| Framework | Language | Multi-Agent | Tool Support | Community | Production-Ready |
|---|---|---|---|---|---|
| CrewAI | Python | ✅ Native | ✅ Integrations | 🟢 Growing | ✅ Ja |
| AutoGen | Python | ✅ Advanced | ✅ Ja | 🟡 Microsoft | ✅ Ja |
| LangGraph | Python | ✅ Graph-based | ✅ Ja | 🟢 Growing | ✅ Ja |
| Semantic Kernel | C# + Python | ✅ Plugins | ✅ Ja | 🟡 Microsoft | ✅ Ja |
CrewAI
Best für: Rapid prototyping von Multi-Agent-Teams
from crewai import Agent, Task, Crew
writer = Agent(
role="Writer",
goal="Write quality content",
llm="gpt-4"
)
task = Task(
description="Write blog post about AI",
agent=writer
)
crew = Crew(agents=[writer], tasks=[task])
result = crew.kickoff()
AutoGen
Best für: Conversation-basierte Multi-Agent-Systeme
Architektur: UserProxy ↔ ConversableAgent
LangGraph
Best für: Complex workflow graphs mit Kontrolle
State Machine Ansatz mit Zustandsübergängen.
Semantic Kernel
Best für: Enterprise (Microsoft .NET Integration)
Plugins, Skills, Connectors als abstraktion Layer.
Empfehlung
- Schneller Prototyp: CrewAI
- Conversation-Agents: AutoGen
- Complex Workflows: LangGraph
- Enterprise .NET: Semantic Kernel
