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Tool Comparison
CrewAI
Multi-agent AI orchestration — define crews of specialized agents that collaborate.
VS
At a Glance
| Attribute | CrewAI | Semantic Kernel |
|---|---|---|
| License / Pricing | Open Source | Open Source |
| Type | ai | ai |
| GitHub Stars | — | — |
| Rating | 4.4/5 | 4.2/5 |
| Key Features | 6 listed | 6 listed |
| Integrations | 4 listed | 5 listed |
| Categories | AI Agents | AI Agents |
Key Features
CrewAI
- Role-based agent design with goals and backstory
- Sequential and hierarchical task execution
- Built-in tools: web search, file read/write, code execution
- Agent memory for long-running workflows
- Human-in-the-loop support
- CrewAI Flows for deterministic agent pipelines
Semantic Kernel
- Plugins — wrap functions as AI-callable tools
- Planner for autonomous goal decomposition
- Memory store with vector DB integrations
- Multi-LLM support: Azure OpenAI, OpenAI, Mistral, Ollama
- Available in Python, C#, and Java
- Native integration with Microsoft 365 and Azure
Real-World Use Cases
CrewAI
Automated research and content pipeline
Define a Researcher agent with web search tools
Semantic Kernel
Add AI to a .NET enterprise application
Add the Microsoft.SemanticKernel NuGet package
Integrations
CrewAI
openaianthropiclangchainllamaindex
Semantic Kernel
openaianthropicazure-devopslangchainpinecone
🏆 Which should you choose?
Choose CrewAI if…
- → you're already in the AI Agents ecosystem and prefer CrewAI's workflow
Choose Semantic Kernel if…
- → you're already in the AI Agents ecosystem and prefer Semantic Kernel's workflow