How deeply does Grokking AI Applications cover A2A?

Defines direct communication, task negotiation, and coordination but stops short of implementation details or worked A2A workflows.

A2A

As explained in Grokking AI Applications

The Agent-to-Agent protocol is a standard for direct communication, task negotiation, and coordination between AI agents.

A2A is a standard for agents that need to communicate directly rather than merely call tools. It supports task negotiation and coordination over time. section 8.2

A2A belongs to the broader family of agent orchestration protocols, alongside MCP and ACP. Together, these protocols aim to make GenAI systems more interoperable, portable, and reliable. section 8.0 section 8.2

A2A regulates collaboration between agents through:

Direct message exchange between agents. section 8.2
Negotiation over which tasks agents should perform. section 8.2
Coordination across an ongoing workflow. section 8.2

How Grokking AI Applications covers it

liveBook manning.com

Read Grokking AI Applications on liveBook Get the book at manning.com

Also explained in

liveBook manning.com

Build an AI Agent (From Scratch)The A2A protocol is an HTTP-based open protocol for discovering and coordinating remote AI agents through standardized agent cards, task requests, and responses.

Compare how 2 books explain A2A →

Related concepts

MCPcontrasts with · The Model Context Protocol is an open standard protocol that defines how AI applications connect with external tools, data sources, and other contextual resources.
AI agentuses · An AI agent is a computational system that uses artificial intelligence to interpret information, select actions, and pursue goals through interaction with an environment.
agent cardhas part · An agent card is a machine-readable document that describes an AI agent’s identity, capabilities, and endpoint for discovery and interaction.
agent communicationuses · Agent communication is the exchange of information or messages among software agents to share results or coordinate actions.

This explainer was generated by Manning's knowledge graph from the text of Grokking AI Applications. The section links point to the parts of the book it draws on.