May 2
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Which framework should you choose for building agentic AI systems in production? In this presentation, we break down five of the most important development frameworks for agentic AI: LangGraph, OpenAI Agents SDK, AutoGen, CrewAI, and Semantic Kernel. You’ll get a side-by-side view of how each framework compares across orchestration model, language support, observability, human-in-the-loop workflows, memory, frontier model support, GitHub traction, and real-world production use. This video is designed for AI builders, product leaders, architects, and engineering teams who want to move beyond prototypes and choose the right framework for scalable, reliable agent systems. You’ll learn: Which framework is best for production-grade orchestration Which one is fastest for modern agent development Which tools are strongest for multi-agent collaboration Which framework fits enterprise and Microsoft-heavy environments How to match framework choice to workflow complexity and team needs Whether you are evaluating tools for an internal copilot, autonomous workflow engine, research agent, or enterprise AI platform, this guide will help you make a more informed decision. Frameworks covered: LangGraph, OpenAI Agents SDK, AutoGen, CrewAI, Semantic Kernel Topics: agentic AI, AI agents, multi-agent systems, LLM orchestration, AI frameworks, enterprise AI, GenAI development Suggested hashtags: #AgenticAI #AIAgents #LangGraph #OpenAI #AutoGen #CrewAI #SemanticKernel #LLM #GenerativeAI #EnterpriseAI