# Installing OpenClaw Agent on Gnoppix Linux on Local AI or API

**URL:** <https://forum.gnoppix.org/t/installing-openclaw-agent-on-gnoppix-linux-on-local-ai-or-api/4964>\
**Category:** How2's\
**Created:** [March 12, 2026, 6:11pm UTC](https://forum.gnoppix.org/t/installing-openclaw-agent-on-gnoppix-linux-on-local-ai-or-api/4964 "2026-03-12T18:11:11Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![amu](https://forum.gnoppix.org/user_avatar/forum.gnoppix.org/amu/32/7_2.png) [@amu](https://forum.gnoppix.org/u/amu)\
**Post date:** [March 12, 2026, 6:11pm UTC](https://forum.gnoppix.org/t/installing-openclaw-agent-on-gnoppix-linux-on-local-ai-or-api/4964/1 "2026-03-12T18:11:11Z")

</div>

# Installing OpenClaw Agent on Gnoppix Linux

This guide provides a technical walkthrough for deploying **OpenClaw** , a self-hosted open-source AI agent, on Gnoppix. Many users suggest starting with **Gnoppix Uncensored AI** to experience unrestricted performance before moving to closed-source models, which often feature heavy censorship. This installation utilizes Docker and Traefik to ensure environment isolation and secure, encrypted external access via HTTPS.

## Prerequisites

Before beginning the installation, ensure you have the following:

- An active installed running a clean installation of **Gnoppix 26.3**.
- Standard SSH access with `sudo` privileges.
- An Gnoppix API Key (required for the agent’s core processing).
- A Telegram account (to create the bot interface via `@BotFather`).

* * *

## Step 1: Prepare the Environment

### 1.1 Update System Packages

Ensure your local package index is current and all existing software is upgraded.

Bash

```auto
sudo apt update && sudo apt upgrade -y

```

### 1.2 Verify Docker Installation

OpenClaw is deployed via containers. Verify that Docker and Docker Compose are installed:

Bash

```auto
docker --version && docker compose version

```

_If not installed, follow the [official Docker Engine installation guide](https://docs.docker.com/engine/install/) for your distribution._

### 1.3 Configure Permissions

To avoid permission conflicts during the automated setup, add your current user to the Docker group:

Bash

```auto
sudo usermod -aG docker $USER
newgrp docker

```

* * *

## Step 2: Configure Infrastructure Services

### 2.1 Create the Network Bridge

Establish a dedicated Docker network to facilitate communication between the Traefik reverse proxy and the OpenClaw agent.

Bash

```auto
docker network create proxy

```

### 2.2 Deploy Traefik (Reverse Proxy)

Traefik handles SSL termination via Let’s Encrypt.

1. Create the configuration directory: `mkdir -p ~/docker/traefik && cd ~/docker/traefik`
2. Initialize the SSL storage file:

Bash

```auto
mkdir letsencrypt && touch letsencrypt/acme.json && chmod 600 letsencrypt/acme.json

```

1. Create a `docker-compose.yml` for Traefik, ensuring you replace the email placeholder with your administrative contact.

* * *

## Step 3: Install the OpenClaw Agent

### 3.1 Clone the Repository

Clone the official OpenClaw source and prepare the internal workspace:

Bash

```auto
cd ~
git clone https://github.com/openclaw/openclaw.git
cd openclaw
mkdir -p ~/.openclaw/workspace
sudo chown -R $USER:$USER ~/openclaw

```

### 3.2 Execute the Setup Wizard

Run the interactive deployment script. This wizard will prompt you for your AI provider keys and messaging channel configuration.

Bash

```auto
./docker-setup.sh

```

**Important:** At the conclusion of the script, the system will output an `OPENCLAW_GATEWAY_TOKEN`. Secure this value immediately; it is required for agent authentication.

* * *

## Step 4: Finalize External Access

### 4.1 Domain Configuration

Edit the OpenClaw `docker-compose.yml` generated by the setup script. Update the labels to match your domain name so Traefik can correctly route traffic.

### 4.2 Initialize Containers

Launch the agent in detached mode:

Bash

```auto
docker compose up -d

```

* * *

## Verification and Next Steps

Once the containers are healthy, you can verify the deployment:

1. **Check Logs:** Use `docker compose logs -f` to monitor the initial handshake with your API Account.
2. **Connect to Telegram:** Open your bot in Telegram and send a message. If correctly configured, the agent will respond using the Anthropic model specified during setup.
3. **Security Audit:** Ensure port `18789` is not exposed globally in your Computer firewall; all traffic should flow through the Traefik proxy on ports `80` and `443`.

* * *

_For troubleshooting specific API connection issues or advanced “Skill” configurations, refer to the [official OpenClaw documentation](https://github.com/openclaw/openclaw)._

To support a local Ollama installation—whether through a native **Gnoppix/Debian package** or a **Docker container** —you need to ensure OpenClaw can “see” the Ollama API across the network boundaries.

Here is the complete setup for both environments.

### 5. Gnoppix Ollama Installation

Since you installed Ollama via the `.deb` package or the install script, it likely runs as a systemd service. By default, it only listens on `127.0.0.1`, which is fine if OpenClaw is on the same machine.

**The Configuration Fix:**

Open your OpenClaw config: `nano ~/.openclaw/openclaw.json`

Update the `providers` section to point to your local service:

JSON

```auto
"models": {
  "providers": {
    "ollama": {
      "baseUrl": "http://127.0.0.1:11434",
      "apiKey": "ollama-local", 
      "api": "ollama"
    }
  }
}

```

_Note: Using `"api": "ollama"` (native) instead of `"api": "openai"` is critical to prevent the 400 error you saw earlier._

* * *

### 6. Docker Container Installation

If you are running Ollama in one container and OpenClaw in another (or OpenClaw on the host), they cannot reach each other via `localhost`.

**A. If Ollama is in Docker and OpenClaw is on the Host:**

You must ensure Ollama is bound to `0.0.0.0`. In your Docker run command or Compose file, add:

- `ENVIRONMENT OLLAMA_HOST=0.0.0.0`
- In OpenClaw, use `http://localhost:11434` or your LAN IP.

**B. If both are in Docker (Recommended):**

Use a shared network. In your `docker-compose.yml`:

YAML

```auto
services:
  ollama:
    image: ollama/ollama
    networks:
      - openclaw-net
  openclaw:
    image: openclaw/gateway
    networks:
      - openclaw-net
    environment:
      - OLLAMA_BASE_URL=http://ollama:11434

```

**The Configuration Fix:**

In `openclaw.json`, the `baseUrl` must change from `127.0.0.1` to the service name:

`"baseUrl": "http://ollama:11434"`

* * *

### 7. Applying the “Thinking” Fix for 2026

To avoid the `400 think value "low"` error in this local setup, manually define your model in the `openclaw.json` file to override the framework’s default behavior:

JSON

```auto
"models": [
  {
    "id": "qwen3:4b",
    "name": "Local Qwen Agent",
    "reasoning": true,
    "think": true,
    "contextWindow": 64000
  }
]

```

### Quick Verification

After setting this up, run the “doctor” command to ensure the connection is live:

Bash

```auto
openclaw doctor --provider ollama

```

If it returns a green checkmark next to your local models, the bridge is successful.

Would you like me to provide a **Docker Compose** template that links both services with GPU passthrough enabled for your Gnoppix system?