Why AI agents need a durable session layer - and why HTTP isn't enough

AI Transport, developed by Ably, is a durable session layer designed to enhance agent-to-human communication by addressing the limitations of HTTP's request-response model in scenarios where AI agents operate for extended periods. Unlike traditional HTTP, which struggles with connection reliability, bidirectional communication, and state synchronization, AI Transport uses a pub/sub model to decouple agents from clients, allowing for session continuity even when connections drop or devices switch. By inserting a durable session between the agent and user, AI Transport manages connection recovery, enables real-time bidirectional communication, and maintains state continuity independently of backend activities. This approach ensures that both agents and clients can disconnect and reconnect without losing session data, facilitating multi-agent coordination and eliminating the need for custom buffers. AI Transport is designed to integrate seamlessly into existing architectures with minimal code changes, making it a promising addition to the AI agent stack alongside durable memory and execution. While it focuses on human-agent interactions, backend agent-to-agent coordination remains outside its scope, marking a clear boundary for its application.

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