Highlights
- Flexible Agent Framework: build, orchestrate, and deploy AI agents and multi-agent systems
- Multi-Agent Orchestration: Group chat, sequential, concurrent, and handoff patterns
- Plugin Ecosystem: Extend with native functions, OpenAPI, Model Context Protocol (MCP), and more
- LLM Support: OpenAI, Azure OpenAI, Azure AI Foundry, and more
- Runtime Support: In-process and distributed agent execution
- Multimodal: Text, vision, and function calling
- Cross-Platform: .NET and Python implementations
Below are the basics for each language implementation. For more details on python see here and for .NET see here.
- Getting Started with Agents: Basic agent creation and tool usage
- Chat Client Examples: Direct chat client usage patterns
- Azure Integration: Azure OpenAI and AI Foundry integration
- Getting Started with Agents: Basic agent creation and tool usage
- Agent Provider Samples: Samples showing different agent providers
- Orchestration Samples: Advanced multi-agent patterns
- Agent Framework Repository
- Design Documents
- Architectural Decision Records
- Learn docs are coming soon.