> ## Documentation Index
> Fetch the complete documentation index at: https://docs.memanto.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Installation & Quickstart

> Launch your first sandboxed agent and configure your environment.

# Quickstart & Windows Setup

MemantoClaw provides a CLI to launch and manage a sandboxed OpenClaw instance easily.

## Prerequisites

* A valid `MOORCHEH_API_KEY`.
* Docker installed and running on your system.

## Windows Prerequisites

Running MemantoClaw on Windows requires WSL 2 (Windows Subsystem for Linux).

1. **Enable WSL 2**: Open an elevated PowerShell and run `wsl --install --no-distribution`. Reboot if prompted.
2. **Install Ubuntu**: Open an elevated PowerShell and run `wsl --install -d Ubuntu`. Let it finish first-run setup.
3. **Install Docker Desktop**: Install Docker Desktop with the WSL 2 backend. Confirm WSL integration is enabled for your Ubuntu distribution.
4. **Local Ollama (Optional)**: If using Ollama, install it inside WSL: `curl -fsSL https://ollama.com/install.sh | sh`.

## Installation

Install the CLI using the installer script (run this in your WSL/Linux terminal):

```bash theme={null}
curl -fsSL https://raw.githubusercontent.com/moorcheh-ai/memantoclaw/refs/heads/main/install.sh | bash
```

## Launching the Sandbox

Start the interactive onboarding wizard to configure your sandbox. The wizard will prompt you to select your inference provider and securely enter your `MOORCHEH_API_KEY`.

```bash theme={null}
memantoclaw onboard
```

> **Note**: For MemantoClaw-managed environments, always use `memantoclaw onboard` when you need to create or recreate the OpenShell gateway or sandbox. Avoid using raw `openshell` commands for these lifecycle events.

## Deploy to a Remote GPU Instance

You can deploy MemantoClaw to a remote GPU instance (e.g., Brev, AWS).
The preferred path is to provision the VM, run the standard installer on that host, and then run `memantoclaw onboard`.

<br />

<hr />

*For complete, unabridged technical details on this topic, refer to the official [NVIDIA NemoClaw Documentation](https://docs.nvidia.com/nemoclaw/latest/get-started/quickstart.html). Portions of this guide are summarized and adapted from NVIDIA Corporation (Copyright © 2026), licensed under the Apache License, Version 2.0.*