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

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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

We organize projects into primary categories (🤖 AI & ML, 💻 Developer Tools, 📊 Data & Analytics, ⚡ Integration & Automation, ☁️ Infrastructure & Cloud, 🔒 Security & Identity) and secondary categories (personal, agency, e-commerce, education, media, international, other).

Developer Tools

Tool Description Link
🔍 LLMs.txt Checker Chrome extension to check if websites implement llms.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
LLMs.txt Generator Generate llms.txt from sitemap, crawled pages and AI LLMs.txt Generator

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/data/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

Detailed Submission Guidelines

🔧 Primary Categories (Tools & Platforms)

These high-priority categories are featured prominently on our homepage:

  • 🤖 AI & Machine Learning - AI models, ML tools, LLM platforms, and AI services
  • 💻 Developer Tools - SDKs, APIs, frameworks, libraries, IDEs, and development utilities
  • 📊 Data & Analytics - Databases, analytics platforms, BI tools, and data processing
  • ⚡ Integration & Automation - API platforms, workflow automation, CI/CD, and integration tools
  • ☁️ Infrastructure & Cloud - Cloud platforms, hosting, containers, and DevOps tools
  • 🔒 Security & Identity - Security tools, authentication, encryption, and compliance

📝 Secondary Categories (Other Content)

These categories are for content that doesn't fit primary tool categories:

  • 👤 Personal & Portfolio - Personal websites, developer portfolios, and blogs
  • 🏢 Agency & Services - Marketing agencies, consultancies, and service providers
  • 🛒 E-commerce - Online stores, marketplaces, and retail sites
  • 🎓 Education - Courses, tutorials, training platforms, and schools
  • 📰 Media & Content - Blogs, news sites, publications, and content platforms
  • 🌍 International - Non-English sites and international content
  • 📦 Other - Sites that don't fit into other categories

✅ What We Accept

Ideal submissions include:

  • Developer Tools & Platforms: APIs, SDKs, frameworks, libraries, IDEs
  • AI/ML Services: LLM platforms, AI tools, machine learning services
  • Infrastructure & Cloud: Hosting platforms, cloud services, DevOps tools
  • Data & Analytics: Databases, BI tools, data processing platforms
  • Security Tools: Authentication, encryption, compliance platforms
  • Integration Services: Automation tools, workflow platforms, API gateways
  • Open Source Projects: Well-maintained projects with active development
  • SaaS Platforms: Business tools and productivity platforms
  • Educational Resources: Technical tutorials, developer documentation

❌ What We Don't Accept

We do not accept submissions for:

  • Gambling Sites - Online casinos, sports betting, gambling platforms
  • Adult Content - Explicit or adult-oriented websites
  • Illegal Services - Any services that violate laws or promote illegal activities
  • Spam/Low-Quality Sites - Sites with minimal content or obvious spam
  • Non-Functional llms.txt - Sites without working llms.txt implementations
  • Duplicate Submissions - Sites already listed in our directory
  • Personal Blogs (unless exceptional) - Standard personal websites without significant technical value
  • Under Construction - Sites that are incomplete or not publicly accessible

📋 Submission Requirements

To be accepted, your submission must include:

  1. Working llms.txt file - Must be publicly accessible and properly formatted
  2. Clear description - Concise explanation of what your tool/service does
  3. Active website - Site must be functional and actively maintained
  4. Appropriate category - Must fit into one of our defined categories
  5. English content - Primary content should be in English (international content goes in "International" category)

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.

Jon Harrell
Jon Harrell

🖋
Andrii Sherman
Andrii Sherman

🖋
_Zaizen_
_Zaizen_

🖋
Alex Atallah
Alex Atallah

🖋
Elio Struyf
Elio Struyf

🖋
merloxx
merloxx

🖋
Sean Roberts
Sean Roberts

🖋
Benjamin André-Micolon
Benjamin André-Micolon

🖋
Herrington Darkholme
Herrington Darkholme

🖋
Kevin Deng 三咲智子
Kevin Deng 三咲智子

🖋
bdjdjdjo
bdjdjdjo

🖋
Drew Dennison
Drew Dennison

🖋

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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