OpenShell is the safe, private runtime for autonomous AI agents. It provides sandboxed execution environments that protect your data, credentials, and infrastructure — governed by declarative YAML policies that prevent unauthorized file access, data exfiltration, and uncontrolled network activity.

OpenShell is built agent-first. The project ships with agent skills for everything from cluster debugging to policy generation, and we expect contributors to use them.

Alpha software — single-player mode. OpenShell is proof-of-life: one developer, one environment, one gateway. We are building toward multi-tenant enterprise deployments, but the starting point is getting your own environment up and running. Expect rough edges. Bring your agent.

Quickstart

Prerequisites

• Docker — Docker Desktop (or a Docker daemon) must be running.

Install

Binary (recommended):

curl -LsSf https://raw.githubusercontent.com/NVIDIA/OpenShell/main/install.sh | sh

From PyPI (requires uv):

uv tool install -U openshell

Both methods install the latest stable release by default. To install a specific version, set OPENSHELL_VERSION (binary) or pin the version with uv tool install openshell==<version>. A dev release is also available that tracks the latest commit on main.

Create a sandbox

openshell sandbox create -- claude  # or opencode, codex, copilot

A gateway is created automatically on first use. To deploy on a remote host instead, pass --remote user@host to the create command.

The sandbox container includes the following tools by default:

For more details see https://github.com/NVIDIA/OpenShell-Community/tree/main/sandboxes/base.

See network policy in action

Every sandbox starts with minimal outbound access. You open additional access with a short YAML policy that the proxy enforces at the HTTP method and path level, without restarting anything.

# 1. Create a sandbox (starts with minimal outbound access)
openshell sandbox create

# 2. Inside the sandbox — blocked
sandbox$ curl -sS https://api.github.com/zen
curl: (56) Received HTTP code 403 from proxy after CONNECT

# 3. Back on the host — apply a read-only GitHub API policy
sandbox$ exit
openshell policy set demo --policy examples/sandbox-policy-quickstart/policy.yaml --wait

# 4. Reconnect — GET allowed, POST blocked by L7
openshell sandbox connect demo
sandbox$ curl -sS https://api.github.com/zen
Anything added dilutes everything else.

sandbox$ curl -sS -X POST https://api.github.com/repos/octocat/hello-world/issues -d '{"title":"oops"}'
{"error":"policy_denied","detail":"POST /repos/octocat/hello-world/issues not permitted by policy"}

See the full walkthrough or run the automated demo:

bash examples/sandbox-policy-quickstart/demo.sh

How It Works

OpenShell isolates each sandbox in its own container with policy-enforced egress routing. A lightweight gateway coordinates sandbox lifecycle, and every outbound connection is intercepted by the policy engine, which does one of three things:

• Allows — the destination and binary match a policy block.
• Routes for inference — strips caller credentials, injects backend credentials, and forwards to the managed model.
• Denies — blocks the request and logs it.

Under the hood, all these components run as a K3s Kubernetes cluster inside a single Docker container — no separate K8s install required. The openshell gateway commands take care of provisioning the container and cluster.

Protection Layers

OpenShell applies defense in depth across four policy domains:

Policies are declarative YAML files. Static sections (filesystem, process) are locked at creation; dynamic sections (network, inference) can be hot-reloaded on a running sandbox with openshell policy set.

Providers

Agents need credentials — API keys, tokens, service accounts. OpenShell manages these as providers: named credential bundles that are injected into sandboxes at creation. The CLI auto-discovers credentials for recognized agents (Claude, Codex, OpenCode, Copilot) from your shell environment, or you can create providers explicitly with openshell provider create. Credentials never leak into the sandbox filesystem; they are injected as environment variables at runtime.

GPU Support (Experimental)

Experimental — GPU passthrough works on supported hosts but is under active development. Expect rough edges and breaking changes.

OpenShell can pass host GPUs into sandboxes for local inference, fine-tuning, or any GPU workload. Add --gpu when creating a sandbox:

openshell sandbox create --gpu --from [gpu-enabled-sandbox] -- claude

The CLI auto-bootstraps a GPU-enabled gateway on first use. GPU intent is also inferred automatically for community images with gpu in the name.

Requirements: NVIDIA drivers and the NVIDIA Container Toolkit must be installed on the host. The sandbox image itself must include the appropriate GPU drivers and libraries for your workload — the default base image does not. See the BYOC example for building a custom sandbox image with GPU support.

Supported Agents

Key Commands

See the full CLI reference for all commands, flags, and environment variables.

Terminal UI

OpenShell includes a real-time terminal dashboard for monitoring gateways, sandboxes, and providers — inspired by k9s.

The TUI gives you a live, keyboard-driven view of your cluster. Navigate with Tab to switch panels, j/k to move through lists, Enter to select, and : for command mode. Cluster health and sandbox status auto-refresh every two seconds.

Community Sandboxes and BYOC

Use --from to create sandboxes from the OpenShell Community catalog, a local directory, or a container image:

openshell sandbox create --from openclaw           # community catalog
openshell sandbox create --from ./my-sandbox-dir   # local Dockerfile
openshell sandbox create --from registry.io/img:v1 # container image

See the community sandboxes catalog and the BYOC example for details.

Explore with Your Agent

Clone the repo and point your coding agent at it. The project includes agent skills that can answer questions, walk you through workflows, and diagnose problems — no issue filing required.

git clone https://github.com/NVIDIA/OpenShell.git   # or git@github.com:NVIDIA/OpenShell.git
cd OpenShell
# Point your agent here — it will discover the skills in .agents/skills/ automatically

Your agent can load skills for CLI usage (openshell-cli), cluster troubleshooting (debug-openshell-cluster), inference troubleshooting (debug-inference), policy generation (generate-sandbox-policy), and more. See CONTRIBUTING.md for the full skills table.

Built With Agents

OpenShell is developed using the same agent-driven workflows it enables. The .agents/skills/ directory contains workflow automation that powers the project's development cycle:

• Spike and build: Investigate a problem with create-spike, then implement it with build-from-issue once a human approves.
• Triage and route: Community issues are assessed with triage-issue, classified, and routed into the spike-build pipeline.
• Security review: review-security-issue produces a severity assessment and remediation plan. fix-security-issue implements it.
• Policy authoring: generate-sandbox-policy creates YAML policies from plain-language requirements or API documentation.

All implementation work is human-gated — agents propose plans, humans approve, agents build. See AGENTS.md for the full workflow chain documentation.

Getting Help

• Questions and discussion: GitHub Discussions
• Bug reports: GitHub Issues — use the bug report template
• Security vulnerabilities: See SECURITY.md — do not use GitHub Issues
• Agent-assisted help: Clone the repo and use the agent skills in .agents/skills/ for self-service diagnostics

Learn More

• Full Documentation — overview, architecture, tutorials, and reference
• Quickstart — detailed install and first sandbox walkthrough
• GitHub Sandbox Tutorial — end-to-end scoped GitHub repo access
• Architecture — detailed architecture docs and design decisions
• Support Matrix — platforms, versions, and kernel requirements
• Brev Launchable — try OpenShell on cloud compute without local setup
• Agent Instructions — system prompt and workflow documentation for agent contributors

Contributing

OpenShell is built agent-first — your agent is your first collaborator. Before opening issues or submitting code, point your agent at the repo and let it use the skills in .agents/skills/ to investigate, diagnose, and prototype. See CONTRIBUTING.md for the full agent skills table, contribution workflow, and development setup.

License

This project is licensed under the Apache License 2.0.