nemoclaw-user-overview

Sandboxed OpenClaw operations inside OpenShell work by enforcing layered network, filesystem, process, and inference routing guardrails to safely run always-on assistants. This prevents unauthorized egress and access within a hardened environment.

To set up a sandboxed OpenClaw workspace, run the guided onboarding command to validate credentials, select providers, and create a working sandbox. This process requires a versioned blueprint, provider configuration, and policy definitions.

Yes, you need a versioned blueprint with digest verification, provider configuration, and declarative policy definitions to deploy always-on assistants on NemoClaw. These components enforce safety boundaries and ensure repeatable lifecycle management.

The best way to manage lifecycle and state for remote GPU deployments is using a hardened sandbox with safe migration of agent state across machines and routed inference through a gateway, ensuring reliable always-on operation.

NemoClaw is better for sandboxed testing than direct OpenShell OpenClaw setups because it provides guided onboarding, declarative policies, and layered filesystem and inference controls that direct setups lack.

Inference routing matters for always-on AI assistants because it channels requests through a gateway, ensuring safe migration of agent state across machines and maintaining strict network and filesystem guardrails during operation.