AutoGen vs CrewAI vs LangGraph: Battle of the Agent Frameworks

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Get ready for a high-stakes AI face-off as three leading multi-agent frameworks - AutoGen, CrewAI, and LangGraph, go head-to-head solving the same real-world AI problem: Building a Multi-Agent Helpdesk AI Assistant.

Watch top Agentic AI practitioners demonstrate how each framework tackles this challenge: from structuring agent teams to orchestrating decisions across multiple steps. This unique session combines live hands-on demos and a panel discussion. You’ll walk away with a clear view of what each framework does best, where they struggle, and how to pick the right one for your next Agentic AI project.

Key Takeaways:

  • Three Frameworks, One Use Case: See how AutoGen, CrewAI, and LangGraph each build the same multi-agent helpdesk system - with similar and yet different ways to approach multi-agent collaboration.
  • Deep Dive into Agent Design: Understand how each framework defines agent roles, assigns tools, structures prompts, and routes messages across multiple reasoning steps.
  • Integrations and Extensibility: Explore how easy (or painful) it is to plug in external tools, vector databases, LLM calls in each framework.
  • Performance vs Simplicity: Get a clear picture of which framework is best suited for fast prototyping, scalable deployment, or complex multi-step workflows.
  • Practical Decision-Making Guide: Leave with a mental checklist to help you choose the right multi-agent framework for your next AI project - whether you're building fast prototypes or deploying production-grade AI workflows.

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