Every hour your engineering team spends writing custom integration code between AI agents is an hour they are not shipping product.

The glue code problem finally has a name and a fix

Right now, getting two AI agents from different vendors to collaborate means writing brittle, one-off connectors that break when either vendor ships an update. There is no standard handshake, no shared task format, and no agreed-upon way to pass results between agents built by different teams.

A2A gives agents a shared language at the protocol level

[AINews] Google’s Agent2Agent Protocol (A2A) defines a structured communication layer where one agent can discover another via an Agent Card, assign it a Task, exchange Messages through a defined channel, and receive a completed Artifact back as output. You do not open a dashboard or paste a prompt. You adopt the spec, implement the endpoints, and your agent becomes interoperable with any other A2A-compliant agent across the entire partner network. The spec ships with enterprise auth, observability guidance, streaming support, and push notification security built in from day one.

Platform engineers are the first ones this unblocks

• Platform engineers building multi-vendor agent pipelines who need a standard interface instead of a custom connector for every new agent they add
• AI product leads at enterprises who need audit trails and auth controls before they can deploy agent-to-agent workflows in regulated environments
• Developers using Google’s Agent Development Kit who want their agents to hand off subtasks to specialized remote agents without rewriting orchestration logic

The timing is not accidental. Anthropic’s Model Context Protocol already set a standard for how agents talk to tools and data sources. A2A is designed to sit alongside MCP, not replace it, covering the agent-to-agent coordination layer that MCP does not address. With over a dozen named launch partners already committed, the window for a competing standard to gain traction is closing fast.

What you can actually build with A2A today

• Route specialized subtasks from an orchestrator agent to domain-specific remote agents automatically
• Receive structured Artifacts from remote agents and pipe them into downstream workflows
• Publish an Agent Card so other A2A-compliant systems can discover and call your agent
• Implement push notifications between agents with security controls the spec defines explicitly

The draft specification and documentation site are public now. Pricing not listed — check our directory.

The multi-agent interoperability race just got a front-runner

The real limitation is adoption speed. A protocol is only as useful as the number of agents that implement it, and right now the ecosystem is days old. If you are evaluating whether to build to this spec or wait, the partner list Google shipped on day one suggests waiting carries its own risk.

If LangChain or CrewAI ship native A2A support in the next 90 days, the interoperability gap between Google-adjacent stacks and everyone else becomes a real architectural decision point.

Agent orchestration is shifting from custom code to open protocols

This is the kind of infrastructure-level shift that rewrites which tools matter and which become redundant inside 18 months. We cover tools like this every Friday — subscribe here and we’ll send the best ones straight to you.