This is cool; pricing is certainly appealing. At the same time, there are a ton of sandboxing providers.
> When you look at agent harnesses, ... CPU/RAM utilization we could lower the cost.
How does it work today? Is the harness (assuming it means the agentic loop) located in a separate VM and each loop-run invokes a separate sandboxing VM?
That's right each harness runs in it's own sandbox. Really the harness itself is just a docker template with some pre-installed harness (say openclaw, hermes, claude code, opencode, pi, grok etc) that runs.
For convenience and cross-harness unified API we also built open source Gateway API - https://github.com/agent37-platform/gateway
Think of it as open router for Agent harnesses. So in our default templates we also run this and expose the APIs. So that makes using any harness easy as they all speak a single OpenAI responses API schema.