Microsoft Agent Framework

Highlights

• Flexible Agent Framework: build, orchestrate, and deploy AI agents and workflows
• Multi-Agent Orchestration: group chat, sequential, concurrent, and handoff patterns
• Graph-based Workflows: connect agents and deterministic functions using data flows with streaming, checkpointing, time-travel, and Human-in-the-loop.
• 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.

More Examples & Samples

Python

• 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 Workflows: basic workflow creation and integration with agents

.Net

• Getting Started with Agents: basic agent creation and tool usage
• Agent Provider Samples: samples showing different agent providers
• Orchestration Samples: advanced multi-agent patterns
• Getting Started with Workflows: (Coming soon) basic workflow creation and integration with agents

Agent Framework Documentation

• Agent Framework Repository
• Design Documents
• Architectural Decision Records
• Learn docs are coming soon.