Agent2Agent
Developed by Google, A2A is a protocol designed to facilitate seamless communication and coordination among autonomous AI agents, regardless of their underlying platforms or vendors.
While A2A focuses on agent-to-agent interactions, it complements MCP’s agent-to-tool communication. In practice, an agent might use MCP to access external tools or data sources and A2A to delegate tasks or share information with other agents. This layered approach enables the construction of sophisticated, interoperable AI ecosystems.
The premise of A2A is that one agent should be able to request assistance or share information with another agent, even if they were built by different organizations or are running on different platforms. This is crucial for scaling AI solutions: rather than one giant AI trying to do everything, we can have networks of smaller AIs each doing what they’re best at and talking to each other to accomplish complex tasks.
At its heart, A2A...
