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🤖 The largest directory for AI-ready documentation and tools implementing the proposed llms.txt standard

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devinschumacher/llms-txt-hub

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llmx.txt hub

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

Screenshot of the llms.txt hub website page

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.

🤖 ai ml

📊 data analytics

💻 developer tools

☁️ infrastructure cloud

⚡ integration automation

🔒 security identity

Getting Started

Prerequisites

Development

  1. Install dependencies:
# Install pnpm if you haven't already
npm install -g pnpm
# Install project dependencies
pnpm install
  1. Set up your environment variables:
cp .env.example .env.local
  1. 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
  1. 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)
  2. The generator will create an MDX file in the correct location
  3. Submit a pull request with your changes

Option 3: Manual Pull Request

  1. Fork this repository
  2. Create a new MDX file in the /packages/content/websites/data 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

License

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

Contributors

You are welcome to contribute to this project!

Please read our Contributing Guide before submitting a pull request.

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

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🤖 The largest directory for AI-ready documentation and tools implementing the proposed llms.txt standard

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