# Agent37

Agent37 launched low-cost sandboxes for running AI agents, with customers spending an average of $0.37 per sandbox per month and free sandboxes costing roughly $0.05 to $0.10 per user per month in infrastructure. The company began as an OpenClaw wrapper and could not afford a free plan until it scheduled CPU and memory around the bursty usage of agent harnesses, rented hosts from Hetzner and OVH instead of hyperscalers, and used gVisor to share host memory across sandboxes rather than reserving a full VM's memory for each. The tradeoff is that gVisor sandboxes do not support workloads such as Docker-in-Docker or Android emulators, and full VM sandboxes remain available at a slightly higher price.

Agent37 launched low-cost sandboxes for running AI agents, with customers spending an average of $0.37 per sandbox per month and free sandboxes costing roughly $0.05 to $0.10 per user per month in infrastructure. The company began as an OpenClaw wrapper and could not afford a free plan until it scheduled CPU and memory around the bursty usage of agent harnesses, rented hosts from Hetzner and OVH instead of hyperscalers, and used gVisor to share host memory across sandboxes rather than reserving a full VM's memory for each. The tradeoff is that gVisor sandboxes do not support workloads such as Docker-in-Docker or Android emulators, and full VM sandboxes remain available at a slightly higher price.