Google has announced the launch of Agent2Agent (A2A), an open interoperability protocol designed to enable seamless collaboration between AI agents across diverse frameworks and vendors. Aimed at enterprises, the protocol seeks to address the challenges of siloed systems by standardizing communication between agents, thereby automating complex workflows and enhancing productivity. Supported by over 50 technology partners, including Salesforce, SAP, ServiceNow, and MongoDB, A2A provides a universal framework for AI agents to securely exchange information, coordinate actions, and integrate across enterprise platforms.
Google is introducing the Agent-2-Agent protocol to connect local and remote agents with different modalities.
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The A2A protocol operates on key principles such as capability discovery, task management, collaboration, and user experience negotiation. For instance, agents can publish their capabilities via JSON-formatted "Agent Cards," allowing client agents to identify the most suitable remote agent for a task. The protocol also facilitates lifecycle management for tasks, enabling real-time synchronization between agents. Built on established standards like HTTP and JSON, A2A ensures compatibility with existing systems while prioritizing security.
Google has released A2A as open source, inviting contributions from the broader community to refine and expand its functionality. The protocol complements Anthropic's Model Context Protocol (MCP) and is positioned as a higher-level abstraction for agent communication. Google plans to launch a production-ready version later this year.
This initiative is significant for enterprises striving to implement AI-driven automation across diverse systems. By enabling interoperability between specialized agents, A2A addresses a critical barrier to scaling agentic AI solutions. Industry leaders such as Deloitte have highlighted its potential to unify workflows and reduce integration costs.
In comparison with other protocols like Anthropic's MCP or Microsoft's AutoGen framework, A2A emphasizes open collaboration and community-driven development. It aligns with Google's broader strategy of fostering innovation in AI while ensuring trustworthiness and scalability. As enterprises increasingly adopt AI agents for tasks ranging from customer service to supply chain management, A2A represents a pivotal step toward realizing the full potential of multi-agent ecosystems.
