1 Minute to Create Your Agent AI based on N8N Docker
n8n docker installation offers the following advantages:
- Installs n8n in a clean environment.
- Easier setup for your preferred database.
- Can avoid issues due to different operating systems, as Docker provides a consistent system.
- Can avoid compatibility issues due to differences in operating systems and tools.
- Makes migrating to new hosts or environments more straightforward.
In this post, I am gonna show a couple of ways to run your own n8n in different docker environment for free.
n8n features
Key Capabilities
- Code When You Need It: Write JavaScript/Python, add npm packages, or use the visual interface
- AI-Native Platform: Build AI agent workflows based on LangChain with your own data and models
- Full Control: Self-host with our fair-code license or use our cloud offering
- Enterprise-Ready: Advanced permissions, SSO, and air-gapped deployments
- Active Community: 400+ integrations and 900+ ready-to-use templates
n8n Docker Deployment
In the terminal, enter the following:
docker volume create n8n_data docker run -it --rm / --name n8n / -p 5678:5678 / -v n8n_data:/home/node/.n8n / docker.n8n.io/n8nio/n8n
This command will download the required n8n image and start your container. You can then access n8n by opening: http://localhost:5678To save your work between container restarts, it also mounts a docker volume, n8n_data
. The workflow data gets saved in an SQLite database in the user folder (/home/node/.n8n
). This folder also contains important data like the webhook URL and the encryption key used for securing credentials.
If this data can't be found at startup n8n automatically creates a new key and any existing credentials can no longer be decrypted.
Labs.play-with-docker.com
docker run -it --rm / --name n8n / -p 5678:5678 / -e N8N_SECURE_COOKIE=false / -v n8n_data:/home/node/.n8n / docker.n8n.io/n8nio/n8n / start --tunnel
Free Render Deployment
- 512MB RAM
- 0.1CPU.
- 100GB Free Bandwidth,
- 500 Minutes Free Pipeline/Month,
- Free PostgreSQL,
- Docker Builds,
- Up to 2 Custom Domains with Free TLS.
- No persistant storage/volumns.
1 Log in to your Render free account, add a new web service:
2 Connect to existing image: docker.n8n.io/n8nio/n8n
3 Enter name and select free hobby projects plan
4 No need to add any environmnet variables, just click Deploy Web Service
Ideally you will need a persistent storage, but since Free plan does not have it, we can skip this part.
Free claw.cloud deployment
ClawCloud Run is a cloud-native platform designed to simplify the process of building, deploying, managing, and running applications. It provides a streamlined workflow for developers, integrating coding, deployment, and runtime functions into a unified environment. ClawCloud Run aims to accelerate development, reduce complexity, and lower costs compared to traditional cloud providers.
Up to 4 vCPU / 8GB RAM
10GiB disk & traffic limited
1 workspace / availability zone
1 seat / workspace
Multiple regions
Free availability zone
1 NodePort
4 Pods
7 days log
Community support
Plan
Free
Hobby
Pro
Price
0$/month
5$/month
20$/month
CPU
4 vCPU
16 vCPU
128 vCPU
RAM
8GB
32GB
256GB
Storage
10GB
Unlimited within the plan
Unlimited within the plan
Network
10GB
Unlimited within the plan
Unlimited within the plan
Workspace
1
3
Multiple
Seat
1
5
Multiple
Other features:
- One-click deployment from app store
- Fast 10 seconds deployment for servers, dbs, and https.
- Free HTTPS & Custom Domain
- Auto-Scaling: Sleep Soundly During Traffic Spikes
- https://run.claw.cloud/
- https://docs.run.claw.cloud/
1 Log in to https://run.claw.cloud/ with your free 180 days old Github account
2 Deploy Application
Enter some necessary info such as name, image, and choose usage for your application:
image name
- n8nio/n8n:1.98.1
3 Make sure add a persistant storage for folder /home/node/.n8n
4 Make sure network port is 5678 and environment variables configured properly.
5 Deploy and check the url you got from previous step once enabled Public Access
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