Michaela
Tech giant Google has launched an open agent-to-agent protocol that enables AI agents to communicate securely, marking a key step in improving AI interoperability.
In a post on its developer blog, Google revealed that the new A2A protocol was shaped by the company’s own experience in scaling agentic systems, aiming to tackle the challenges it encountered while deploying large, multi-agent frameworks for clients.
“Today, we’re launching a new, open protocol called Agent2Agent (A2A), with support and contributions from more than 50 technology partners like Atlassian, Box, Cohere, Intuit, Langchain, MongoDB, PayPal, Salesforce, SAP, ServiceNow, UKG and Workday; and leading service providers including Accenture, BCG, Capgemini, Cognizant, Deloitte, HCLTech, Infosys, KPMG, McKinsey, PwC, TCS, and Wipro,” Google wrote.
Google’s A2A protocol is designed to let AI agents interact seamlessly across platforms, enabling secure information exchange and coordinated actions within enterprise environments. By adopting the same protocol, developers can create agents that are interoperable, allowing them to connect and collaborate with others built using A2A.
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Additionally, AI agents can now share their capabilities through a machine-readable “Agent Card” formatted in JavaScript Object Notation (JSON). This system allows client agents to identify the most suitable agent for a given task. Once connected, agents can exchange messages that include context, responses, digital artefacts, or direct user instructions, enabling smoother collaboration and task execution.
Google further explains that A2A is an open protocol designed to work alongside Anthropic’s Model Context Protocol (MCP), which helps provide useful tools and context to AI agents. Built using Google’s experience with large-scale AI systems, A2A aims to solve common problems businesses face when using many agents at once.
For businesses, it offers a consistent way to manage these agents across different platforms and cloud services. Google said this kind of universal compatibility is key to unlocking the full potential of AI working together.
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“We believe this universal interoperability is essential for fully realizing the potential of collaborative AI agents,” the tech giant further stated.
As AI agents become more capable and widely adopted, protocols like A2A could play a critical role in shaping how they interact and collaborate. By prioritizing interoperability, Google aims to create a shared foundation that allows diverse agents—from different providers and platforms—to work together seamlessly. This step toward standardization may be essential in building more intelligent, cooperative, and scalable AI ecosystems in the years ahead.
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MICHAELA
Michaela is a news writer focused on cryptocurrency and blockchain topics. She prioritizes rigorous research and accuracy to uncover interesting angles and ensure engaging reporting. A lifelong book lover, she applies her passion for reading to deeply explore the constantly evolving crypto world.
