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

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

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

Languages

Python 50.9%

C# 45.8%

TypeScript 2.7%

HTML 0.2%

PowerShell 0.1%

Other 0.1%