How do I make long-running agent workflows reliable?
#The question
When someone asks "How do I make long-running agent workflows reliable?", they want a repeatable path from definition to running system. Swirls gives you one: .swirls files describe the system, and git push or swirls deploy ships it to Swirls Cloud.
#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
What SQL is to data and Terraform is to infrastructure, Swirls is to agents. A declarative DSL, not another framework. Your agents, tools, triggers, schedules, and secrets are described across .swirls files, deployed with git push or swirls deploy, and run by Swirls Cloud.