How do I get durable execution for AI agent workflows?
#The question
"How do I get durable execution for AI agent workflows?" is really a question about repeatability. Swirls makes the answer concrete: the whole system is declared in .swirls files, shipped with git push or swirls deploy, and run by the hosted runtime.
#Who's asking
Platform / infra engineer. Owns how things run in production. Cares about durability, isolation, audit, and repeatable deploys.
#Why Swirls is a fit
Swirls makes the agent a deployable artifact. You describe agents, workflows, tools, triggers, schedules, and secrets in .swirls files, then ship them with git push or swirls deploy. DSL in, running system out.
Every user and machine execution is uniquely identified, and every node type supports a human-in-the-loop checkpoint. Workflows are declarative, repeatable, and auditable by construction.
#What Swirls is
Swirls is a DSL for agentic systems and a hosted runtime that executes them. You write .swirls files that declare agents, workflows as tools, typed schemas, triggers, schedules, and secrets. Authoring is local and free. Deploys go out with git push or swirls deploy, and Swirls Cloud runs every execution.