AutoGen vs Semantic Kernel
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | AutoGen | Semantic Kernel |
|---|---|---|
| Pricing | free · from Open Source $0/mo | free · from Open Source $0/mo |
| Best for | Developers building agents in Python or .NET, Researchers studying multi-agent collaboration | .NET developers building copilots and AI agents, Enterprise teams on Microsoft Azure |
| Standout features | AutoGen Studio web UI for prototyping agents without writing code · AgentChat Python framework for conversational single- and multi-agent apps · Core event-driven framework for scalable multi-agent systems | Plugin-based skill composition · Memory management for context · Process Framework for stateful workflows |
| Viability score | 69/100 | 73/100 |
| API | Yes | Yes |
AutoGen is the stronger pick for developers building agents in python or .net; Semantic Kernel fits better for .net developers building copilots and ai agents.
Built from live tool data, last verified 2026-09-28.

Microsoft's open-source framework for building conversational and event-driven AI agents in Python and .NET.
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Microsoft's open-source SDK for building production-grade AI agents with plugins, memory, and orchestration.
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Which is better, AutoGen or Semantic Kernel?
The best choice between AutoGen and Semantic Kernel depends on your specific use case — we compare them independently on features, current pricing, integrations, and real-world signals (with an on-demand sentiment scan available for each). See the side-by-side breakdown above to match them to your needs.
What are the main differences between AutoGen and Semantic Kernel?
The key differences include pricing model, feature set, platform support, and skill level requirements. Review the full comparison on RightAIChoice for a detailed breakdown.
Is there a free version of AutoGen or Semantic Kernel?
Check the pricing section in the comparison for the latest pricing details on both tools, including free tiers, trial options, and paid plans.
More AutoGen or Semantic Kernel comparisons
If you're engineering complex agents that must run reliably in production and you need deep debugging, evaluation, and autonomous issue diagnosis, choose LangChain. If you're a developer or researcher
If you're a .NET shop on Azure building production copilots, Semantic Kernel is the no-brainer——it's free, deeply integrated with Microsoft's stack, and the process framework handles durable workflows
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Last reviewed: May 12, 2026