Exploring Google Cloud Next 2025: Unveiling the Agent-to-Agent Protocol

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Today at Google Cloud Next 2025, the team from Sam Witteveen delved into the world of agents, not the kind from a spy movie, but the digital kind that are all the rage now. They strolled through the expo with Prompt Engineering, only to find themselves a bit underwhelmed by the agent demos on display. Instead of mind-blowing innovations, they encountered what can only be described as basic workflows masquerading as cutting-edge agents. It was like expecting a Ferrari and getting a Fiat Panda.
The main star of the show was Google's new agent-to-agent protocol, a fancy way for these digital beings to chat and collaborate. This protocol, using standards like HTTP and JSON RPC, aims to create a seamless environment where agents can find each other, negotiate tasks, and exchange information. It's like a digital networking event for agents, complete with their own business cards. Google even provides tools like sample agents and an agent development kit to get the party started.
While Google is keen on this new protocol and has roped in 50 technology partners to join the fun, there's a notable absence that raises eyebrows - Anthropic. Without this key player on board, there's a risk of ending up in a tech mess akin to a roundabout with conflicting protocols. The hope is that Google can steer this ship in the right direction before it veers off course. Feedback is encouraged, as Google aims to fine-tune this agent-to-agent protocol and avoid a tech disaster waiting to happen.

Image copyright Youtube

Image copyright Youtube

Image copyright Youtube

Image copyright Youtube
Watch Google's NEW Agent2Agent Protocol on Youtube
Viewer Reactions for Google's NEW Agent2Agent Protocol
Sam's explanation on workflows and agents
Mention of MCP as a tool calling functions
Langgraph's handover protocol
Langchain integration in 2025
AGNTCY protocol for agents
Concerns about different competitor protocols emerging
Discussion on frameworks enabling true AGI
Speculation on Anthropic and Google's relationship
Monetization aspect and A2A economy
Comparison to Apple's Vision Pro and preference for local AI assistant
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