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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