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What do NOOA and OpenShell each do?
NOOA structures how you build an agent
NVIDIA Object-Oriented Agents (NOOA) is a model-agnostic Python framework. An agent is represented as a Python object: methods describe actions the model can take, fields hold state, docstrings serve as prompts, and type annotations express contracts. A method left as an ellipsis can be completed by an LLM-driven agent loop, while ordinary method bodies can remain deterministic Python. This is a programming model, not a sandbox or a security boundary. Read the NOOA paper.
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OpenShell governs execution
OpenShell supplies a runtime and policy boundary around an agent. NVIDIA’s architecture documentation describes isolated sandboxes with kernel-level controls for files and system calls, plus mediated network access. The distinction matters: using NOOA does not itself restrict the code an agent can run, the files it can reach, or the network destinations it can contact. Those limits must come from the execution environment and its policy. OpenShell architecture.
How does OpenShell enforce its boundary?
OpenShell separates the untrusted sandbox, where the agent runs, from the trusted supervisor and gateway. The agent and sandbox do not make policy decisions. The supervisor checks requests, resolves DNS, opens permitted connections, supplies credentials authorized for those connections, and maintains a link to the gateway. An outer network fence is intended to prevent the workload from bypassing that mediation with direct egress.
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The gateway is the control plane for sandbox lifecycle, policy, settings, providers, and operator access. NVIDIA documents a fail-closed launch sequence: the supervisor confirms the boundary before the agent starts, and a lost supervisor connection freezes the agent. These are documented design and implementation claims, not proof that every deployment is immune to escape or data exfiltration.
Documented backend patterns include Docker and Podman with workload networking disabled and an authenticated Unix socket to the supervisor; Kubernetes with a NetworkPolicy that permits access only to the supervisor service; and a VM with an authenticated vsock channel and no guest network device. Check the architecture documentation for the release-specific capability matrix and confirm support for the environment you plan to use.
What should an OpenShell policy restrict?
Network destinations and executable identity
NVIDIA’s current security guide says outbound egress is denied by default unless a destination is allowed in network_policies. Treat every allowed destination as a potential path for workspace data, credentials, or conversation history to leave the sandbox. Allow only destinations required for the task. Policy entries require a binaries list; scope it to specific executable paths rather than broad globs that could undermine binary-scoped authorization. OpenShell Security Best Practices.
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Hostnames are not complete API authorization
A destination-only rule may permit any method and path when no request rules are configured. Where supported, use protocol-aware inspection and explicit method, path, or operation rules. A hostname allowlist alone should not be treated as authorization for only the API actions an agent needs.
Audit mode does not block violations
The documented default for Layer 7 rules is audit: violations are logged but traffic is still forwarded. Validate the rules and inspect audit events, then use enforce when violations are meant to be blocked. Do not mistake a clean audit log for enforcement.
Filesystem and process restrictions
OpenShell documents Landlock filesystem restrictions, non-root execution, and seccomp filtering. Its documented default filesystem policy makes common system paths read-only while the resolved working directory and /tmp are writable. Some configured filesystem restrictions can use best_effort compatibility behavior; select hard_requirement when every configured restriction must apply, and investigate high-severity findings.
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Filesystem and process controls are static for a sandbox instance. Changing them requires destroying and recreating the sandbox, so decide these restrictions before creating it and plan how to preserve or restore any necessary work during recreation.
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Keep provider secrets in provider records rather than workload environment configuration, and attach a provider only to sandboxes that need it. The documented design gives the agent a placeholder and binds credential use to policy-authorized endpoints, rather than handing the secret directly to the agent. Review operator approval requests individually: an approved endpoint persists in that sandbox instance and widens its policy. Use explicit, narrow rules for access that must recur.
Which deployment path fits the environment?
These are different ways to provide the isolation and supervisor channel; they do not imply equal prerequisites, workload compatibility, or operational effort. Compare them against the actual host, network, identity, and workload requirements.
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| Path | Documented boundary pattern | Deployment questions |
|---|---|---|
| Docker or Podman | Workload networking disabled; authenticated Unix socket to the supervisor. | Can the host runtime and socket permissions be managed so the workload cannot bypass the supervisor? |
| Kubernetes | NetworkPolicy allows communication only with the supervisor service. | Can the cluster enforce that network boundary and provide the required shared-gateway authentication? |
| VM | Authenticated vsock channel; no guest network device. | Does the virtualization setup support the required channel and workload, and can the team operate the VM boundary? |
The backend patterns above are described in NVIDIA’s architecture documentation. Runtime support and feature details can vary. The security guide recommends OIDC or a trusted access proxy for Kubernetes or shared-gateway authentication. It also describes Kubernetes user namespaces as optional defense-in-depth with platform prerequisites and flags GPU compatibility as unverified; test GPU workloads separately before enabling that feature. See the security guide.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What does setup create—and what does it not create?
At the documentation access point for this guide, NVIDIA’s “Latest” OpenShell documentation was labeled v0.1.2. That release label is time-sensitive; check the current guide, support information, and upgrade notes before deployment. OpenShell Developer Guide.
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1Fix the driver behind crashes, sound loss and screen glitches2Repair Windows errors before they cause bigger problems3Scan for outdated or missing drivers - takes under a minute- Check platform and runtime support. NVIDIA’s repository lists Linux, macOS on Apple Silicon, and Windows through WSL 2 on an experimental basis. Docker, Podman, or host virtualization is listed as a runtime requirement. Confirm the current requirements for the version and backend you intend to use. OpenShell repository.
- Install using the instructions for that platform. The documented guide provides an installer; use its current platform-specific steps rather than assuming one command works everywhere.
- Create the sandbox. The guide shows
openshell sandbox create. Creation alone does not launch a configured coding agent: the default sandbox image is minimal Ubuntu and does not include an agent. - Configure the agent workflow. Follow the developer guide’s fuller workflow for the image, provider, and policy configuration your task needs. Do not grant a provider or network access merely because the sandbox exists.
- Verify the boundary before relying on it. Test the specific runtime’s controls and policy behavior, including both permitted and denied actions, before connecting sensitive workspaces or credentials.
OpenShell was described as an early preview in NVIDIA material dated March 23, 2026. That is a historical launch-era description, not the best indicator of the current v0.1.x documentation status. Check current documentation and repository upgrade information for changes relevant to the release you deploy. The historical post is available at NVIDIA’s March 2026 announcement.
What must a team verify before calling a deployment production-ready?
The official documentation describes meaningful controls, including kernel-level file and process constraints, mediated network access, endpoint-bound credential handling, policy verification, audit records, and multiple deployment backends. It does not establish independent certification or prove universal suitability for production, regulated workloads, or every threat model. Treat production readiness as a deployment-specific security decision, not a property guaranteed by the product name.
- Define the threat model. Identify what the agent may execute, what data it can access, which credentials it needs, and which escape or exfiltration risks the deployment must address.
- Pin and review the deployment inputs. Record the OpenShell version, images, backend, and policy. Review release and upgrade changes before applying them to an existing environment.
- Test both sides of each rule. Confirm allowed operations work and prohibited file, process, and network actions are actually blocked—not merely logged in audit mode.
- Review the control plane. Protect gateway access, provider records, operator approvals, and audit events with controls appropriate to the deployment.
- Validate the exact workload and host. Test the chosen runtime, network boundary, identity setup, and workload together; do not assume results transfer between Docker, Podman, Kubernetes, and VM deployments.
- Obtain a security review. Have qualified reviewers assess the specific host, runtime, network, policy, and data sensitivity before relying on the sandbox for consequential work.
These checks are especially important because policy verification can flag risky proposed grants, such as a newly credentialed host or API method, but a finding still requires human review. A sandbox is only as restrictive as the policy and boundary the deployment actually enforces. For configuration guidance, consult NVIDIA’s security best practices and architecture documentation.
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