| name | memantoclaw-get-started |
| description | Installs MemantoClaw, launch a sandbox, and run your first agent prompt. Use when inference routing, install memantoclaw openclaw sandbox, memantoclaw, memantoclaw quickstart, memantoclaw quickstart install launch, openclaw, openshell, sandboxing. |
Memantoclaw Get Started
Install MemantoClaw, launch a sandbox, and run your first agent prompt.
Alpha software: MemantoClaw is in alpha, available as an early preview since March 16, 2026.
APIs, configuration schemas, and runtime behavior are subject to breaking changes between releases.
Do not use this software in production environments.
File issues and feedback through the GitHub repository as the project continues to stabilize.
Follow these steps to get started with MemantoClaw and your first sandboxed OpenClaw agent.
Note: MemantoClaw currently requires a fresh installation of OpenClaw.
Prerequisites
Check the prerequisites before you start to ensure you have the necessary software and hardware to run MemantoClaw.
Hardware
| Resource | Minimum | Recommended |
|---|
| CPU | 4 vCPU | 4+ vCPU |
| RAM | 8 GB | 16 GB |
| Disk | 20 GB free | 40 GB free |
The sandbox image is approximately 2.4 GB compressed. During image push, the Docker daemon, k3s, and the OpenShell gateway run alongside the export pipeline, which buffers decompressed layers in memory. On machines with less than 8 GB of RAM, this combined usage can trigger the OOM killer. If you cannot add memory, configuring at least 8 GB of swap can work around the issue at the cost of slower performance.
Software
| Dependency | Version |
|---|
| Linux | Ubuntu 22.04 LTS or later |
| Node.js | 20 or later |
| npm | 10 or later |
| Container runtime | Supported runtime installed and running |
| OpenShell | Installed |
Container Runtime Support
| Platform | Supported runtimes | Notes |
|---|
| Linux | Docker | Primary supported path today |
| macOS (Apple Silicon) | Colima, Docker Desktop | Recommended runtimes for supported macOS setups |
| macOS | Podman | Not supported yet. MemantoClaw currently depends on OpenShell support for Podman on macOS. |
| Windows WSL | Docker Desktop (WSL backend) | Supported target path |
💡 Tip
For DGX Spark, follow the DGX Spark setup guide. It covers Spark-specific prerequisites, such as cgroup v2 and Docker configuration, before running the standard installer.
Install MemantoClaw and Onboard OpenClaw Agent
Download and run the installer script.
The script installs Node.js if it is not already present, then runs the guided onboard wizard to create a sandbox, configure inference, and apply security policies.
curl -fsSL https://raw.githubusercontent.com/moorcheh-ai/memantoclaw/refs/heads/main/install.sh | bash
If you use nvm or fnm to manage Node.js, the installer may not update your current shell's PATH.
If memantoclaw is not found after install, run source ~/.bashrc (or source ~/.zshrc for zsh) or open a new terminal.
When the install completes, a summary confirms the running environment:
──────────────────────────────────────────────────
Sandbox my-assistant (Landlock + seccomp + netns)
Model nvidia/nemotron-3-super-120b-a12b (NVIDIA Endpoints)
──────────────────────────────────────────────────
Run: memantoclaw my-assistant connect
Status: memantoclaw my-assistant status
Logs: memantoclaw my-assistant logs --follow
──────────────────────────────────────────────────
[INFO] === Installation complete ===
Chat with the Agent
Connect to the sandbox, then chat with the agent through the TUI or the CLI.
Connect to the Sandbox
Run the following command to connect to the sandbox:
memantoclaw my-assistant connect
This connects you to the sandbox shell sandbox@my-assistant:~$ where you can run openclaw commands.
OpenClaw TUI
In the sandbox shell, run the following command to open the OpenClaw TUI, which opens an interactive chat interface.
openclaw tui
Send a test message to the agent and verify you receive a response.
ℹ️ Note
The TUI is best for interactive back-and-forth. If you need the full text of a long response such as a large code generation output, use the CLI instead.
OpenClaw CLI
In the sandbox shell, run the following command to send a single message and print the response:
openclaw agent --agent main --local -m "hello" --session-id test
This prints the complete response directly in the terminal and avoids relying on the TUI view for long output.
Uninstall
To remove MemantoClaw and all resources created during setup, in the terminal outside the sandbox, run:
curl -fsSL https://raw.githubusercontent.com/moorcheh-ai/memantoclaw/refs/heads/main/uninstall.sh | bash
The script removes sandboxes, the MemantoClaw gateway and providers, related Docker images and containers, local state directories, and the global memantoclaw npm package. It does not remove shared system tooling such as Docker, Node.js, npm, or Ollama.
| Flag | Effect |
|---|
--yes | Skip the confirmation prompt. |
--keep-openshell | Leave the openshell binary installed. |
--delete-models | Also remove MemantoClaw-pulled Ollama models. |
For example, to skip the confirmation prompt:
curl -fsSL https://raw.githubusercontent.com/moorcheh-ai/memantoclaw/refs/heads/main/uninstall.sh | bash -s -- --yes
Related Skills
memantoclaw-configure-inference — Switch inference providers to use a different model or endpointmemantoclaw-manage-policy — Approve or deny network requests when the agent tries to reach external hostsmemantoclaw-deploy-remote — Deploy to a remote GPU instance for always-on operationmemantoclaw-monitor-sandbox — Monitor sandbox activity through the OpenShell TUI
