Question 1

Is Langflow better than Semantic Kernel?

Accepted Answer

It depends on your use case. Langflow is known for Visual framework for building multi-agent AI apps, while Semantic Kernel Microsoft's AI orchestration SDK for building agents with .NET, Python, and Java. See our full comparison above for a detailed breakdown.

Question 2

Is Langflow free?

Accepted Answer

Langflow pricing: Free (open-source) + Cloud.

Question 3

Is Semantic Kernel free?

Accepted Answer

Semantic Kernel pricing: Free (open-source).

Question 4

What are the main differences between Langflow and Semantic Kernel?

Accepted Answer

Langflow and Semantic Kernel differ in features, pricing, and platform support. Langflow: Visual framework for building multi-agent AI apps. Semantic Kernel: Microsoft's AI orchestration SDK for building agents with .NET, Python, and Java. See the full side-by-side comparison above for details.

Feature	Langflow	Semantic Kernel
Category	Automation Platforms	Developer Tools
Pricing	Free (open-source) + Cloud	Free (open-source)
GitHub Stars	✓ More stars 35k	23k
Platforms	Linux, macOS, Windows, Docker, Web	Linux, macOS, Windows
Key Features	✓ Visual builder ✓ Drag-and-drop ✓ Component library ✓ API export ✓ Multi-model	✓ Plugin system ✓ Memory ✓ Planner ✓ Multi-language ✓ Azure integration
Pros	+ Intuitive visual builder + LangChain ecosystem integration + Easy prototyping + Export as Python code + Growing component library	+ Enterprise-ready with Microsoft backing + Multi-language (C#, Python, Java) + Deep Azure OpenAI integration + Plugin architecture for extensibility
Cons	− Tied to LangChain ecosystem − Limited for very custom logic − Can be slow for complex flows − Still maturing	− Heavy enterprise focus − Verbose API compared to alternatives
Tags	no-codevisuallangchainopen-source	microsoftsdkenterprisedotnet

LangflowvsSemantic Kernel

Langflow

Semantic Kernel

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