Apr 8
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The era of single-prompt chatbots is over. In 2026, the most powerful AI applications are built on Multi-Agent Orchestration. But with so many frameworks hitting the market, which one belongs in your production stack? In this video, we break down the top 4 multi-agent AI frameworks from a software architect's perspective. We’re moving past the hype to look at state management, type safety, and autonomous code execution. In this video, we cover: LangGraph: Why its support for cyclic graphs and persistence makes it the king of complex stateful workflows. CrewAI: How to use role-based orchestration to build a "digital scrum team" in minutes. AutoGen: Microsoft’s powerhouse for autonomous coding and self-healing agent conversations. PydanticAI: The newcomer bringing strict type safety and dependency injection to AI development. Who is this for? This deep dive is for Software Developers, AI Architects, and Engineers looking to move beyond basic LLM wrappers and build robust, autonomous systems. Timestamps: 00:00 Intro 00:23 LangGraph 01:03 CrewAI 01:45 AutoGen 02:30 PydanticAI 03:20 Outro Resources Mentioned: LangGraph: https://docs.langchain.com/oss/javascript/langgraph/overview#langgraph-overview CrewAI: https://docs.crewai.com/ AutoGen: https://microsoft.github.io/autogen/0.2/docs/Getting-Started/ PydanticAI: https://ai.pydantic.dev/ If you found this technical breakdown helpful, Subscribe for more deep dives into AI Architecture and System Design!