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* Add PrPr welcome message and important notes to README Enhanced the README with a comprehensive welcome message for the private preview, highlighting the multi-language framework capabilities and key features. Added important notes about package availability and the need to sync forks regularly for this active project. * Update README to use 'clone' instead of 'fork and clone' * Update README.md Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com> --------- Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
47 lines
2.9 KiB
Markdown
47 lines
2.9 KiB
Markdown
# Microsoft Agent Framework
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## Welcome to the Private Preview of Agent Framework!
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You're getting early access to Microsoft's comprehensive multi-language framework for building, orchestrating, and deploying AI agents with support for both .NET and Python implementations. This framework provides everything from simple chat agents to complex multi-agent workflows with graph-based orchestration.
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**A few important notes:**
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- There currently are not public pypi or nuget packages for the SDKs. In order for the code and samples to work, please clone this repo and run the code here.
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- The repo is an active project so make sure to sync regularly.
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**We want your feedback!**
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- For bugs, please file a [GitHub issue](https://github.com/microsoft/agent-framework/issues).
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- For feedback and suggestions for the team, please fill out [this survey](https://forms.office.com/Pages/ResponsePage.aspx?id=v4j5cvGGr0GRqy180BHbR9huAe5pW55CqgnnimXONJJUMlVMUzdCN1ZGOURXODlBSVJOSkxERVNCNS4u).
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**Highlights**
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- Flexible Agent Framework: build, orchestrate, and deploy AI agents and workflows
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- Multi-Agent Orchestration: group chat, sequential, concurrent, and handoff patterns
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- Graph-based Workflows: connect agents and deterministic functions using data flows with streaming, checkpointing, time-travel, and Human-in-the-loop.
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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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- [Getting Started with Workflows](./python/samples/getting_started/workflow): basic workflow creation and integration with agents
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### .Net
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- [Getting Started with Agents](./dotnet/samples/GettingStarted/Agents): basic agent creation and tool usage
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- [Agent Provider Samples](./dotnet/samples/GettingStarted/AgentProviders): 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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- [Python documentation](./user-documentation-python/README.md)
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- [DotNet documentation](./user-documentation-dotnet/README.md)
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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. |