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

# Self-host AnythingLLM with Docker

> A private chat workspace over your documents, with built-in RAG and support for local or hosted models.

A private chat workspace over your documents, with built-in RAG and support for local or hosted models.

This page describes the Levelrail template for AnythingLLM (AI). It deploys the services below as one Docker Compose app on your own server. Project site: [https://docs.anythingllm.com](https://docs.anythingllm.com).

Recommended memory: about 2048 MiB.

## Services, ports and volumes

| Service | Image | Container ports | Volumes |
| - | - | - | - |
| `anythingllm` | `mintplexlabs/anythingllm:1.16.2` | 3001 | `anythingllm_storage -> /app/server/storage` |

## Environment variables

| Service | Variable | Value |
| - | - | - |
| `anythingllm` | `JWT_SECRET` | Generated at deploy |
| `anythingllm` | `SERVER_PORT` | Preset in the template |
| `anythingllm` | `STORAGE_DIR` | Preset in the template |

Passwords and keys marked as generated are created for you when the app is deployed and stored as secrets. Values are not shown here.

## Deploy AnythingLLM with Levelrail

In the dashboard, open **Apps**, choose **New app**, then **Browse templates**, and select AnythingLLM. Review the Compose body and deploy.

With the CLI:

```bash theme={"dark"}
levelrail-cli templates deploy anythingllm --name my-anythingllm
```

See the [service template catalog](/templates-and-registry) for how templates work, and [Getting started](/getting-started) if you have not installed Levelrail yet.

## More AI templates

* [ComfyUI](/self-host/comfyui)
* [Flowise](/self-host/flowise)
* [Flowise (Postgres + Qdrant)](/self-host/flowise-postgres)
* [Jupyter GPU Notebook](/self-host/jupyter-gpu)
* [Label Studio](/self-host/label-studio)

All templates are listed in the [self-host gallery](/self-host).


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.