





At the Open Source Summit in Denver, Google announced a major open-source contribution. It has donated the Agent2Agent (A2A) protocol to the Linux Foundation. The protocol was first introduced during the Google Cloud Next event. A2A aims to make it easier for AI agents to communicate—regardless of how or where they were built.
This move supports a broader goal: enabling framework-agnostic communication between intelligent agents.
Agent2Agent is a protocol that allows AI agents to find, talk, and collaborate with each other. It doesn’t matter which framework or language they use. With A2A, developers can create agents that share capabilities, communicate in real time, and solve tasks together.
In short, the protocol promotes true interoperability between AI systems.
Google is not working alone on this project. Several tech giants have already joined the effort. These include AWS, Cisco, SAP, Salesforce, and ServiceNow. Their involvement shows strong industry interest in making A2A a common standard.
The protocol is now governed by the Linux Foundation, ensuring neutral and open oversight. As a result, developers and enterprises alike can contribute and benefit.
There has been some confusion between A2A and Anthropic’s Model Context Protocol (MCP). According to Google engineer Mike Smith, A2A is not trying to replace MCP. Instead, the two serve different purposes.
MCP connects agents to tools and external data. On the other hand, A2A connects agents to each other. This allows them to share capabilities and coordinate on complex tasks.
Because of this difference, the two protocols actually work well together.
The world of AI is advancing fast. More developers are building agents that can think, plan, and act. However, without shared standards, these agents struggle to work together. That’s where A2A fits in.
By setting a clear, open standard, A2A helps avoid silos and increases collaboration between systems.
Google’s donation of the Agent2Agent protocol is more than a technical move. It’s a step toward building cooperative, interoperable AI systems. With strong backing and open governance, A2A could shape how agents collaborate in the future.
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