Welcome to ATLAS Documentation

ATLAS (Agent Training & Learning Aggregation System) is a decentralized knowledge ecosystem built on ELIZA technology and the Zerepy framework. This documentation will guide you through understanding, implementing, and utilizing ATLAS for your AI agent needs.

Features

• Decentralized knowledge distribution
• Proof-of-stake consensus mechanism
• Real-time agent learning synchronization
• Secure knowledge validation
• Advanced prompt engineering capabilities
• Distributed storage architecture

Getting Started

To get started with our documentation, please navigate through the sections using the sidebar on the left. Here's a quick overview of the available sections:

• Getting Started: Learn how to install and set up our library
• Prompt Building: Explore prompt building
• API Reference: Detailed information about our API and its methods

If you have any questions or need further assistance, don't hesitate to reach out to our support team.

Contributing

We welcome contributions to our documentation. If you find any errors or have suggestions for improvement, please open an issue or submit a pull request on our GitHub repository.