Agent-to-Agent communication refers to the direct interaction between autonomous AI agents without human mediation. In this setup, agents can delegate tasks, exchange information, and collaborate to achieve shared goals. This capability is foundational for multi-agent ecosystems, where each agent may specialize in a certain function but relies on others to complete broader workflows. A2A allows for distributed decision-making and the efficient division of labor across digital agents, enabling faster execution and improved scalability in complex enterprise environments.
