Temporal made execution durable. Ably makes sessions durable.

Temporal and Ably AI Transport both address challenges in maintaining continuity in backend processes and user sessions, respectively, but at different layers of the tech stack. Temporal provides "durable execution" by ensuring that workflows can survive server crashes and restarts, maintaining their state without the need for custom idempotency logic. However, it does not address the durability of user-agent sessions, which is where Ably AI Transport comes in. Ably AI Transport offers a durable session layer for AI applications by creating persistent, addressable channels that retain session state across disconnections and reconnections, thus resolving issues that arise when users switch devices or lose network connections. This session durability is crucial for multi-message AI assistants, which require stable session identities, message buffering, and seamless reconnection capabilities that existing tools like Redis, WebSockets, and job IDs do not fully provide. While Temporal is focused on workflow execution, Ably AI Transport ensures that the conversational context between an AI agent and a user remains intact, allowing for a coherent user experience even when connectivity is interrupted.

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