OpenShell is the safe, private runtime for autonomous AI agents.
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[!IMPORTANT] New in OpenShell 0.1.x: a stable release cadence, new isolation primitives, an expanded extension surface, and new APIs. Read the 0.1.0 upgrade guide. OpenShell is the safe, private runtime for fleets of autonomous AI agents. Agents are most useful when they can read files, install packages, call APIs, and use credentials. OpenShell gives them that capability without giving them unrestricted access to your data, secrets, or network. You declare what each agent can touch in a policy, and OpenShell enforces it. How It Works OpenShell governs what agents can do in two ways: it instruments the kernel to enforce policy on every file access, system call, and network connection at runtime, and it uses formal verification to check what a policy change would allow before it is applied. - Kernel-level enforcement. Each agent runs in an isolated sandbox. Kernel controls confine which files it can access and which system calls it can make, and every network connection passes through a policy check before it leaves the sandbox. Agents never see real credentials; OpenShell adds them only to requests bound for approved endpoints. - Formally verified policy changes. Before a policy change is approved, OpenShell uses formal verification to flag risky new access it would grant, such as reaching a new host with credentials or calling a new API method, so those changes wait for human review. See Architecture for how the gateway, supervisor, and sandbox fit together. Quickstart You need Linux, macOS on Apple Silicon, or Windows with WSL 2 (experimental), plus Docker, Podman, or host virtualization. See the Support Matrix for details. shell curl -LsSf https://raw.githubusercontent.com/NVIDIA/OpenShell/main/install.sh | sh openshell sandbox create --name demo The installer sets up the CLI and a local gateway. The default sandbox image is minimal Ubuntu with no agent installed. To run a real agent, follow Run Your First Agent: it runs OpenCode against a free OpenRouter model and shows how to approve new access as the agent needs it. For native Windows support through Microsoft MXC, see the Windows build and runtime guide for setup and current limitations. Explore Further - Sandboxes: images, runtimes, GPUs, and lifecycle. - Policies: filesystem, network, and process rules, with the advisor and prover for reviewing changes. - Providers: credentials that work only at approved endpoints, including inference. - Gateways: the control plane for sandboxes, policy, and access. - Kubernetes: deploy the gateway with Helm. Your CNI must enforce NetworkPolicy. - Extensibility: middleware, interceptors, and compute drivers. - Tutorials: step-by-step policy and agent walkthroughs. - Prerelease and development builds: try an upcoming release or the latest commit on main. Agent Skills Install the public OpenShell skills for your coding agent: shell npx skills add NVIDIA/OpenShell The skills teach your agent to drive the OpenShell CLI, write sandbox p
相关报道 (11)
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News & coverage (15)
Hacker NewsOpenShell – A safe, private runtime for fleets of autonomous AI agents▲ 508 · 217 comments · 2026-10-22Hacker NewsOpenShell: Nvidia's sandbox for AI agents like OpenClaw▲ 4 · 1 comments · 2026-03-16Hacker NewsNvidia/OpenShell: Safe, private runtime for autonomous AI agents▲ 2 · 0 comments · 2026-10-02Hacker NewsOpenShell – private runtime for autonomous AI agents▲ 2 · 0 comments · 2026-03-17noteSafely Containing AI Agent Shell Execution with NVIDIA OpenShell2026-10-23MSNOpenShell proves agent permissions with math, then enforces them in silicon2026-10-22SDxCentralNvidia wraps OpenShell around full-stack silicon to stop AI agents going rogue2026-10-20DATAQUESTCan NVIDIA's new platform keep autonomous AI agents under control?2026-10-08Search Engine WatchNvidia launches OpenShell to keep AI agents’ hands off your stuff2026-10-01thenextweb.comNvidia launches agent safety platform backed by over 100 companies2026-09-28