Agent Frameworks
🎯 AutoGen vs Semantic Kernel
Community Vote — Which tool wins?
AutoGen
Tool AOpen-source framework for creating multi-agent AI systems where multiple AI agents collaborate to solve complex problems through structured conversations, role-based interactions, and autonomous task execution.
Starting Price
Open-source
Key Strengths
- ✓GroupChat and speaker selection patterns enable sophisticated multi-agent debates and collaborative problem-solving
- ✓Built-in code execution with Docker sandboxing lets agents write, run, and iterate on code safely
- ✓AutoGen 0.4's event-driven runtime supports distributed multi-process agent deployments via gRPC
Semantic Kernel
Tool BSDK for building AI agents with planners, memory, and connectors. - Enhanced AI-powered platform providing advanced capabilities for modern development and business workflows. Features comprehensive tooling, integrations, and scalable architecture designed for professional teams and enterprise environments.
Starting Price
Open-source
Key Strengths
- ✓Plugin system lets you expose existing C#/Python methods to LLMs with a single decorator — minimal refactoring needed
- ✓First-class .NET support with dependency injection, middleware patterns, and enterprise conventions C# teams already know
- ✓Azure OpenAI deep integration with managed identity, content safety filters, and enterprise deployment patterns baked in
Which would you choose for...
Vote in each scenario below