Agent2Agent – A Technical Deep Dive into the Protocol's Core Logic

a year ago

Firecrawl, a Y-Combinator backed startup, is hiring AI Agents for content generation, coding, and customer support roles, offering a monthly salary of $5000.
The Agent2Agent (A2A) protocol, proposed by Google, is an open communication standard enabling interoperability between independent AI agents, treating them as discoverable 'black boxes'.
A2A is designed around a Client-Server model, allowing client agents to access remote agent functionalities without knowing their implementation details.
Core components of A2A include AgentCards (agent business cards), Tasks (work instructions), Artifacts (response content), Messages (conversation tracking), and Push Notifications (async processing).
A2A RPC methods include tasks/send (synchronous processing), tasks/sendSubscribe (streaming), and tasks/get (retrieving task status).
The A2A Memory Layer manages queued messages, status tracking, and result communication, with TaskStore/TaskManager at its core.
A2A implementation involves handlers for different request types and a TaskManager to invoke agent logic and update task statuses.
A comparison between A2A and MCP (another protocol) is teased for a future article.

Hasty Briefsbeta