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🚀 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 ✅ Discoverable via /.well-known/agent.json ✅ 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. 🔗 GitHub A2A Repo: https://github.com/google/A2A 🧠 Powered by: SelectorPlus + LangGraph + MCP 👉 If this glimpse of the Agent Internet excites you: 👍 Like 💬 Comment 🔁 Share ✅ Subscribe for more frontier-level AI + automation content. #A2A #MCP #LangGraph #AgentToAgent #OpenAgents #SelectorAI #ModelContextProtocol #AgentInternet #AIInterop #Hyperweb #FutureOfAI