Agent to Agent Protocol: Benefits and Workflows

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The Agent2Agent (A2A) protocol addresses a critical challenge in the AI landscape: enabling gen AI agents, built on diverse frameworks by different companies running on separate servers, to communicate and collaborate effectively - as agents, not just as tools. A2A aims to provide a common language for agents, fostering a more interconnected, powerful, and innovative AI ecosystem.
 
In this session, we will learn how A2A agents discover each other's capabilities, negotiate interaction modalities (text, forms, media), securely collaborate on long-running tasks, and operate without exposing their internal state, memory, or tools.

Key Takeaways:

  • Learn how GenAI agents can communicate and collaborate across frameworks and infrastructures using the A2A protocol.
  • Explore how agents securely negotiate modalities and tasks, without exposing internal memory, tools, or proprietary logic.
  • Understand the mechanics of agent discovery, interaction standards, and long-running collaboration workflows.
  • Get practical insights into building interoperable, scalable multi-agent systems that go beyond tool-based interactions.

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