Pratham 🏄♂️ (fhe/acc)
@pratham
🧠💥 WTF is Agent2Agent? Google just dropped a protocol that could turn AI agents into legit teams. And no one’s really talking about it. Here’s what A2A is—and why it might be a huge deal. 🧵👇
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Pratham 🏄♂️ (fhe/acc)
@pratham
Right now, AI agents are siloed. You’ve got smart agents for ops, finance, marketing—but they don’t talk to each other. Different vendors. Different systems. No interoperability. That’s the problem. Agent2Agent (A2A) is the fix.
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Pratham 🏄♂️ (fhe/acc)
@pratham
A2A is an open-source protocol launched by Google that lets AI agents: ✅ Talk to each other (across vendors) ✅ Share what they can do ✅ Coordinate tasks ✅ Work together in real time Think: API for agent teamwork 🤝
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Pratham 🏄♂️ (fhe/acc)
@pratham
How it works: 🪪 Agents declare skills via “Agent Cards” 🔁 Tasks are dynamically assigned 🧠 Supports text, forms, even multimedia All of it using standard stuff—HTTP, JSON—so it’s easy to integrate.
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Pratham 🏄♂️ (fhe/acc)
@pratham
50+ big names are already in: 🚀 Salesforce 📦 SAP 🧠 LangChain 📊 Deloitte 👀 (+ AWS rumored?) …and more. Google’s not building this alone. This isn’t a toy—it’s an enterprise-grade protocol built for real workflows.
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Pratham 🏄♂️ (fhe/acc)
@pratham
But here’s the twist... A2A isn’t trying to replace Anthropic’s Model Context Protocol (MCP). Solo smarts + team play = unstoppable. In fact, they work perfectly together.
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Pratham 🏄♂️ (fhe/acc)
@pratham
🔍 Quick compare: • MCP = gives individual agents tools & context (APIs, databases, search) • A2A = lets multiple agents communicate & coordinate across systems. It’s personal intelligence vs. group collaboration.
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Pratham 🏄♂️ (fhe/acc)
@pratham
Together? You get autonomous agents with tools + agents that collaborate intelligently. Example: Agent 1 grabs market trends (MCP). Agent 2 drafts a compliance doc (A2A). Agent 3 pitches a campaign. SAP says this cut task handoffs by 30%. Insane.
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