Microsoft Semantic Kernel & AutoGen

Microsoft Semantic Kernel & AutoGen are complementary AI orchestration frameworks that enable developers to build sophisticated conversational AI agents and multi-agent systems through structured programming interfaces and automated conversation flows. Semantic Kernel provides a lightweight SDK that integrates large language models with conventional programming languages, enabling developers to combine AI capabilities with existing codebases through semantic functions, plugins, and memory management systems. AutoGen focuses on multi-agent conversation orchestration, allowing developers to create teams of AI agents that engage in structured dialogues, collaborative problem-solving, and automated workflows through configurable conversation patterns. These frameworks incorporate prompt engineering best practices, function calling capabilities, and integration with Azure OpenAI services to streamline enterprise AI development. Semantic Kernel emphasizes planners, connectors, and semantic memory systems that enable AI agents to reason about tasks and maintain context across interactions. AutoGen specializes in conversation management, role-based agent interactions, and automated group chat scenarios that facilitate complex multi-turn dialogues. Together, these Microsoft frameworks provide comprehensive tools for building production-ready AI applications that leverage conversational AI, automated reasoning, and collaborative agent architectures within enterprise environments and cloud-native infrastructures.