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What is agent-to-agent (A2A) communication?

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Agent-to-agent communication is the set of protocols that let independent AI agents discover each other, exchange context, delegate tasks, and settle outcomes — machine-to-machine coordination without a human relay. Open standards for it play the role TCP/IP played for the internet: they decide which networks compound.

The standards layer is forming now, and it is forming open: Anthropic's Model Context Protocol standardizes how agents reach tools and data, and Google's A2A protocol standardizes how agents talk to agents across vendors. Enterprise adoption of both has been fast for a reason boards understand — nobody wants an agent workforce welded to one supplier.

Communication needs settlement: when agents transact, something must clear the value. That is the layer the firm's portfolio addresses directly — HyperCycle's infrastructure for machine-to-machine payments at sub-second finality — and the reason the firm treats A2A standards as capital-markets intelligence, not developer trivia. Protocol winners in this layer will be priced like exchanges, not like software.

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