---
title: "Microsoft's Agent Framework Merges AutoGen and Semantic Kernel Into One Open-Source SDK"
subtitle: "Microsoft Agent Framework 1.0 hits GA, unifying AutoGen and Semantic Kernel into a single open-source SDK for production-grade AI agents in Python and .NET"
url: "https://alphasignal.ai/news/microsoft-s-agent-framework-merges-autogen-and-semantic-kernel-into-one-open"
author: "AlphaSignal Newsroom"
author_url: "https://alphasignal.ai/editorial-team"
company: "AlphaSignal"
company_url: "https://alphasignal.ai/company/alphasignal"
published: "2026-06-24T00:32:45.000Z"
updated: "2026-06-24T07:15:17.492Z"
type: "Repo"
topics:
  - "Agents"
  - "Open Source"
subtopics:
  - "Agent Frameworks"
  - "Multi Agent"
  - "Tool Use"
upvotes: 11
source_url: "https://github.com/microsoft/agent-framework"
comments: 0
truncated: true
---

# Microsoft's Agent Framework Merges AutoGen and Semantic Kernel Into One Open-Source SDK

> Microsoft Agent Framework 1.0 hits GA, unifying AutoGen and Semantic Kernel into a single open-source SDK for production-grade AI agents in Python and .NET

For years, Microsoft developers building AI agents faced an awkward question: AutoGen or Semantic Kernel? The two frameworks grew up in different parts of Microsoft, served different masters, and never quite converged. AutoGen was research-grade: flexible and great for experimental multi-agent workflows, but weak on production concerns like state management and telemetry. Semantic Kernel was the enterprise play: type-safe and telemetry-rich, but with orchestration rigid enough to frustrate anyone who needed agents to reason dynamically. That split is now officially over.

## One framework to replace them both

When Microsoft introduced the Agent Framework, they set out to unify the enterprise-ready foundations of Semantic Kernel with the innovative orchestrations of AutoGen into a single, open-source SDK. MAF reached 1.0 GA on April 2, 2026, bringing the convergence of AutoGen and Semantic Kernel into a single, supported platform. The [repository](https://github.com/microsoft/agent-framework) has already crossed 10,000 stars and nearly 2,000 forks.

It combines AutoGen's simple abstractions for single- and multi-agent patterns with Semantic Kernel's enterprise-grade features such as session-based state management, type safety, filters, and telemetry. Beyond merging the two, Agent Framework introduces workflows that give developers explicit control over multi-agent execution paths, plus a robust state management system for long-running and human-in-the-loop scenarios.

## What's actually in the box

The framework provides a unified programming model across .NET and Python with: simple agent creation, function tools with type-safe definitions, graph-based workflows supporting sequential, concurrent, handoff, and group chat patterns with streaming, checkpointing, and human-in-the-loop support, multi-provider support across Microsoft Foundry, Azure OpenAI, OpenAI, GitHub Copilot, Anthropic Claude, AWS Bedrock, Ollama, and more, and interoperability via A2A, AG-UI, and MCP standards.

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## Sources

- [microsoft/agent-framework — GitHub](https://github.com/microsoft/agent-framework)
- [Microsoft Agent Framework Version 1.0 — Microsoft Dev Blogs](https://devblogs.microsoft.com/agent-framework/microsoft-agent-framework-version-1-0/)
- [Microsoft Agent Framework at BUILD 2026 — Microsoft Dev Blogs](https://devblogs.microsoft.com/agent-framework/microsoft-agent-framework-at-build-2026-announce/)
- [Microsoft Agent Framework Overview — Microsoft Learn](https://learn.microsoft.com/en-us/agent-framework/overview/)
- [Microsoft Agent Framework 1.0: AutoGen Meets Semantic Kernel — byteiota](https://byteiota.com/microsoft-agent-framework-1-0-autogen-semantic-kernel/)