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Guide — Updated August 2026

Microsoft Agent Framework Guide

What Microsoft Agent Framework is, how it relates to Semantic Kernel and AutoGen, and how to adopt it.

Agent Framework unifies Semantic Kernel and AutoGen. This guide explains what it is and how to migrate to it.

This guide explains Microsoft Agent Framework 1.0 (GA): the unified successor to Semantic Kernel and AutoGen, offering agents, function tools, and graph-based (data-flow) workflows across .NET and Python, multi-provider models, and interop (MCP, A2A). It covers migration from SK (largely API-compatible for single agents) and AutoGen (event-driven → graph workflows), and deployment as Foundry hosted agents.

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This guide explains Microsoft Agent Framework in practical terms — what it is, how it works on Azure day to day, the common production problems and how they are handled, and how professional support fits in. It reflects the Microsoft/Azure product state through August 2026 and is written for working Azure AI/ML professionals and candidates who want clear, real-world answers rather than marketing.

This is an educational guide. If you decide you want hands-on help, we also offer real-time Azure AI/ML job support, production issue support, interview assistance, and candidate marketing — but the guide itself is here to inform, and you can act on it however you like.

Azure AI Engineers, Microsoft Foundry engineers, Azure OpenAI developers, Azure ML and MLOps engineers, data scientists, and anyone preparing for Azure AI/ML roles or currently working on Azure AI projects who wants to understand the topic clearly and avoid common mistakes.

Reach out on WhatsApp describing your situation — your Azure stack, your role, and what you are stuck on. We will point you to the right support option, whether that is live job support, a production fix, interview help, or profile positioning.

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