A2A: what it is, what problem it solves & why it's gaining traction

What it solves

Agent2Agent (A2A) is an open protocol designed to enable communication and interoperability between AI agents built on different frameworks (such as Google ADK, LangGraph, or BeeAI) and running on separate servers. It prevents agents from being siloed, allowing them to collaborate on complex tasks without needing to share their internal memory, proprietary logic, or specific tool implementations.

How it works

A2A provides a common language for agents to interact using JSON-RPC 2.0 over HTTP(S). It utilizes "Agent Cards" for discovery, allowing agents to find and understand each other's capabilities. The protocol supports multiple interaction modalities, including synchronous request/response, streaming (SSE), and asynchronous push notifications, and can exchange text, files, and structured JSON data.

Who it’s for

Developers building AI agents and companies creating agentic applications who want their agents to be able to discover and collaborate with other agents across different ecosystems and frameworks.

Highlights

• Standardized Communication: Uses JSON-RPC 2.0 over HTTP(S) for consistent interaction.
• Agent Discovery: Employs Agent Cards to detail capabilities and connection information.
• Opacity Preservation: Enables collaboration without exposing internal state, memory, or tools.
• Multi-Framework Support: Compatible with SDKs for Python, Go, JS, DeepLearning.AI course integration, and others.
• Enterprise-Ready: Built with a focus on security, authentication, and observability.