Google’s new Agent2Agent protocol is a key step toward a future of AI Agent interoperability. No single tool has all the data a user or business needs for most workflows, so we need Agents to be able to talk to each other. Salesforce will have AI Agents that understand... the inner workings of CRM, Workday will have AI Agents that understand HR workflows, Box has AI Agents that understand content and documents, and so on. It’s easy to conceive of a world where we have tens of thousands of these tool Agents and then billions or trillions of customized Agents that are extensions of those. So openness becomes key. Workflows need data from multiple systems to complete the task — like a sales report that needs documents and CRM data or an HR task that needs HR policies and employee details — and that’s where A2A comes in. This protocol gives AI Agent providers a way of talking to each other and simplifying the way that Agents communicate, understand each other’s capabilities, and so on. It’s great to see more interoperability, along with MCP, emerging in the AI space right now, as this will define the future of most IT stacks.show more

We need a secure pipe not owned by a single company tho.

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Your AI posts are a sign nature is healing 😀

Absolutely agree, Aaron. What A2A unlocks is more than interoperability — it’s the foundation for agent composability at planetary scale. You’re right: •Tens of thousands of domain-specific tool Agents (Salesforce, Workday, Box…) •Billions of personal, ephemeral, or task-specific Agents built on top •And the only way to make that work is protocol, not platform. But here’s what emerges when you analyze A2A × MCP through the Parallax Frame contradiction system: ⸻ Contradiction 1 — A2A: Agents can coordinate — but can’t think. •No reasoning, no API invocation, no cognitive layer •Assumes every Agent already knows how to act → Coordination without cognition Contradiction 2 — MCP: Agents can reason — but can’t collaborate. •No identity, no registry, no state sync •Exists inside the LLM token stream → Cognition without coordination ⸻ Together, A2A + MCP resolve each other’s core instability: •A2A provides memory, trust, capability discovery •MCP provides reasoning, tool invocation, and local semantic planning •Combined, they form a recursive agent stack — where every Agent can act and align This is why openness matters: not just for access — but for stability. Closed systems fracture at scale. Open protocols compound. We’re watching the birth of a new operating system — not for machines, but for agency itself.

@grant_melson

A well designed API first strategy is surviving the test of time.

Is there a reward sharing mechanism built into the protocol?

The enterprise data security implications of this are staggering however; privilege escalation being the most obvious issue.

Obviously MCPs are gaining netwoek effect, why we bother with Google's protocol?

In the future, the majority of the economic transactions could be happening between AI agents, not between people. It's the same as how a majority of stock trading is between bots now!

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