻 developer tools

• Docker Docs - Official Docker library of resources, manuals, and guides to help you containerize applications. _llms.txt
• Medusa - A digital commerce platform with a built-in framework for customizations. _{llms.txt • llms-full.txt}

Getting Started

Prerequisites

• Node.js 22 or later
• pnpm package manager
• Supabase CLI (for local development)

Development

1. Install dependencies:

# Install pnpm if you haven't already
npm install -g pnpm

# Install project dependencies
pnpm install

2. Set up your environment variables:

cp .env.example .env.local

3. Start the development server:

# Start the development server
pnpm dev

The app should now be running at http://localhost:3000

Building for Production

# Build the project
pnpm build

# Start the production server
pnpm start

Useful Commands

# Type checking
pnpm typecheck

# Linting
pnpm lint

# Format code
pnpm format

# Run tests
pnpm test

# Clean up all dependencies and build artifacts
pnpm clean

Adding Your Project

There are three ways to add your project to the list:

Option 1: Web Interface (Recommended)

1. Visit our website
2. Log in with your GitHub account (the scope is public_repo, which is required to submit a pull request)
3. Submit your website through our user-friendly form
4. Your submission will automatically submit a pull request to this repository and you will get the direct link to your pull request.

Option 2: Using the Generator

1. Run the generator command:

pnpm generate:website

2. Follow the prompts to enter your website information:
   • Name of the website/tool
   • Brief description
   • Website URL
   • llms.txt URL
   • Full llms.txt URL (optional)
   • Category (select from available options)
3. The generator will create an MDX file in the correct location
4. Submit a pull request with your changes

Option 3: Manual Pull Request

1. Fork this repository
2. Create a new MDX file in the /content/websites directory
3. Ensure your entry includes:
   • Project name, description, website URL, llms.txt URL, and category
4. Submit a pull request

Both methods will go through our validation process to ensure:

• Working links to llms.txt files
• Accurate project descriptions
• Proper categorization
• Consistent formatting

Support

• 💬 Join our GitHub Discussions
• 📫 Report issues
• 📖 Check our Contributing Guide

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributors

You are welcome to contribute to this project!

• 🐛 Report bugs
• 💡 Suggest new patterns
• 📝 Improve documentation
• 🔧 Submit pull requests

Please read our Contributing Guide before submitting a pull request.

Jon Harrell 🖋	Andrii Sherman 🖋	_Zaizen_ 🖋	Alex Atallah 🖋	Elio Struyf 🖋	merloxx 🖋	Sean Roberts 🖋
Benjamin André-Micolon 🖋	Herrington Darkholme 🖋	Kevin Deng 三咲智子 🖋	bdjdjdjo 🖋	Drew Dennison 🖋

If you find this project useful, please consider giving it a ⭐️