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Quickstart & Windows Setup

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

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Prerequisites

  • A valid MOORCHEH_API_KEY.
  • Docker installed and running on your system.

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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.

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Installation

Install the CLI using the installer script (run this in your WSL/Linux terminal): 
curl -fsSL https://raw.githubusercontent.com/moorcheh-ai/memantoclaw/refs/heads/main/install.sh | bash

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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. 
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.

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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.
For complete, unabridged technical details on this topic, refer to the official NVIDIA NemoClaw Documentation. Portions of this guide are summarized and adapted from NVIDIA Corporation (Copyright © 2026), licensed under the Apache License, Version 2.0.