Agent-to-Agent (A2A) Protocol Explained: Google’s Vision for Decentralized AI Systems
Автор: Luca Berton
Загружено: 2025-08-02
Просмотров: 273
Explore the cutting-edge future of autonomous AI systems with a deep dive into Google’s Agent-to-Agent (A2A) protocol. In this talk, we uncover the technical challenges of evaluating multi-agent systems, compare A2A with MCP, and break down how state management, secure communication, and decentralized orchestration work in modern LLM architectures.
Key topics covered:
What is the A2A protocol and how it differs from MCP
The challenges of repeatability, explainability, and evaluation in agent systems
How A2A enables secure, modular, and long-running agent communication
Examples of real-world implementation in healthcare and enterprise settings
How agents communicate using audio, video, and text
The evolution toward truly autonomous, interoperable AI infrastructure
Whether you're an AI engineer, researcher, or developer exploring agent-based architectures, this session is packed with insights on the future of AI coordination, protocols, and security.
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