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docs: refine README intro paragraph
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@@ -11,16 +11,7 @@
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Microsoft Agent Framework (MAF) is an open, multi-language framework for building **production-grade AI agents and multi-agent workflows** in **.NET and Python**.
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It is designed for teams moving beyond prototypes who need:
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- a consistent agent programming model with tools, middleware, and provider flexibility,
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- graph-based workflows with checkpointing, streaming, human-in-the-loop, and time-travel,
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- durable and restartable execution for long-running, stateful orchestration,
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- interoperable architectures through MCP and Agent-to-Agent (A2A) communication,
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- built-in observability and tracing with OpenTelemetry,
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- and practical paths to test, host, and operate agents in real production systems.
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MAF supports a broad ecosystem including Microsoft Foundry, Azure OpenAI, OpenAI, and the GitHub Copilot SDK, with samples and hosting patterns for both local development and cloud deployment.
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Microsoft Agent Framework is built for teams taking agents from prototype to production. It provides a consistent foundation for building, orchestrating, and operating agent systems across Python and .NET, while keeping architecture choices open as requirements evolve, and supports a broad ecosystem including Microsoft Foundry, Azure OpenAI, OpenAI, and the GitHub Copilot SDK, with samples and hosting patterns for both local development and cloud deployment.
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<p align="center">
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<a href="https://www.youtube.com/watch?v=AAgdMhftj8w" title="Watch the full Agent Framework introduction (30 min)">
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@@ -43,9 +34,6 @@ MAF is a strong fit if you:
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- care about durability, restartability, observability, governance, or human-in-the-loop control,
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- need provider flexibility so your architecture can evolve without major rewrites.
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If your scope is limited to experimentation or simple single-prompt chatbots,
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MAF may be more than what you need today. It is intentionally designed for systems where agent behavior, reliability, and operational needs grow over time.
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## Key Features
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Explore new MAF capabilities and real implementation patterns on the [official blog](https://devblogs.microsoft.com/agent-framework/).
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