llms.txt Hub
A comprehensive directory of AI-ready documentation implementing the llms.txt standard for LLM-powered tools and services.
February 2025 - Presentcompleted
Overview
llms.txt Hub is a curated directory that catalogs websites implementing the llms.txt standard. This standard provides a structured way for websites to expose their documentation and content in a format optimized for Large Language Models (LLMs), making it easier for AI tools to understand and interact with web content.
Problem Statement
As AI-powered tools become increasingly integrated into developer workflows, there's a growing need for standardized ways to make website content accessible to LLMs. The llms.txt standard was proposed as a solution, but there was no central place to discover which websites had implemented it or to learn from existing implementations.
Goals
- Create a centralized directory of llms.txt implementations
- Help developers discover AI-ready documentation resources
- Provide a submission workflow for new entries
- Showcase best practices in llms.txt implementation
- Support the growth of the llms.txt ecosystem
Key Features
- Searchable Directory: Browse and search through websites implementing llms.txt
- Category Filtering: Filter by category (documentation, tools, frameworks, etc.)
- Submit New Sites: Community-driven submissions to grow the directory
- Implementation Examples: Learn from real-world llms.txt implementations
- Dark Mode Support: Comfortable viewing in any lighting condition
Technical Approach
Built with Next.js 14 and the App Router for optimal performance. The site uses:
- Shadcn UI: For consistent, accessible component design
- Tailwind CSS: For rapid, utility-first styling
- Static Generation: Fast page loads with ISR for fresh data
- GitHub Integration: Community contributions via pull requests
Community
The project encourages community participation through:
- GitHub Discussions for feature requests and feedback
- Issue tracker for bug reports
- Contributing guide for new submissions
- MIT License for open collaboration
Related Projects
This project complements the MCP llms.txt Explorer, a Model Context Protocol server that helps AI tools discover and analyze websites with llms.txt files.