AFEAF is a framework that empowers AI agents to become capable digital coworkers while maintaining enterprise-grade reliability and security.
We envision a future where AI agents work seamlessly alongside humans in enterprises, forming a collaborative ecosystem that amplifies human capabilities rather than replacing them. For a detailed exploration of our vision and implementation examples, see docs/vision.md.
- Registry: Central hub for discovering and managing AI capabilities
- Message Broker: Reliable communication backbone between components
- Applications: Event monitors and enterprise solutions
- Tools: Reusable functionality modules
- Agents: AI entities that perform complex tasks
- Datasets: Shared knowledge bases
afeaf/
├── docs/ # Architecture, patterns, interfaces
├── registry/ # Central service registry
├── broker/ # Message broker service
├── applications/ # Applications and monitors
├── datasets/ # Shared knowledge bases
├── tools/ # Reusable tool implementations
├── agents/ # AI agents
└── README.md
- Clone the repository
- Install dependencies (requirements coming soon)
- Follow setup guides in the documentation
- Vision and Concepts - Detailed overview of AFEAF's vision and implementation examples
- Architecture Guidelines - Technical guidelines and patterns (coming soon)
- API Reference - Component interfaces and protocols (coming soon)
We welcome contributions! Please see our contribution guidelines for details on how to get involved.
[License information coming soon]