How do I get durable execution for AI agent workflows?

From .swirls source to running servicesruntime services active

Swirls hosts the supported App and runs the declared work behind it.

#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.

User and machine executions carry identity, and workflows can include durable human review checkpoints. Workflows are declarative, repeatable, and auditable by construction.

How do I get durable execution for AI agent workflows?

#The question

#Who's asking

#Why Swirls is a fit

Add the people, data, authority, and decisions around this job.