Ably AI Transport is now available

Ably AI Transport, launched by Faye McClenahan, offers a drop-in realtime delivery and session layer that enhances the continuity of AI experiences across device changes, refreshes, and reconnects without requiring an architecture overhaul. Traditional HTTP streaming methods often falter with stateful AI user experiences, as they fail to maintain continuity amid normal user behaviors like network changes or device switches, leading to issues such as partial outputs and duplicated messages. Ably AI Transport addresses these challenges by providing a durable, bi-directional session layer, allowing agents to publish outputs into a session channel accessible from any device, ensuring ordered delivery, and enabling features like live steering and multi-agent coordination. This model and framework-agnostic solution creates a resilient AI user experience by supporting resumable, ordered token streaming, multi-device continuity, and seamless human takeovers, while also incorporating identity and access control, and observability for diagnosing production issues. Through this innovation, Ably AI Transport allows users to maintain continuous, stateful interactions with AI applications, ensuring that conversations are user-scoped rather than tied to specific connections, thus providing a robust, scalable solution for modern AI-driven environments.