Google's A2A Protocol Enables Interoperability Between AI Agents Across Different Frameworks
By
Prakshal Doshi
Summary
This article examines the problem of custom "glue code" required when AI agents built with different frameworks (e.g., LangGraph, Pydantic AI) need to communicate and hand off tasks to one another. It introduces Google's A2A (Agent-to-Agent) protocol as a solution that enables interoperability between agents from different teams and frameworks without bespoke integration work. The article explains how A2A complements MCP (Model Context Protocol), discusses when to adopt it, and analyzes the engineering overhead that multi-agent architectures currently face.
Source
bskyGoogle's A2A Protocol Enables Interoperability Between AI Agents Across Different Frameworkshackernoon.comKey quotes
· 4 pulledThe 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 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 [core work].
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