Google's A2A Protocol Makes Multi-Agent AI 10x FASTER!

Google just released the A2A (Agent-to-Agent) protocol — a powerful standard that lets AI agents talk to each other.

In this video, I’ll break down exactly what A2A is, how it works behind the scenes, how it compares to MCP (Model Context Protocol), and walk you through a working code demo using Google’s official GitHub repo.

Whether you're building with LangChain, CrewAI, or exploring multi-agent workflows, understanding A2A is essential.

🧠 Topics covered:

- What is A2A Protocol?

- A2A vs MCP (Tool vs Agent Communication)

- Agent Cards, Tasks, and Event Streaming

- Real-time Agent Demo using Python + LangChain

(0:00) Intro – Why A2A Protocol Matters

(0:29) What Is A2A Protocol?

(0:55) A2A Example Use Case

(1:47) A2A Core Concepts

(3:08) How A2A Works (Step-by-Step)

(4:12) A2A vs MCP

(4:49) A2A Code Demo with LangChain

(8:28) Final Thoughts on A2A + Agents

💬 Drop a comment if you’re experimenting with agent stacks or need help setting up!

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