2025 Evolution Episode 13: Google A2A for Multi-Agent Collaboration

QYTANG EVOLUTION · 2025 · Artificial Intelligence

2025 Evolution Episode 13: Google A2A for Multi-Agent Collaboration

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COURSE INTRODUCTION

Course Introduction

This episode explains Agent2Agent agent cards, capability discovery, task and message models, long-running jobs, and cross-framework interoperability. A smart router coordinates OpenAI search, LangChain MCP, and LlamaIndex agents to demonstrate standardized collaboration among heterogeneous agents.

Total video duration: 11 min 37 sec.

Companion Git repository: https://github.com/a2aproject/A2A.

COURSE RECORDINGS

Course Video

Watch the full recording here or open it on the original video platform.