Persistent Agents

Persistent VMs retain loaded data and connections that serverless must rebuild on each invocation.

Serverless resource caps make certain agent capabilities impossible to build.

Agents fail at long tasks because systems don't preserve state between steps.

Keeping browser sessions alive between agent runs is what separates real work from restarts.

Persisting all four layers of agent state prevents silent failures when production systems restart.

Wakeup latency is a structural requirement, not a performance tuning detail.

Agents need memory systems that track truth and relationships, not just retrieve similarity.

Anthropic reveals how file system design fixes the memory crisis that derails long-running agents.

Where memory lives between requests determines whether an agent can handle multi-step work.