Agent-to-Agent (A2A) Protocol: How Cross-Agent Communication Works in Production

The Agent-to-Agent (A2A) protocol, introduced by Google in April 2025, offers a standardized method for AI systems to communicate, enabling multiple agents to coordinate tasks across different systems without custom code. Using HTTP for transport, JSON-RPC for structured messaging, and server-sent events for updates, the protocol supports asynchronous communication, allowing agents to delegate tasks and continue operations while maintaining interoperability and security. The A2A protocol defines client and remote agent roles, facilitating dynamic interaction and collaboration among tools. It incorporates four main components: agent cards for capability discovery, tasks for specific work units, messages for data exchange, and a transport layer for data flow. Its robust security features, including mTLS and OAuth, ensure safe and authorized communication, making it suitable for enterprise use. Although A2A enhances system capabilities, it introduces challenges like complex troubleshooting, security risks, and network lag, requiring careful planning and observability. Tools like n8n integrate with A2A to manage distributed systems, enabling teams to build scalable, interoperable multi-agent architectures.

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