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Quickstart Quickstart
Install the NemoClaw CLI and create your first sandboxed AI agent in two commands.
nemoclaw install
quickstart
sandbox create
getting started
generative_ai
cybersecurity
ai_agents
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type difficulty audience
get_started technical_beginner
engineer
data_scientist

Quickstart

NemoClaw is designed for minimal setup with safety and privacy built in from the start. Two commands take you from zero to a running, policy-enforced sandbox.

Prerequisites

The following are the prerequisites for the NemoClaw CLI.

  • Docker must be running.
  • Python 3.12+ is required.

Install the NemoClaw CLI

$ pip install nemoclaw

Create Your First NemoClaw Sandbox

::::{tab-set}

:::{tab-item} Claude Code

$ nemoclaw sandbox create -- claude
✓ Runtime ready
✓ Discovered Claude credentials (ANTHROPIC_API_KEY)
✓ Created sandbox: keen-fox
✓ Policy loaded (4 protection layers active)

Connecting to keen-fox...

Claude Code works out of the box with the default policy. :::

:::{tab-item} Community Sandbox

$ nemoclaw sandbox create --from openclaw

The --from flag pulls from the NemoClaw Community catalog, which contains a collection of domain-specific sandbox images bundled with their own containers, policies, and skills. :::

::::

The agent runs with filesystem, network, process, and inference protection active. Credentials stay inside the sandbox, network access follows your policy, and inference traffic remains private. A single YAML policy controls all four protection layers and is hot-reloadable on a running sandbox.

For OpenCode or Codex, refer to the Run OpenCode with NVIDIA Inference tutorial for agent-specific setup.

Next Steps

  • Tutorials: Step-by-step walkthroughs for Claude Code, OpenClaw, and OpenCode.
  • Sandboxes: Understand the isolation model and sandbox lifecycle.
  • Safety and Privacy: Write policies that control what agents can access.