How AI Agents Talk to Each Other: Agent-to-Agent (A2A) Explained

Agent-to-Agent Protocol (A2A) is solving the biggest problem in AI right now: making autonomous agents work together. In this deep dive, we build up from first principles to understand what AI agents are, why they can't communicate today, and how A2A creates a universal language for agent collaboration.

🎯 What You'll Learn:
What an AI agent actually is
Why monolithic fail at scale
How A2A Agent Cards enable dynamic discovery
Task lifecycle and stateful communication
Real-time streaming with Server-Sent Events

📚 Key Concepts Covered:
Agent architecture (Memory + LLM + Tools)
Multi-agent systems and microservices pattern
Agent Cards and capability discovery
Task objects and state machines
Real implementation with code examples

00:00 - Intro to Agentic AI & A2A
00:26 - What is Agentic AI?
02:34 - Monolithic Agent Issues
03:27 - Multi-Agent System Solution
04:10 - Interoperability Crisis & A2A
06:09 - How A2A Works
06:57 - Demo Use Case
07:26 - Codebase Walkthrough
13:09 - Running the Local Demo
14:53 - Facial Recognition Demo
17:35 - Key Takeaways

🎓 Perfect for:
AI/ML Engineers building agent systems
Software Architects designing distributed AI
Product Managers working with AI products

Github: Check iRahulPandey

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