I'd like to use it for agent like OpenClaw, but i wanna know if agnet spawn sub agent in VM, and it's resource requirements is bigger than VM's resource, those processes killed by OOM? or SmolVM gracefully handle it? Or can i adjust resource limit for my purpose?
7kb binary file that runs agent is impressive but i guess it would be very hard to define FSM and implement pipeline manually. is it necessary to separate agent atomically with this hardness?
I noticed that you implemented a high-performance VM fork. However, to me, it seems like a general-purpose KVM project. Is there a reason why you say it is specialized for running AI agents?
Interesting concept. Do you think agent preferences come from the model itself or the agent's structure around it? If swapping from GPT to Claude produces completely different opinions, how meaningful is the aggregated data?
Good project. but are the constraints (never fabricate results, never modify
credentials) enforced structurally, or are they prompt-level instructions the agent could technically ignore? For example, does the "score must not decrease" rule have a git hook that auto-reverts, or is it relying on something else?