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NVIDIA OpenShell

Ativo

NVIDIA's open-source runtime that sandboxes autonomous AI agents under enforced policy

Condicional

OpenShell is NVIDIA's free, Apache-2.0 runtime that sandboxes autonomous agents with kernel-level file, syscall and network policy, injects credentials only for approved endpoints, and checks policy changes before you approve them. Conditional because it is at 0.1.x, Windows runs through WSL 2 and is marked experimental, and anonymous telemetry is on by default. Right for teams that want to trial policy-enforced agent isolation on Linux or Apple Silicon; we have not tested it.

Com IA

Isolation runtime that hosts third-party agents under enforced policy; the pages read describe no model loop of its own.

É adequada para ti?

Bom para

  • Bounding what an agent can touch: kernel-level controls restrict file access, system calls and network connections per declared policy
  • Keeping real credentials away from the agent: they are added only to requests bound for approved endpoints
  • Reviewing permission changes: policy changes are verified to flag risky new access before approval, with human review for sensitive ones
  • Running many sandboxes under one control plane: gateways manage sandboxes and policies, with Helm deployment on Kubernetes and SDKs for Python, TypeScript, Go and Rust

Não recomendado para

  • A production dependency today: the project is at 0.1.x, with v0.1.0 published on GitHub on September 25, 2026
  • Windows-first teams: Windows is supported through WSL 2 and marked experimental
  • Environments that cannot allow telemetry: anonymous operational telemetry is on by default and must be turned off with an environment variable
  • A ready-to-run agent: the default sandbox image is a minimal Ubuntu with no agent in it

A nossa experiência

We haven't tested NVIDIA OpenShell ourselves. This profile is based on public documentation, user reviews, and community feedback.

Preços

Código aberto
Open source$0
  • Apache License 2.0
  • Self-hosted via install script or Helm on Kubernetes
  • No paid tier on the pages we read
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Como avaliamos

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