Semantic Kernel and Microsoft Agent Framework: A Dynamic Duo for AI Development
product#agent🏛️ Official|Analyzed: Feb 18, 2026 10:45•
Published: Feb 18, 2026 10:41
•1 min read
•Zenn OpenAIAnalysis
This article provides a fantastic comparative analysis of Semantic Kernel and the Microsoft Agent Framework, demystifying their roles in building AI applications. The author clearly explains the differences between these technologies, helping developers choose the right tools for various project needs. The breakdown of each framework's strengths makes it easy to understand where they excel.
Key Takeaways
- •Semantic Kernel is ideal for simpler, single-agent AI tasks.
- •Microsoft Agent Framework excels in complex, multi-agent scenarios, especially for enterprise use.
- •The article helps clarify the distinctions, preventing confusion among developers.
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Reference / Citation
View Original"SK is 'lightweight, easy to use, and for single agents.' MAF is for 'complex, long-running, multi-agent, and enterprise-oriented' applications."