openclaw-n8n-stack：面向 Windows 的 OpenClaw + n8n Docker 一体化栈

⚙️ openclaw-n8n-stack - Run AI workflows with less setup

🧭 What this is

openclaw-n8n-stack is a ready-to-run Docker stack for Windows users who want to use:

OpenClaw AI agent
n8n workflow automation
PostgreSQL data storage
MCP support for connected tools
multi-agent setup for task handling

It gives you one place to start the app, keep data in one database, and run automation without building each part by hand.

📦 What you need

Before you begin, make sure you have:

Windows 10 or Windows 11
8 GB RAM or more
10 GB free disk space
Docker Desktop installed
A web browser
Internet access for the first setup

If Docker Desktop is not on your PC, install it first, then come back to this page.

🚀 Download and start

Use this link to visit the project page and get the files:

Open the openclaw-n8n-stack project

After you open the page:

Look for the latest release or the main project files
Download the stack files to your PC
Extract the files if they come in a ZIP folder
Keep the folder in a place you can find later, such as Downloads or Desktop

If you already have the files, move to the setup step.

🛠️ Install Docker Desktop

Docker Desktop runs the stack on your Windows PC.

Open the Docker Desktop installer
Follow the on-screen steps
Finish the install
Start Docker Desktop
Wait until Docker shows it is running

If Docker asks to use WSL 2, allow it. The stack works best with that setup.

🧰 Set up the stack

Open the folder you downloaded.

You should see files that start the stack, usually a docker-compose file and related config files.

Do this:

Open the folder
Find the main start file
Double-click it if the project includes a Windows launch file
If the project uses Docker Compose from a terminal, open Command Prompt in that folder
Start the stack using the provided command or script

If you are not sure which file to use, look for a file name that includes:

start
run
up
docker-compose

The stack will pull the needed images the first time. This can take a few minutes.

🌐 Open the apps

When the stack is ready, open your browser and use the local addresses provided by the project.

You will usually find:

n8n for workflow automation
OpenClaw for AI agent tasks
PostgreSQL for data storage in the background

Common local links look like this:

http://localhost:5678 for n8n
another local address for OpenClaw
database access through the stack only, not through a browser page

If the project includes a .env file or setup page, use the values in that file to find the right address and login details.

🔐 First-time sign in

When you open n8n or OpenClaw for the first time, you may need to create or enter login details.

Use this approach:

Check the project files for a default username and password
Use the first-run account if one is listed
Change the password after your first login
Keep your login details in a safe place

If the stack includes a setup page, finish that page before you start building workflows.

🤖 What you can do with it

This stack helps you build and run common automation jobs, such as:

sending alerts when something changes
moving data between apps
making simple agent-driven task flows
scheduling repeat jobs
connecting tools through MCP
using multiple agents for different steps in a task
storing workflow data in PostgreSQL

It suits people who want a local system that runs on their own machine or server.

🧩 Main parts of the stack

OpenClaw AI agent

OpenClaw handles agent tasks and works with other tools in the stack. It can help route work, process input, and support multi-agent flows.

n8n workflow automation

n8n lets you build automation with visual blocks. You can connect apps, set triggers, and move data through a workflow.

PostgreSQL database

PostgreSQL stores data used by the stack. It keeps workflow data, app settings, and task records in one place.

MCP support

MCP lets tools connect in a clean way. The stack comes pre-wired for this, so the parts can work together with less setup.

🧪 Common first test

After setup, try a simple test:

Open n8n in your browser
Create a basic workflow
Add a manual trigger
Add one action, such as a note or test message
Run the workflow
Check that it completes without errors

If that works, the stack is running well.

⚙️ Basic folder layout

You may see files like these:

docker-compose.yml — starts the stack
.env — holds local settings
README.md — project guide
data or storage folders — keeps saved files and database data
scripts folder — start or helper scripts

Do not delete these files unless you know what they do.

🧯 If something does not start

If the stack does not open, try these steps:

Make sure Docker Desktop is running
Check that the files are still in the same folder
Start the stack again
Wait longer for the first pull of images
Restart Docker Desktop
Reboot your PC and try again

If a page does not load, check the local address in the project files. The port may be different on your system.

🔄 Updating the stack

To update the project later:

Stop the running stack
Download the latest project files
Replace the old files with the new ones
Start the stack again
Check your workflows and data

If you keep your database in a volume, your stored data should stay in place.

🧠 Best ways to use it

Use this stack when you want:

a local AI agent setup
workflow automation in one place
a Docker-based install with less manual work
a self-hosted system you can control
a setup that supports more than one agent

It works well for home labs, small teams, and test setups

📁 Project topics

ai-agents
automation
docker
docker-compose
mcp
multi-agent
n8n
openclaw
self-hosted
workflow