Ably Launches AI Transport Infrastructure Layer for Seamless Multi-Device Agent Experiences
Key Takeaways
- ▸Ably AI Transport is a drop-in infrastructure layer built for modern AI agent applications requiring multi-device continuity and real-time responsiveness
- ▸The platform supports resumable streaming, multi-device synchronization, and live user steering capabilities without requiring architectural redesigns
- ▸Early customers include Meta (for Messenger and Fin) and HubSpot, validating the platform's production-readiness and reliability
Summary
Ably has introduced Ably AI Transport, a new infrastructure layer designed specifically for AI agents and conversational experiences. The platform provides durable, steerable, and multi-device capabilities without requiring developers to rebuild their entire stack. Key features include resumable streaming across device reloads and network failures, real-time synchronization across multiple devices and tabs, live steering and interrupt capabilities, and support for multi-agent collaboration with full context preservation.
Unlike traditional HTTP streaming approaches that struggle with long-running, stateful AI interactions, Ably AI Transport uses a global WebSocket network to deliver ordered, bi-directional, low-latency state management. The platform enables continuous conversations with visible agent progress, tool-calling integration, and seamless human takeover capabilities. Early adoption includes integration with Meta's Messenger and Fin products, as well as deployment in HubSpot's AI assistant, where it provides reliable, low-latency performance for production AI experiences.
- The solution addresses fundamental limitations of HTTP streaming for stateful, long-running AI interactions by leveraging WebSocket-based real-time transport
Editorial Opinion
Ably AI Transport addresses a genuine infrastructure gap in the AI agent ecosystem—the challenge of delivering seamless, multi-device experiences without significant engineering overhead. As AI applications grow more sophisticated and stateful, traditional request-response patterns become increasingly inadequate. This product hits the market at the right moment when enterprises are building serious conversational AI products and need reliable, low-latency transport layers. However, adoption will likely depend on how effectively Ably can integrate with diverse AI stacks and frameworks that are still rapidly evolving.



