AI Agents Built by Different Teams Can Finally Work Together Without Custom Glue Code
While researching multi-agent pipeline architectures, one failure pattern kept showing up.
The orchestration agent and the data retrieval agent would both run fine independently. The moment one needed to hand a task off to the other, someone wrote a function. When the result needed to come back, another function. When a third agent from a different framework entered the picture - a LangGraph agent sitting next to Pydantic AI agents - the number of custom handoff functions being maintained started becoming its own engineering surface area.
Teams were spending real time on glue code. Not on the agents themselves. Not on the tasks they were doing. On the pipes between them.
That pattern showed up consistently enough that it has a name now. And A2A is the protocol the industry built to solve it.
What A2A Actually Is
Google announced A2A at Google Cloud Next in April 2025 as an...
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