Google Agent2Agent (A2A) - A first look at an Internet of Agents

🚀 Agent to Agent (A2A) with SelectorPlus + LangGraph + MCP 🌐

🔥 Powered by Google’s brand-new A2A Protocol — released just 6 days ago!

In this video, I showcase what may be one of the very first real-world implementations of the Agent-to-Agent (A2A) protocol using Model Context Protocol (MCP) with SelectorPlus + LangGraph.

🧠 Think of this like the OSI model — but for AI Agents:

MCP is Layer 2 – it defines how an agent talks to tools (local actions, skills, plugins).

A2A is Layer 3 – it defines how agents talk to other agents, across machines, clouds, and geographies.

🌐 Imagine a spiderweb of agents:

Each agent connected to dozens or hundreds of tools via MCP

Now imagine those agents connecting to hundreds, thousands, or even millions of other agents using A2A

This forms a Hyperweb of AI — decentralized, discoverable, and interoperable

✅ My SelectorPlus LangGraph agent is now A2A-capable
✅ Hosted on a public IP, fully internet-accessible
✅ Chatted live using Google’s official CLI sample
✅ Built with LangGraph, FastAPI, and the Model Context Protocol

📡 From agent discovery to conversation over the open web, this demo shows the future of AI interoperability in motion.

🧠 Powered by: SelectorPlus + LangGraph + MCP

👉 If this glimpse of the Agent Internet excites you:

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#A2A #MCP #LangGraph #AgentToAgent #OpenAgents #SelectorAI #ModelContextProtocol #AgentInternet #AIInterop #Hyperweb #FutureOfAI

[Lory-xb]

Awesome! Yes I would appreciate a step by step guide on how to set all this up so I can test it myself. (I don't know if a GPU is required)