A2A reached production. Here is what that means, and what it does not.

A little over a year ago, Google introduced a protocol called A2A, short for Agent-to-Agent, meant to let AI agents built by different companies discover one another and work together. This past spring it passed its one-year mark, and the milestones are real. It is now developed in the open under the Linux Foundation rather than owned by any single company, it has the backing of a large number of major technology firms, and it is integrated across the big cloud platforms. By the ordinary standards of a young protocol, that is a strong first year, and it is fair to say A2A has reached production.

It helps to be precise about what A2A is, because it is easy to blur it with the other standard people mention in the same breath. There are two different connections an agent needs to make. One is downward, to its own tools, a database, a search service, an internal function, and the widely used standard for that is the Model Context Protocol, or MCP. The other is sideways, to other agents, including ones built by strangers, and that is what A2A handles. A2A lets an agent advertise what it can do, find other agents, agree on what is permitted, and hand off a task that might take seconds or days. MCP connects an agent to its tools. A2A connects an agent to its peers. Together they let work flow across many agents from many makers.

So what does reaching production actually mean? It means the basic wiring for agents to talk to each other now exists, is open, and is broadly supported, so builders can rely on it rather than inventing their own. That is genuinely important. For agents from different companies to cooperate at all, they needed a shared language, the way every website needed a shared protocol, and now they have one the major players have agreed to.

Here is what it does not mean, and this is the part worth dwelling on. A protocol that lets agents talk is not the same as a system you can trust. A2A defines how a message is passed and how a task is described. It does not, on its own, prove that the agent on the other end is who it claims to be, decide what that agent should be allowed to do, or settle who is responsible when something goes wrong. Those are separate problems, and they are harder than the messaging, because they are questions of trust and judgment rather than plumbing. A shared language makes cooperation possible. It does not make cooperation safe.

This is the pattern to watch across the whole agent economy. The communication layer is maturing quickly, the payment layer is arriving, and each new standard is met with understandable excitement. But the standards that move fastest are the mechanical ones, the ones about how things connect, precisely because they are the most tractable. The slower, harder work is the layer above them, the identity, the limits, the accountability, and the agreements. A2A crossing into production is a milestone worth marking. It is the starting line for the interesting problems, not the finish line, and treating it as the finish line is how you end up with a fast, capable system that no one can quite trust.