# Microsoft Agent Framework

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](./python/README.md) and for .NET see [here](./dotnet/README.md).

## More Examples & Samples

### Python
- [Getting Started with Agents](./python/samples/getting_started/agents): Basic agent creation and tool usage
- [Chat Client Examples](./python/samples/getting_started/chat_client): Direct chat client usage patterns
- [Azure Integration](./python/packages/azure): Azure OpenAI and AI Foundry integration

### .Net
- [Getting Started with Agents](./dotnet/samples/GettingStarted/Steps): Basic agent creation and tool usage
- [Agent Provider Samples](./dotnet/samples/GettingStarted/Providers): Samples showing different agent providers
- [Orchestration Samples](./dotnet/samples/GettingStarted/Orchestration): Advanced multi-agent patterns

## Agent Framework Documentation

- [Agent Framework Repository](https://github.com/microsoft/agent-framework)
- [Design Documents](./docs/design)
- [Architectural Decision Records](./docs/decisions)
- Learn docs are coming soon.