---
license: apache-2.0
pretty_name: SaaS-Bench Docker Images
language:
- en
tags:
- benchmark
- agents
- computer-use
- llm-agents
- browser-use
- saas
- docker
task_categories:
- other
size_categories:
- n<1K
---

# SaaS-Bench Docker Images

Docker image archives for the **SaaS-Bench** benchmark — a suite of 23
self-hosted SaaS applications used to evaluate computer-use LLM agents on
real, multi-step business workflows.

This repository hosts the **prebuilt `.tar` images** (≈ 63 GB total) so you
can reproduce the benchmark environment without rebuilding each app from
source. The eval harness, task definitions, and verifiers live in the main
[SaaS-Bench](https://github.com/keanshi-nlp/SaaS-Bench) repository.

> **Paper:** *SaaS-Bench: Can Computer-Use Agents Leverage Real-World SaaS
> to Solve Professional Workflows?*

## Overview

SaaS-Bench evaluates browser-driving LLM agents on **106 task instances
across 6 domains**, running on **23 self-hosted SaaS applications**.
Each task asks the agent to complete a multi-step workflow (e.g. create a
purchase order, configure a project board, schedule a patient visit); a
per-task `verify.py` script then inspects the running application's state
(DB rows, API responses, filesystem) and returns a pass/fail.

| Track   | Domain | Tasks | Representative apps                              |
| ------- | ------ | ----- | ------------------------------------------------ |
| uni-m   | BOF    | 15    | Twenty, Bigcapital, HRMS, Pretix                 |
| uni-m   | HA     | 16    | OpenEMR, OnlyOffice, OpnForm                     |
| uni-m   | SEPM   | 31    | Baserow, OpenProject, code-server, Metabase      |
| uni-m   | TCDW   | 12    | OnlyOffice, Mattermost, RoundcubeMail, ownCloud  |
| multi-m | AASC   | 12    | Grocy, farmOS, Recipya, e-label                  |
| multi-m | IMC    | 20    | SiYuan, Watcharr, BookLore, PhotoPrism, MediaCMS |

Domains: **BOF** = Business Operations & Finance · **HA** = Healthcare &
Administration · **SEPM** = Software Eng. & Project Mgmt. · **TCDW** =
Team Comms & Document Workflows · **AASC** = Agriculture, Authoring &
Supply Chain · **IMC** = Information Mgmt. & Creative.

## Contents

23 Docker image archives (`mw-*.tar`) covering every app used by the
benchmark.

| File                      | App / Stack            | Size    |
| ------------------------- | ---------------------- | ------- |
| `mw-baserow.tar`          | Baserow                | 3.07 GB  |
| `mw-bigcapital.tar`       | Bigcapital             | 2.94 GB  |
| `mw-booklore.tar`         | BookLore               | 1.55 GB  |
| `mw-code-server.tar`      | code-server            | 8.46 GB  |
| `mw-elabel.tar`           | e-label                | 2.00 GB  |
| `mw-farmos.tar`           | farmOS                 | 1.13 GB  |
| `mw-grocy.tar`            | Grocy                  | 286 MB   |
| `mw-hrms.tar`             | HRMS                   | 5.88 GB  |
| `mw-mattermost.tar`       | Mattermost (+Postgres) | 1.53 GB  |
| `mw-mediacms.tar`         | MediaCMS               | 1.76 GB  |
| `mw-metabase.tar`         | Metabase               | 889 MB   |
| `mw-onlyoffice.tar`       | OnlyOffice (4-image stack) | 10.46 GB |
| `mw-openemr.tar`          | OpenEMR                | 4.48 GB  |
| `mw-openproject.tar`      | OpenProject            | 2.27 GB  |
| `mw-opnform.tar`          | OpnForm                | 548 MB   |
| `mw-owncloud.tar`         | ownCloud               | 2.14 GB  |
| `mw-photoprism.tar`       | PhotoPrism             | 3.82 GB  |
| `mw-pretix.tar`           | Pretix                 | 2.39 GB  |
| `mw-recipya.tar`          | Recipya                | 624 MB   |
| `mw-roundcubemail.tar`    | Roundcube Mail         | 1.34 GB  |
| `mw-siyuan.tar`           | SiYuan Notes           | 3.06 GB  |
| `mw-twenty.tar`           | Twenty CRM             | 2.11 GB  |
| `mw-watcharr.tar`         | Watcharr               | 250 MB   |

Each tar already contains the `:latest` tag; image names follow the
`mw-<app>[-<component>]` convention so loaders can resolve them
deterministically.

## Download

```python
from huggingface_hub import snapshot_download

snapshot_download(
    repo_id="Marti844/SaaS-Bench-docker",
    repo_type="dataset",
    local_dir="docker/images",
    allow_patterns=["*.tar"],
)
```

Or with the CLI:

```bash
hf download Marti844/SaaS-Bench-docker \
    --repo-type dataset --local-dir docker/images \
    --include "*.tar"
```

## System requirements

- **Disk:** ≥ 130 GB free — ~63 GB for the archives plus the loaded images.
- **RAM:** ≥ 500 GB recommended if you run the full eval with the default
  4-way parallelism — most stacks bundle their own DB / search /
  document-server, so total memory grows quickly under concurrency.
- **Host OS:** Linux. Tested on Ubuntu 22.04 and Alibaba Cloud Linux.
- **Docker:** 24+ with the `compose` plugin.

## Licensing

- **This card:** Apache 2.0.
- **Each bundled Docker image** retains the license of its upstream
  project (e.g. OnlyOffice — AGPLv3, Mattermost — MIT/AGPLv3 dual,
  OpenEMR — GPLv3, etc.). The images are redistributed for benchmarking
  convenience only. Verify upstream terms before any non-research use.