When pulling container images from ghcr.io, credentials are always sent. If the token lacks access to a specific repo (e.g., a public repo the caller's PAT cannot read), the pull fails with a 401/403 even though an unauthenticated pull would succeed. Add fallback logic across all three pull paths: - ensure_image() (local Docker daemon): detect auth failure from the pull stream and retry with no credentials. - pull_remote_image() (remote SSH daemon): same pattern using the new consume_pull_stream() helper. - cluster-entrypoint.sh (k3s/containerd): validate credentials via the GHCR token endpoint before writing auth config to registries.yaml; skip auth block when credentials are rejected so containerd uses anonymous pulls. Also adds is_auth_failure() helper that matches 401/403 status codes and common Docker error messages (pull access denied, unauthorized, denied: access forbidden), curl to the cluster runtime image for the credential test, and updated error diagnosis messaging.
OpenShell
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 cluster. 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
Want to run on cloud compute? Launch on Brev. Otherwise, follow the steps below to run locally.
Prerequisites
- Docker — Docker Desktop (or a Docker daemon) must be running.
Install
Binary (recommended — requires GitHub CLI):
sh -c 'ARCH=$(uname -m); OS=$(uname -s); \
case "${OS}-${ARCH}" in \
Linux-x86_64) ASSET="openshell-x86_64-unknown-linux-musl.tar.gz" ;; \
Linux-aarch64) ASSET="openshell-aarch64-unknown-linux-musl.tar.gz" ;; \
Darwin-arm64) ASSET="openshell-aarch64-apple-darwin.tar.gz" ;; \
*) echo "Unsupported platform: ${OS}-${ARCH}" >&2; exit 1 ;; \
esac; \
gh release download devel --repo NVIDIA/OpenShell --pattern "${ASSET}" -O - \
| tar xz \
&& sudo install -m 755 openshell /usr/local/bin/openshell'
Or use the install script from the repository:
./install.sh
From PyPI (requires uv):
uv tool install -U openshell
Create a sandbox
openshell sandbox create -- claude # or opencode, codex, --from openclaw
A gateway cluster is created automatically on first use. To deploy on a remote host instead, use openshell gateway start --remote user@host.
The sandbox container includes the following tools by default:
| Category | Tools |
|---|---|
| Agent | claude, opencode, codex |
| Language | python (3.13), node (22) |
| Developer | gh, git, vim, nano |
| Networking | ping, dig, nslookup, nc, traceroute, netstat |
Explore with your agent
Clone the repo and point your coding agent at it. The project includes agent skills that can answer questions, walk you through workflows, and diagnose problems — no issue filing required.
git clone https://github.com/NVIDIA/OpenShell.git # or git@github.com:NVIDIA/OpenShell.git
cd OpenShell
# Point your agent here — it will discover the skills in .agents/skills/ automatically
Your agent can load skills for CLI usage (openshell-cli), cluster troubleshooting (debug-openshell-cluster), policy generation (generate-sandbox-policy), and more. See CONTRIBUTING.md for the full skills table.
See network policy in action
Every sandbox starts with minimal outbound access. You open additional access with a short YAML policy that the proxy enforces at the HTTP method and path level, without restarting anything.
# 1. Create a sandbox (starts with minimal outbound access)
openshell sandbox create --name demo --keep --no-auto-providers
# 2. Inside the sandbox — blocked
sandbox$ 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
Protection Layers
OpenShell applies defense in depth across four policy domains:
| Layer | What it protects | When it applies |
|---|---|---|
| Filesystem | Prevents reads/writes outside allowed paths. | Locked at sandbox creation. |
| Network | Blocks unauthorized outbound connections. | Hot-reloadable at runtime. |
| Process | Blocks privilege escalation and dangerous syscalls. | Locked at sandbox creation. |
| Inference | Reroutes model API calls to controlled backends. | Hot-reloadable at runtime. |
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.
Supported Agents
| Agent | Source | Notes |
|---|---|---|
| Claude Code | Built-in | Works out of the box. Requires ANTHROPIC_API_KEY. |
| OpenCode | Built-in | Works out of the box. Requires OPENAI_API_KEY or OPENROUTER_API_KEY. |
| Codex | Built-in | Works out of the box. Requires OPENAI_API_KEY. |
| OpenClaw | Community | Launch with openshell sandbox create --from openclaw. |
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, the gateway runs as a K3s Kubernetes cluster inside Docker — no separate K8s install required.
| Component | Role |
|---|---|
| Gateway | Control-plane API that coordinates sandbox lifecycle and acts as the auth boundary. |
| Sandbox | Isolated runtime with container supervision and policy-enforced egress routing. |
| Policy Engine | Enforces filesystem, network, and process constraints from application layer down to kernel. |
| Privacy Router | Privacy-aware LLM routing that keeps sensitive context on sandbox compute. |
Key Commands
| Command | Description |
|---|---|
openshell sandbox create -- <agent> |
Create a sandbox and launch an agent. |
openshell sandbox connect [name] |
SSH into a running sandbox. |
openshell sandbox list |
List all sandboxes. |
openshell sandbox delete <name> |
Delete a sandbox. |
openshell provider create --type claude --from-existing |
Create a credential provider from env vars. |
openshell policy set <name> --policy file.yaml |
Apply or update a policy on a running sandbox. |
openshell policy get <name> |
Show the active policy. |
openshell inference set --provider <p> --model <m> |
Configure the inference.local endpoint. |
openshell logs [name] --tail |
Stream sandbox logs. |
openshell term |
Launch the real-time terminal UI for debugging. |
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.
openshell term
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.
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 withbuild-from-issueonce 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-issueproduces a severity assessment and remediation plan.fix-security-issueimplements it. - Policy authoring:
generate-sandbox-policycreates 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.
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.
