• Introducing A2H: A Protocol for Agent-to-Human Communication Time to read: As AI agents become more capable and autonomous, they need a standardized way to loop humans into the conversation. • Whether it’s requesting approval for a payment, collecting shipping information, or escalating a complex issue to support, agents need to communicate with the people they serve. • Today, we’re excited to introduce A2H (Agent-to-Human), an open source protocol specification that provides a single, channel-agnostic, auditable surface for agents to communicate with their human principals. • The missing piece in the agent ecosystem The AI agent landscape is evolving rapidly. • We’ve seen protocols emerge for different parts of the stack: - MCP (Model Context Protocol) for tools and context - A2A (Agent-to-Agent) for inter-agent communication - ACP (Agentic Commerce Protocol) for commerce flows - AP2 (Agent Payments Protocol) for extensible payment mandates But there’s been a gap: how do agents communicate with humans? • When an agent needs approval, needs to collect information, or needs to hand off to a human operator, what’s the standard interface?

Article Summaries:

  • Introducing A2H: A Protocol for Agent-to-Human Communication Time to read: As AI agents become more capable and autonomous, they need a standardized way to loop humans into the conversation. Whether it’s requesting approval for a payment, collecting shipping information, or escalating a complex issue to support, agents need to communicate with the people they serve. Today, we’re excited to introduce A2H (Agent-to-Human), an open source protocol specification that provides a single, channel-agnostic, auditable surface for agents to communicate with their human principals. The missing piece in t

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