Dify vs Semantic Kernel: Agent Frameworks Comparison
Compare Dify 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 | Technical teams who want a visual builder for AI applications with the option to self-host | Enterprise .NET developers building AI applications on Microsoft infrastructure |
| Website | dify.ai | learn.microsoft.com |
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When to Choose Dify vs Semantic Kernel
- Building AI chatbots without deep coding
- RAG application development
- AI workflow prototyping
- 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 Dify
Dify is an open-source platform for building LLM applications with both visual and code-based interfaces. It provides a workflow orchestration engine, RAG pipeline builder, agent framework, and model management—all accessible through a web UI. Dify supports 50+ LLM providers, offers enterprise features like SSO and access control, and can be self-hosted or used as a cloud service.
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 →