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Mark Wallace
32 lines
1.6 KiB
Markdown
32 lines
1.6 KiB
Markdown
# Microsoft Agent Framework
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Highlights
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- Flexible Agent Framework: build, orchestrate, and deploy AI agents and multi-agent systems
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- Multi-Agent Orchestration: Group chat, sequential, concurrent, and handoff patterns
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- Plugin Ecosystem: Extend with native functions, OpenAPI, Model Context Protocol (MCP), and more
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- LLM Support: OpenAI, Azure OpenAI, Azure AI Foundry, and more
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- Runtime Support: In-process and distributed agent execution
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- Multimodal: Text, vision, and function calling
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- Cross-Platform: .NET and Python implementations
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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).
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## More Examples & Samples
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### Python
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- [Getting Started with Agents](./python/samples/getting_started/agents): Basic agent creation and tool usage
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- [Chat Client Examples](./python/samples/getting_started/chat_client): Direct chat client usage patterns
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- [Azure Integration](./python/packages/azure): Azure OpenAI and AI Foundry integration
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### .Net
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- [Getting Started with Agents](./dotnet/samples/GettingStarted/Steps): Basic agent creation and tool usage
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- [Agent Provider Samples](./dotnet/samples/GettingStarted/Providers): Samples showing different agent providers
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- [Orchestration Samples](./dotnet/samples/GettingStarted/Orchestration): Advanced multi-agent patterns
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## Agent Framework Documentation
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- [Agent Framework Repository](https://github.com/microsoft/agent-framework)
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- [Design Documents](./docs/design)
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- [Architectural Decision Records](./docs/decisions)
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- Learn docs are coming soon.
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