OpenClaw is an open-source AI coding assistant that helps developers write, review, and debug code using large language models. While many AI coding tools require expensive API subscriptions, this tutorial demonstrates how to run OpenClaw completely free by connecting it to Kimi 2.5's free API tier and deploying it on a virtual private server (VPS).

This setup gives you a fully functional AI coding assistant without ongoing costs, making it ideal for individual developers, students, and small teams exploring AI-assisted development workflows.

Learning Objectives

By completing this tutorial, you will:

• Deploy OpenClaw on a VPS using Docker containers
• Configure OpenClaw to use Kimi 2.5's free API tier
• Set up secure access to your OpenClaw instance
• Integrate OpenClaw with your local development environment
• Troubleshoot common deployment and configuration issues

Prerequisites

Before starting this tutorial, ensure you have:

Required Resources

• VPS Access: A virtual private server with at least 2GB RAM and 20GB storage (DigitalOcean, Vultr, or Linode recommended)
• Kimi API Account: Free account registered at kimi.moonshot.cn with API access enabled
• Domain Name: Optional but recommended for SSL setup and easier access
• SSH Client: Terminal access tool for connecting to your VPS

Technical Skills

• Basic Linux command line proficiency
• Understanding of Docker and containerization concepts
• Familiarity with environment variables and configuration files
• Basic networking knowledge (ports, firewalls, reverse proxies)

Software Requirements

• Docker Engine 24.0 or newer installed on your VPS
• Docker Compose v2.20 or newer
• Git for cloning repositories
• Text editor (nano, vim, or VS Code with Remote-SSH)

Step-by-Step Setup Guide

Step 1: Prepare Your VPS Environment

Connect to your VPS via SSH and update the system packages to ensure security and compatibility:

ssh root@your-vps-ip
apt update && apt upgrade -y

Install Docker and Docker Compose if not already present:

curl -fsSL https://get.docker.com -o get-docker.sh
sh get-docker.sh
apt install docker-compose-plugin -y

Verify the installation by checking versions:

docker --version
docker compose version

Create a dedicated directory for OpenClaw deployment:

mkdir -p /opt/openclaw
cd /opt/openclaw

Step 2: Obtain Kimi 2.5 API Credentials

Navigate to the Kimi developer portal and sign up for a free account. The free tier provides generous monthly token limits suitable for individual development use.

After registration, access the API management dashboard and create a new API key. Copy this key immediately as it won't be shown again. Store it securely in your password manager or encrypted notes.

Step 3: Clone and Configure OpenClaw

Clone the OpenClaw repository from its official source:

git clone https://github.com/openclaw/openclaw.git
cd openclaw

Create an environment configuration file for your deployment:

cp .env.example .env
nano .env

Configure the following essential environment variables in your .env file:

# Kimi API Configuration
LLM_PROVIDER=kimi
KIMI_API_KEY=your_kimi_api_key_here
KIMI_MODEL=moonshot-v1-32k

OpenClaw Server Settings
SERVER_PORT=8080
SERVER_HOST=0.0.0.0
Authentication (generate secure random string)
SECRET_KEY=your_secure_random_string_here
Optional: Database persistence
DATABASE_URL=sqlite:///data/openclaw.db

The moonshot-v1-32k model provides the best balance of capability and free tier token efficiency for ai-coding-assistant workflows.

Step 4: Deploy with Docker Compose

Review the included docker-compose.yml file to understand the service architecture. OpenClaw typically requires at least two containers: the main application server and a Redis instance for session management.

Customize the compose file if needed for your VPS resources:

nano docker-compose.yml

Start the OpenClaw services in detached mode:

docker compose up -d

Monitor the startup logs to ensure successful deployment:

docker compose logs -f

Wait for the message indicating the server is ready and listening on the configured port. This typically takes 30-60 seconds on first launch as Docker pulls required images.

Step 5: Configure Firewall and Network Access

Configure your VPS firewall to allow incoming connections on the OpenClaw port. For UFW (Ubuntu Firewall):

ufw allow 8080/tcp
ufw enable
ufw status

Test local access from within the VPS:

curl http://localhost:8080/health

If you receive a JSON response indicating healthy status, the service is running correctly.

Step 6: Set Up Reverse Proxy with SSL (Recommended)

For production use, expose OpenClaw through a reverse proxy with SSL encryption. Install Nginx:

apt install nginx certbot python3-certbot-nginx -y

Create an Nginx configuration for OpenClaw:

nano /etc/nginx/sites-available/openclaw

Add the following configuration (replace openclaw.yourdomain.com with your actual domain):

server {
    listen 80;
    server_name openclaw.yourdomain.com;

location / {
    proxy_pass http://localhost:8080;
    proxy_http_version 1.1;
    proxy_set_header Upgrade $http_upgrade;
    proxy_set_header Connection 'upgrade';
    proxy_set_header Host $host;
    proxy_cache_bypass $http_upgrade;
    proxy_set_header X-Real-IP $remote_addr;
    proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
}

}

Enable the configuration and obtain an SSL certificate:

ln -s /etc/nginx/sites-available/openclaw /etc/nginx/sites-enabled/
nginx -t
systemctl restart nginx
certbot --nginx -d openclaw.yourdomain.com

Certbot automatically configures SSL and sets up auto-renewal for your certificates.

Step 7: Connect from Your Development Environment

Install the OpenClaw client plugin for your IDE. For VS Code, search for "OpenClaw" in the extensions marketplace and install it.

Configure the extension settings with your server URL:

{
  "openclaw.serverUrl": "https://openclaw.yourdomain.com",
  "openclaw.apiKey": "your_generated_api_key"
}

Test the connection by opening a code file and triggering an AI suggestion with the configured keyboard shortcut (typically Ctrl+Shift+Space).

Troubleshooting Common Issues

Container Fails to Start

If the OpenClaw container exits immediately after starting, check the logs for detailed error messages:

docker compose logs openclaw

Common causes include:

• Invalid API Key: Verify your Kimi API key is correctly copied without extra spaces or characters
• Port Conflict: Ensure port 8080 isn't already in use by another service (netstat -tulpn | grep 8080)
• Insufficient Memory: OpenClaw requires at least 1.5GB available RAM; upgrade your VPS if needed

Connection Timeout from Client

If your IDE client cannot reach the OpenClaw server:

• Verify firewall rules allow traffic on the configured port
• Check if the service is bound to 0.0.0.0 rather than localhost in the configuration
• Test connectivity with curl or telnet from your local machine
• Ensure your VPS provider's security group or cloud firewall permits inbound connections

Kimi API Rate Limiting

Free tier rate limits may be reached during heavy usage. Monitor your usage in the Kimi dashboard and implement request caching in OpenClaw:

# Add to .env
ENABLE_RESPONSE_CACHE=true
CACHE_TTL_SECONDS=3600

This caches identical requests for one hour, significantly reducing API calls for repetitive tasks.

SSL Certificate Issues

If Certbot fails to obtain certificates:

• Verify DNS records point correctly to your VPS IP address
• Ensure port 80 is accessible for Let's Encrypt validation
• Check Nginx configuration syntax with nginx -t
• Review Certbot logs at /var/log/letsencrypt/letsencrypt.log

Best Practices and Optimization

Security Hardening

Implement these security measures for production deployments:

• Enable Authentication: Configure user authentication in OpenClaw to prevent unauthorized access to your AI assistant
• Regular Updates: Set up automated security updates for your VPS and keep Docker images current
• Rate Limiting: Use Nginx or api-gateway to implement rate limiting on the public endpoint
• API Key Rotation: Periodically rotate your Kimi API keys and update the configuration

Performance Optimization

Maximize response speed and resource efficiency:

• Enable Redis Caching: Configure Redis for session storage and response caching to reduce API latency
• Adjust Worker Threads: Set WORKER_THREADS based on your VPS CPU cores (typically 2-4 for small instances)
• Monitor Resource Usage: Use docker stats to track container resource consumption and adjust limits accordingly
• Optimize Model Selection: Use smaller Kimi models for simpler tasks to conserve tokens and reduce latency

Backup and Disaster Recovery

Protect your configuration and data:

• Regularly backup the /opt/openclaw/data directory containing your database and settings
• Store backups off-site using cloud storage or a separate backup VPS
• Document your configuration in a private repository (excluding sensitive credentials)
• Test restoration procedures periodically to ensure backups are functional

Cost Management

Keep your free setup truly free:

• Monitor Kimi API usage in the dashboard to avoid exceeding free tier limits
• Implement usage quotas per user or team member if sharing the instance
• Consider upgrading to paid Kimi tiers only when free limits consistently constrain your workflow
• Use VPS providers with transparent pricing and no surprise bandwidth charges

Next Steps and Advanced Usage

Now that your OpenClaw instance is running, explore these advanced capabilities:

Multi-Model Support

Configure fallback models to use different providers when Kimi limits are reached. OpenClaw supports LocalClaw: Local AI Workflows with Ollama for local inference and other cloud providers as backup options.

Team Collaboration

Set up multi-user authentication and role-based access control to share your OpenClaw instance with team members while maintaining usage quotas and audit logs.

Custom Prompts and Templates

Create project-specific prompt templates for common tasks like code reviews, documentation generation, or test case creation. Store these in the OpenClaw configuration for easy reuse.

Integration with CI/CD

Integrate OpenClaw into your continuous integration pipeline for automated code review, security scanning, and documentation updates on every commit.

Conclusion

You now have a fully functional AI coding assistant running on your own infrastructure at minimal cost. This setup provides the privacy of self-hosting, the performance of dedicated resources, and the economics of free-tier AI APIs.

OpenClaw with Kimi 2.5 offers capabilities comparable to commercial AI coding tools while maintaining complete control over your code and data. As you become comfortable with the basic setup, explore the advanced features and integrations to maximize productivity in your development workflow.

Regular maintenance, security updates, and monitoring will ensure your OpenClaw instance remains reliable and secure for long-term use. Consider joining the OpenClaw community to share your configuration, contribute improvements, and stay updated on new features and best practices.

Tutorial based on content from Metics Media YouTube channel.