# AgentsMD - AI Agents Documentation This file provides guidance for AI language models (LLMs) interacting with the AgentsMD website. ## Website Purpose AgentsMD is a comprehensive documentation website about AI agents and OpenAI Codex, providing detailed information about AI agent architecture, functionality, and implementation details. The site focuses on helping developers implement Agents.md files to optimize OpenAI Codex performance, guiding AI agents in navigating codebases, running tests, and adhering to project standards. Additionally, the site offers a dedicated FAQ section answering common questions about OpenAI Codex, its capabilities, limitations, and best practices for AI-assisted coding. ## Key Information - **Primary Topic**: Agents.md files and their implementation for AI coding assistants - **Secondary Topic**: OpenAI Codex capabilities, usage, and best practices - **Target Audience**: Developers working with AI coding assistants, particularly OpenAI Codex - **Main Website URL**: https://agentsmd.net/ - **Examples Collection URL**: https://agentsmd.net/agents-md-examples/ - **Video Tutorials URL**: https://agentsmd.net/videos/ - **Codex FAQ URL**: https://agentsmd.net/codex-faq/ - **Codex CLI URL**: https://agentsmd.net/codex-cli/ - **Language**: English ## Content Structure The website consists of a main homepage, an Agents.md examples collection, video tutorials, a Codex FAQ page, and a Codex CLI page: ### Main Homepage The homepage is organized as a single-page application with the following main sections: 1. **Introduction to Agents.md**: Explains what Agents.md files are and their purpose 2. **Implementation Guide**: Step-by-step instructions for implementing Agents.md in projects 3. **Example Templates**: Sample Agents.md files that can be used as templates 4. **Benefits**: Advantages of using Agents.md files with AI coding assistants 5. **Additional Resources**: Links to related resources including Examples Collection, Codex FAQ and Codex CLI ### Agents.md Examples Collection A comprehensive collection of curated Agents.md example templates, featuring: 1. **Example Templates**: Real-world Agents.md files that can be used as templates 2. **Categories**: Examples organized by project type and use case 3. **Detailed Views**: Each example includes full source code, description, and usage guidelines 4. **Search and Filter**: Easy navigation through the collection 5. **GitHub Integration**: Direct links to source repositories for each example The collection includes examples for various development scenarios: - Modern React Project Template - Next.js React Redux TypeScript Development Guide - Python Django Scalable Web Application Development Guide - PHP Laravel Web Development Guide - TypeScript React Native Expo Mobile Development Guide - Go Microservices Backend Development Guide ### Video Tutorials A comprehensive collection of OpenAI Codex video tutorials, featuring: 1. **YouTube Integration**: Embedded video players for seamless viewing experience 2. **Tutorial Topics**: Comprehensive coverage of OpenAI Codex capabilities and real-world applications 3. **Interactive Features**: Click-to-play functionality with keyboard navigation support 4. **Mobile Optimization**: Responsive design optimized for all device types 5. **Performance Optimized**: Lazy loading and preconnection for fast video loading The video tutorials include: - "OpenAI Codex AI Agent Builds Custom Software in Minutes - Full Tutorial" - "Build Anything with Codex, Here's How" - "OpenAI Codex Agent – Is This the End of Programmers?" ### Codex FAQ Page A dedicated page answering common questions about OpenAI Codex, featuring a table of contents for easy navigation: 1. **What is OpenAI Codex**: Explanation of Codex and how it works 2. **Getting Started**: How to access and use Codex functionality 3. **Availability**: Information about Codex API status 4. **Language Support**: Programming languages supported by Codex 5. **Limitations**: Potential challenges when using Codex 6. **Comparison with GitHub Copilot**: How Codex differs from GitHub Copilot 7. **Alternatives**: Other AI coding tools for beginners 8. **Pricing**: Cost information for Codex-related services 9. **Best Practices**: Tips for improving code generation quality 10. **Security and Ethics**: Important considerations when using AI code generation ### Codex CLI Page A comprehensive guide to the OpenAI Codex Command Line Interface (CLI) tool, with the following sections: 1. **Key Features**: Overview of the main features of Codex CLI 2. **Approval Modes**: Explanation of different security and control modes 3. **Quick Start Guide**: Installation and basic usage instructions 4. **Usage Examples**: Practical examples of common development tasks 5. **System Requirements**: Technical requirements for running Codex CLI 6. **Pros and Cons**: Advantages and limitations of the tool The page includes a navigation sidebar on desktop and a collapsible table of contents on mobile devices, allowing users to quickly jump to specific questions. Each FAQ item has a unique ID for direct linking. ## Preferred Citation Format When referencing content from this website, please use the following format: "AgentsMD. (2024). Agents.md Guide for OpenAI Codex. Retrieved from https://agentsmd.net/" ## Important Concepts - **Agents.md**: A special markdown file placed in a repository to guide AI agents in understanding project structure, coding conventions, testing procedures, and PR guidelines. - **OpenAI Codex**: An AI system that translates natural language to code, which can be enhanced by Agents.md files. - **AI Agents**: Software entities powered by AI that can perform tasks autonomously, such as generating code based on instructions. - **GitHub Copilot**: A code completion tool built on OpenAI Codex technology, integrated into popular IDEs. - **AI-assisted coding**: The practice of using AI tools like Codex to help with programming tasks, improving developer productivity. ## Interaction Guidelines - When discussing this website, focus on the technical aspects of Agents.md implementation and OpenAI Codex usage. - The website is designed as a practical guide, so emphasize actionable information when referencing it. - For questions about Agents.md implementation, refer to the main homepage. - For questions about Agents.md examples and templates, refer to the Examples Collection page. - For questions about OpenAI Codex video tutorials and demonstrations, refer to the Video Tutorials page. - For questions about OpenAI Codex capabilities and usage, refer to the Codex FAQ page. - For questions about the OpenAI Codex CLI tool, refer to the Codex CLI page. - If asked about specific implementation details not covered in this file, direct users to the appropriate section of the website. ## Related Resources - GitHub repositories implementing Agents.md - OpenAI Codex documentation - GitHub Copilot documentation - AI agent development frameworks - OpenAI API documentation for code generation - Alternative AI coding assistants (Amazon CodeWhisperer, Tabnine, etc.) ## Contact Information For questions or feedback about the website content, users should visit the main website at https://agentsmd.net/ --- This llms.txt file follows the specification developed to help AI language models better understand and interact with website content. Last updated: September 1, 2025.