AutoGen vs Semantic Kernel: Agent Frameworks Comparison
Compare AutoGen and Semantic Kernel side by side. Both are tools in the Agent Frameworks category.
Quick Comparison
| Category | Agent Frameworks | Agent Frameworks |
| Pricing | Open Source | Open Source |
| Best For | Researchers and developers building multi-agent systems with structured conversation patterns | Enterprise .NET developers building AI applications on Microsoft infrastructure |
| Website | microsoft.github.io | learn.microsoft.com |
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When to Choose AutoGen vs Semantic Kernel
- Multi-agent debate and collaboration
- Code generation with execution verification
- Research tasks requiring multiple perspectives
- Enterprise AI on Microsoft stack
- Copilot-style applications
- Integrating AI into .NET applications
How to Choose a Agent Frameworks Tool
Key criteria to evaluate when comparing Agent Frameworks solutions:
About AutoGen
AutoGen is Microsoft's open-source framework for building multi-agent AI systems. It enables the creation of conversational agents that can work together, use tools, and interact with humans to solve complex tasks. AutoGen supports customizable agent behaviors, flexible conversation patterns, and integrations with various LLMs. The framework is popular for building research assistants, coding agents, and automated analysis pipelines.
About Semantic Kernel
Semantic Kernel is Microsoft's enterprise SDK for integrating AI into applications. It provides planners for multi-step task execution, plugin architectures for tool use, memory systems, and connectors for all major LLM providers. Available in C#, Python, and Java, Semantic Kernel is designed for enterprise .NET shops building AI-powered features into existing applications.
What is Agent Frameworks?
Developer frameworks and SDKs for building autonomous AI agents with tool use, planning, multi-step reasoning, and orchestration capabilities.
Browse all Agent Frameworks tools →