GitHub - NVIDIA/OpenShell: OpenShell is the safe, private runtime for autonomous AI agents.
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.
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OpenShell is the safe, private runtime for fleets
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.
OpenShell governs what agents can do in two
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
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
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.
You need Linux, macOS on Apple Silicon, or
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.
The installer sets up the CLI and a
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. 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.
Install the public OpenShell skills for your coding
Install the public OpenShell skills for your coding agent:
The skills teach your agent to drive the
The skills teach your agent to drive the OpenShell CLI, write sandbox policies, and debug gateways and inference routing. They live in skills/ and work without an OpenShell source checkout.
SDKs connect applications to an OpenShell gateway. They
SDKs connect applications to an OpenShell gateway. They do not install the CLI. Use the same OpenShell release for the SDK and the gateway when possible. Questions and discussion: GitHub Discussions Bug reports and feature requests: GitHub Issues, using the issue templates Security vulnerabilities: follow SECURITY.md. Do not open a GitHub issue. Try it in the cloud: Brev Launchable
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GitHub - NVIDIA/OpenShell: OpenShell is the safe, private runtime for autonomous AI agents.
New in OpenShell 0.1.x: a stable release cadence, new isolation primitives, an expanded extension surface, and new APIs.
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Source: GitHub