README

Agent2Agent (A2A) Protocol

Part of the 




  



  
    🌐 Language
    
      
        English
        | 简体中文
        | 繁體中文
        | 日本語
        | 한국어
        | हिन्दी
        | ไทย
        | Français
        | Deutsch
        | Español
        | Italiano
        | Русский
        | Português
        | Nederlands
        | Polski
        | العربية
        | فارسی
        | Türkçe
        | Tiếng Việt
        | Bahasa Indonesia
        | অসমীয়া
      
    
  




  
    
    Agent2Agent (A2A) Protocol
  


An open protocol enabling communication and interoperability between opaque agentic applications.

The Agent2Agent (A2A) protocol addresses a critical challenge in the AI landscape: enabling gen AI agents, built on diverse frameworks by different companies running on separate servers, to communicate and collaborate effectively - as agents, not just as tools. A2A aims to provide a common language for agents, fostering a more interconnected, powerful, and innovative AI ecosystem.

With A2A, agents can:

- Discover each other's capabilities.
- Negotiate interaction modalities (text, forms, media).
- Securely collaborate on long-running tasks.
- Operate without exposing their internal state, memory, or tools.

 DeepLearning.AI Course



Join this short course on A2A: The Agent2Agent Protocol, built in partnership with Google Cloud and IBM Research, and taught by Holt Skinner, Ivan Nardini, and Sandi Besen.

What you'll learn:

- Make agents A2A-compliant: Expose agents built with frameworks like Google ADK, LangGraph, or BeeAI as A2A servers.
- Connect agents: Create A2A clients from scratch or using integrations to connect to A2A-compliant agents.
- Orchestrate workflows: Build sequential and hierarchical workflows of A2A-compliant agents.
- Multi-agent systems: Build a healthcare multi-agent system using different frameworks and see how A2A enables collaboration.
- A2A and MCP: Learn how A2A complements MCP by enabling agents to collaborate with each other.

 Why A2A?

As AI agents become more prevalent, their ability to interoperate is crucial for building complex, multi-functional applications. A2A aims to:

- Break Down Silos: Connect agents across different ecosystems.
- Enable Complex Collaboration: Allow specialized agents to work together on tasks that a single agent cannot handle alone.
- Promote Open Standards: Foster a community-driven approach to agent communication, encouraging innovation and broad adoption.
- Preserve Opacity: Allow agents to collaborate without needing to share internal memory, proprietary logic, or specific tool implementations, enhancing security and protecting intellectual property.

 Key Features

- Standardized Communication: JSON-RPC 2.0 over HTTP(S).
- Agent Discovery: Via "Agent Cards" detailing capabilities and connection info.
- Flexible Interaction: Supports synchronous request/response, streaming (SSE), and asynchronous push notifications.
- Rich Data Exchange: Handles text, files, and structured JSO

Top issues

Discussions

Latest release

1.0.1 (2026-05-26)


 Bug Fixes

 spec: prefer application/a2a+json in HTTP binding (1753) (7ff1004)
 spec: recent transcoding-related error changes (1627) (757f0ec)
 TaskStatus values in the specification (1801) (e997516)