Modern AI development is rapidly shifting from isolated LLM prompts to orchestrated systems of collaborative agents. But with so many tools and frameworks emerging, interoperability remains a key challenge. In this talk, we introduce three powerful and complementary technologies: CrewAI, a lightweight framework for autonomous multi-agent collaboration; LangGraph, a graph-based orchestration engine for LLM workflows; and Google’s Agent-to-Agent (A2A) protocol, a new open standard enabling agents to discover and communicate across frameworks and infrastructures.

You’ll learn how each technology works, what problems they solve, and how they differ in design and application. The final part of the talk is a live demo: an AI agent that receives a user request and coordinates with two separate agent stacks—one built with CrewAI and another with LangGraph—via the Google A2A protocol, showcasing seamless cross-framework problem-solving in action.

Audience: AI developers, architects, and technical leads building agent-based systems or evaluating agent frameworks.
Length: 40 minutes.
Innovation: This is a brand-new talk featuring a live demo of multi-framework agent interoperability using Google A2A.
Takeaways: Attendees will leave with a clear understanding of CrewAI, LangGraph, and A2A; practical insights on when and how to use each; and a blueprint for building scalable, interoperable, multi-agent systems.