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@@ -27,7 +27,7 @@ These capabilities allow agents to operate more autonomously, adaptively, and in
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## What are workflows?
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As objectives grow in complexity, they need to be broken down into manageable steps. That’s where workflows come in.
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As objectives grow in complexity, they need to be broken down into manageable steps. That's where workflows come in.
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**Workflows define the sequence of steps required to achieve an objective.**
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A few important observations:
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- Each step may contain subtasks.
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- Different specialists may own different phases.
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- Progress isn’t always linear. Bugs found during testing may send you back to implementation.
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- Each step might contain subtasks.
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- Different specialists might own different phases.
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- Progress isn’t always linear. Bugs found during testing might send you back to implementation.
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- Success depends on planning, orchestration, and communication across stakeholders.
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### Agents + Workflows = Agentic Workflows
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### Agents + workflows = agentic workflows
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Workflows don’t require agents, but agents can supercharge them.
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Workflows don't require agents, but agents can supercharge them.
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When agents are equipped with reasoning, tools, and context, they can optimize workflows.
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This is the foundation of multi-agent systems, where agents collaborate within workflows to achieve complex goals.
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### Workflow orchestration
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Agentic workflows can be orchestrated in a variety of ways. The following are a few of the most common.
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Agentic workflows can be orchestrated in a variety of ways. The following are a few of the most common:
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-[Sequential](#sequential)
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-[Concurrent](#concurrent)
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-[Handoff](#handoff)
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-[Group chat](#group-chat)
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#### Sequential
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#### Group Chat
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#### Group chat
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Agents collaborate in a shared conversation, exchanging insights in real-time.
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## How can I get started building agents in .NET?
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The building blocks in Microsoft.Extensions.AI as well as Microsoft.Extensions.VectorData provide you with the foundations for agents by providing modular components for AI models, tools, and data.
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The building blocks in <xref:Microsoft.Extensions.AI> and <xref:Microsoft.Extensions.VectorData> supply the foundations for agents by providing modular components for AI models, tools, and data.
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These components serve as the foundation for Microsoft Agent Framework.
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See the [Microsoft Agent Framework documentation](/agent-framework/overview/agent-framework-overview) to learn more.
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For more information, see [Microsoft Agent Framework](/agent-framework/overview/agent-framework-overview).
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