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The agent framework samples are designed to help you get started with building AI-powered agents from various providers.
The Agent Framework supports building agents using various inference and inference-style services. All these are supported using the single ChatClientAgent class.
The Agent Framework also supports creating proxy agents, that allow accessing remote agents as if they were local agents. These are supported using various AIAgent subclasses.
| Folder | Description |
|---|---|
| 01-get-started/ | Progressive tutorial: hello agent → first workflow |
| 02-agents/ | Deep-dive by concept: tools, middleware, providers, orchestrations |
| 03-workflows/ | Workflow patterns: sequential, concurrent, state, declarative |
| 04-hosting/ | Deployment: A2A and Foundry hosted agents |
| 05-end-to-end/ | Full applications, evaluation, demos |
For published integrations maintained outside the Agent Framework team, see Community projects.
Start with 01-get-started/ and work through the numbered files:
Some additional samples of note include:
If you are migrating from Semantic Kernel to the Microsoft Agent Framework, the following resources provide guidance and side-by-side examples to help you transition your existing agents, tools, and orchestration patterns. The migration samples map Semantic Kernel primitives (such as ChatCompletionAgent and Team orchestrations) to their Agent Framework equivalents (such as ChatClientAgent and workflow builders).
For an in-depth migration guide, see the official migration documentation.
For prerequisites see each set of samples for their specific requirements.
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