What are persistent sandboxes? (and why AI agents need them)
Blog post from Northflank
Persistent sandboxes offer isolated execution environments that retain their state across sessions, providing a continuous workspace for AI agents and developers, unlike ephemeral sandboxes that reset after each run. This capability is crucial for AI agents that require the ability to resume tasks, maintain state, or execute long-term workflows, as it allows them to continue work without reinitializing their environment each time. The trade-off for using persistent sandboxes includes increased considerations for storage, security, and lifecycle management. Platforms like Northflank support both persistent and ephemeral sandboxes, offering features such as MicroVM-based isolation, rapid environment spin-up, and compliance with SOC 2 Type 2 standards. These platforms allow users to select the appropriate environment type for their specific workload needs, ensuring flexibility and efficiency in AI agent deployments.