> For the complete documentation index, see [llms.txt](https://docs.hexabot.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.hexabot.ai/developer-guide/setting-up-docker.md).

# Setting Up Docker

Hexabot does not require Docker to run. You can run Hexabot directly with Node.js and the CLI.

Docker is still the recommended setup, especially for production deployments. The provided Docker Compose setup helps you start and manage containerized services consistently.

{% hint style="info" %}
The following is an example on how to install Docker on a Ubuntu machine. If you have a different OS, please check the official guide on how to install Docker on your system <https://docs.docker.com/engine/install/>
{% endhint %}

1. Set up Docker's apt repository:

```bash
 # Add Docker's official GPG key:
 sudo apt-get update
 sudo apt-get install ca-certificates curl
 sudo install -m 0755 -d /etc/apt/keyrings
 sudo curl -fsSL https://download.docker.com/linux/ubuntu/gpg -o /etc/apt/keyrings/docker.asc
 sudo chmod a+r /etc/apt/keyrings/docker.asc

 # Add the repository to Apt sources:
echo "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.asc] https://download.docker.com/linux/ubuntu \
$(. /etc/os-release && echo "$VERSION_CODENAME") stable" | \
sudo tee /etc/apt/sources.list.d/docker.list > /dev/null

# Update the system:
sudo apt-get update
```

2. Install Docker Community Edition:

```bash
sudo apt-get install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin
```

3. Check if Docker is running:

<pre class="language-bash"><code class="lang-bash"><strong>sudo systemctl status docker
</strong></code></pre>

4. Add your user to the Docker group:

```bash
sudo usermod -aG docker $USER
```

5. To apply the new group membership, log out of the server and back in, or type the following:

```bash
su - ${USER}
```


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.hexabot.ai/developer-guide/setting-up-docker.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.