Mastering LLM Agent Frameworks: LangGraph, AG2, CrewAI, Semantic Kernel for AI Development

Shane | LLM Implementation · Beginner ·🤖 AI Agents & Automation ·10mo ago
Unlock the power of Large Language Model (LLM) agents and build sophisticated AI applications with this in-depth tutorial! For developers, AI enthusiasts, and students, we deep dive into four leading LLM agent frameworks: LangGraph, AG2, CrewAI, and Semantic Kernel. Learn their core concepts and practical implementations with hands-on Python examples, enabling you to create autonomous AI systems, advanced chatbots, and multi-agent workflows. **What you'll learn:** * **LangGraph:** Build stateful, multi-agent applications with memory (checkpointers), human-in-the-loop controls (interrupts), custom state, and even "time travel" to revisit conversation states. See a basic chatbot with web search (Tavily) integration. * **AG2:** Create production-ready AI agents focused on "Conversable Agents," covering orchestration, human-in-the-loop, tool integration, and structured outputs. We build a financial compliance assistant. * **CrewAI:** Explore this lean Python framework for building AI agent "Crews" (teams of agents) and "Flows" (event-driven workflow orchestration). Master project setup, defining agents/tasks in YAML, and leveraging conditional logic (@Or, @And, @Router decorators). Uses SerperDev tool. * **Semantic Kernel:** Understand the "kernel" as a central hub for managing AI services (like Google Gemini & OpenAI chat completion) and plugins (tools). Explore the Chat Completion Agent with a practical menu helper plugin, and learn about its agent architecture. This video is packed with hands-on code examples and aims to provide a solid foundation for anyone looking to build advanced AI solutions. **Don't miss out!** Like, share, and subscribe for more AI agent development tutorials and deep dives! Check out additional resources: LangGraph server/platform quickstarts, Google Agent Development Kit for multi-agent AI workflows and deployments. Timestamps: [0:00] Introduction [0:39] LangGraph Overview & Setup [2:38] LangGraph: Building a Basic Chatbot [9:29] LangGra
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