Microsoft Agent Framework: Consolidating AutoGen and Semantic Kernel
Microsoft has consolidated AutoGen and Semantic Kernel into a single Agent Framework. This article examines the merger, its stated design goals, and the trade-offs it presents for production teams.
Microsoft has announced the consolidation of two of its agent-orchestration efforts—AutoGen and Semantic Kernel—into a single Microsoft Agent Framework, described as the successor to both [1]. This article summarises the merger, its stated design goals, and the architectural trade-offs it presents.
Background: two lineages
AutoGen and Semantic Kernel represented distinct approaches within Microsoft:
| Aspect | AutoGen | Semantic Kernel |
|---|---|---|
| Origin | Microsoft Research | Azure AI |
| Emphasis | multi-agent conversation | plugin/skill orchestration |
| Languages | Python-first | multi-language (C#, Python, Java) |
| Positioning | research, experimental | production, Azure-integrated |
The consolidated framework is intended to combine AutoGen's multi-agent abstractions with Semantic Kernel's production and enterprise-integration foundations [1].
Status
As of the Release Candidate announcement, Microsoft Agent Framework has reached Release Candidate status for both .NET and Python, with Microsoft stating that the API surface is stable and that general availability would follow "in the coming weeks" [1]. Microsoft describes it explicitly as the successor to Semantic Kernel and AutoGen, providing a unified programming model across .NET and Python. The framework's programming model centres on composable agents and orchestrators:
from microsoft.agents import Agent, Team, Orchestrator
researcher = Agent(name="researcher", model="gpt-4o", skills=[web_search])
analyst = Agent(name="analyst", model="gpt-4o", skills=[data_analysis])
team = Team(agents=[researcher, analyst])
orchestrator = Orchestrator(team, strategy="hierarchical")
result = await orchestrator.run("Analyze Q3 market trends")
(Illustrative; consult the official documentation [1] for the current API.)
Stated capabilities include multi-language support, integration with Azure services (identity, secrets, monitoring), built-in tracing and metrics, and first-class human-in-the-loop approval workflows [1].
Migration considerations
Microsoft provides migration guidance for both predecessor frameworks [1]. Teams currently using Semantic Kernel are positioned closer to the new model, since it forms the framework's foundation; teams using AutoGen face a more substantial migration, mediated by a compatibility layer. Precise deprecation timelines should be taken from Microsoft's official communications rather than inferred, as they have been revised over the course of the framework's release process.
Trade-offs
Two considerations recur in analyses of the framework:
Ecosystem integration versus portability. The framework's value proposition is tight integration with the Azure ecosystem—identity, key management, monitoring, and scaling. This integration is advantageous for organisations already committed to Azure, but the same depth of coupling constitutes a practical portability cost for multi-cloud or self-hosted deployments, even though the framework itself is open source [1].
Execution model. The framework inherits a primarily step-wise execution model. Teams requiring durable execution—automatic persistence and replay of long-running workflows across process failures—should evaluate whether such guarantees are provided natively or must be supplied by the surrounding infrastructure. This is a general concern for agent frameworks and is discussed separately in the durable-execution literature.
Discussion
The consolidation is consistent with a broader maturation of the agent-tooling space, from exploratory libraries toward supported, opinionated platforms. Such platforms optimise for their originating ecosystem; the appropriate evaluation criterion for a given team is the degree of alignment between that ecosystem and the team's deployment, portability, and reliability requirements.
References
- Microsoft, "Migrate your Semantic Kernel and AutoGen projects to Microsoft Agent Framework (Release Candidate)," Microsoft Agent Framework DevBlog. https://devblogs.microsoft.com/agent-framework/migrate-your-semantic-kernel-and-autogen-projects-to-microsoft-agent-framework-release-candidate/