# 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](./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
- [Getting Started with Workflows](./python/samples/getting_started/workflow): basic workflow creation and integration with agents

### .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
- [Getting Started with Workflows](./dotnet/samples/GettingStarted/Workflow): (Coming soon) basic workflow creation and integration with agents

## 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.