Chapter 14¶
The Social Brain of Agents: Inter-Agent Communication (A2A)¶
Interactive Graph (beta)¶
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Human intelligence is amplified through social exchange; agent intelligence scales through Inter‑Agent Communication (A2A). A2A is the protocol for meaning exchange, delegation, and collective intelligence across agents.
Neuroscience Analogy¶
- Neurons: Specialized units; intelligence from interaction.
- Humans: Societies achieve what individuals cannot.
- Agents: Specialists (retrieval, reasoning, planning, visualization) coordinate via structured messages.
Core Concepts¶
- Agent Card = identity and capabilities.
- Discovery = find collaborators via registries/URIs.
- Communication = messages with attributes and parts; task lifecycle (submitted → working → completed).
- Interaction Modes = sync, async polling, streaming (SSE), push (webhooks).
- Security = authentication, encryption, audit.
A2A vs MCP¶
- MCP: One agent ↔ tools (sensory/motor interfaces).
- A2A: Many agents ↔ each other (social exchange).
Applications¶
Multi‑framework collaboration, automated workflow orchestration, dynamic information retrieval (scout ↔ analyst ↔ executor), and enterprise data coordination.
Conclusion¶
A2A turns isolated agents into a cognitive society — enabling communication, coordination, and delegation across diverse frameworks.