Migrating Existing Applications to OpenClaw with the UBOS One‑Click Template

Migrating an existing application to OpenClaw with the UBOS one‑click template is a fast, secure, and scalable way to modernize legacy code while adding self‑hosted AI agents that can run directly inside your infrastructure.

1. Introduction

OpenClaw is a production‑ready, open‑source framework for building AI‑driven assistants, chatbots, and automation pipelines. When paired with the UBOS one‑click template, developers can spin up a fully configured environment in minutes, eliminating the manual setup of databases, TLS, CI/CD pipelines, and scaling rules.

Why migrate now?

• Leverage the latest self‑hosted AI capabilities without relying on third‑party SaaS endpoints.
• Benefit from UBOS’s platform overview that abstracts infrastructure while keeping you in control.
• Future‑proof your legacy stack with built‑in Enterprise AI platform by UBOS features such as role‑based access and automated backups.

In this guide we walk through every step—from cloning the template to hardening security, scaling, and disaster recovery—while showing how OpenClaw can power the next wave of AI agents in legacy projects.

2. Prerequisites

2.1 Existing Application Requirements

Before you start, ensure your current codebase meets these minimal criteria:

• Runs on a Linux‑compatible container runtime (Docker or Podman).
• Exposes a HTTP/HTTPS endpoint for API calls.
• Uses a relational (PostgreSQL, MySQL) or NoSQL (MongoDB) data store that can be migrated to a UBOS service.
• Has a Dockerfile or docker-compose.yml for reproducible builds.

2.2 UBOS Account and CLI Setup

Sign up for a free UBOS account on the UBOS homepage. After confirming your email, install the UBOS CLI:

curl -sSL https://ubos.tech/install.sh | bash
ubos login

The CLI will prompt you for your API token, which you can retrieve from the About UBOS page.

3. Integration Steps

3.1 Cloning the OpenClaw Template

UBOS hosts a ready‑made OpenClaw starter in its template marketplace. Clone it with a single command:

ubos template clone openclaw-template my-openclaw-app

This creates a directory with the following structure:

my-openclaw-app/
├─ .ubos/               # UBOS service definitions
├─ src/                 # OpenClaw source code
├─ Dockerfile
└─ ubos.yaml            # Deployment manifest

3.2 Merging with Existing Codebase

Copy your legacy source files into src/. If your app already has a Dockerfile, replace the generated one or merge the relevant layers. A typical merge looks like this:

# Existing Dockerfile snippet
FROM node:18-alpine AS builder
WORKDIR /app
COPY . .
RUN npm install && npm run build

# Append OpenClaw runtime
FROM ubos/openclaw-runtime:latest
COPY --from=builder /app/dist /app
CMD ["openclaw", "serve"]

3.3 Configuring Environment Variables

OpenClaw relies on a set of environment variables for model selection, API keys, and database connections. Define them in .ubos/env:

OPENCLAW_MODEL=claude-3
OPENCLAW_API_KEY=your‑openai‑key
DATABASE_URL=postgres://user:pass@db:5432/openclaw
SECRET_KEY=super‑secret‑value

UBOS automatically injects these values into the container at runtime, keeping them out of source control.

4. CI/CD Hookup

4.1 Setting Up GitHub Actions

Create a .github/workflows/deploy.yml file that builds the Docker image and pushes it to UBOS’s registry:

name: Deploy OpenClaw
on:
  push:
    branches: [ main ]
jobs:
  build:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - name: Set up UBOS CLI
        run: curl -sSL https://ubos.tech/install.sh | bash
      - name: Login to UBOS
        run: ubos login --token ${{ secrets.UBOS_TOKEN }}
      - name: Build & Deploy
        run: |
          ubos deploy . --env production

Store the UBOS_TOKEN as a secret in your repository settings. The workflow will trigger on every push to main, ensuring your OpenClaw service stays up‑to‑date.

4.2 GitLab CI Alternative

If you prefer GitLab, the .gitlab-ci.yml below does the same job:

stages:
  - deploy

deploy_openclaw:
  stage: deploy
  image: ubos/cli:latest
  script:
    - ubos login --token $UBOS_TOKEN
    - ubos deploy . --env production
  only:
    - main

Both pipelines leverage UBOS’s Workflow automation studio to orchestrate builds, tests, and rollbacks.

5. Security Hardening

5.1 TLS/HTTPS Configuration

UBOS automatically provisions free TLS certificates via Let’s Encrypt for any domain you bind to the service. Add a domain entry to ubos.yaml:

services:
  openclaw:
    image: my-openclaw-app:latest
    ports:
      - 443:8443
    domain: ai.mycompany.com

After the first deployment, UBOS will request and renew the certificate without further intervention.

5.2 Secrets Management

Never store API keys in plain text. UBOS integrates with Chroma DB integration for encrypted secret storage. Example:

# Store a secret
ubos secret set OPENCLAW_API_KEY --value "sk-xxxx"

# Reference in env file
OPENCLAW_API_KEY=$(ubos secret get OPENCLAW_API_KEY)

5.3 Access Control & Role‑Based Permissions

UBOS supports fine‑grained RBAC out of the box. Define roles in .ubos/roles.yaml:

roles:
  admin:
    - service:openclaw:manage
    - secret:*:read
  developer:
    - service:openclaw:deploy
    - secret:OPENCLAW_API_KEY:read

Assign users via the UBOS partner program portal, ensuring only authorized personnel can modify production resources.

6. Scaling Considerations

6.1 Horizontal Scaling with UBOS Services

To handle increased traffic, simply increase the replica count in the service definition:

services:
  openclaw:
    image: my-openclaw-app:latest
    replicas: 4
    resources:
      cpu: "500m"
      memory: "512Mi"

UBOS will spin up additional containers behind an internal load balancer, distributing requests evenly.

6.2 Load Balancing & Resource Limits

UBOS’s built‑in load balancer respects the resources block above, preventing any single pod from exhausting the host. For CPU‑intensive AI inference, you may also enable GPU passthrough if your node supports it:

services:
  openclaw:
    gpu: true
    resources:
      cpu: "1"
      memory: "2Gi"

Combine this with the AI marketing agents to automatically route high‑value queries to more powerful instances.

7. Disaster‑Recovery

7.1 Backup Strategies

UBOS offers scheduled snapshots for both databases and file systems. Define a backup policy in .ubos/backup.yaml:

backups:
  - name: openclaw-db
    service: openclaw-db
    schedule: "0 2 * * *"   # daily at 2 AM UTC
    retention: 30           # keep 30 days

Backups are stored in encrypted object storage managed by UBOS, ensuring compliance with GDPR and SOC‑2.

7.2 Automated Restore Procedures

In the event of a failure, run a single command to restore the latest snapshot:

ubos backup restore openclaw-db --latest

The service will restart with the recovered data, and the CI/CD pipeline will redeploy the latest image automatically.

8. AI‑Agent Hype Connection

OpenClaw is purpose‑built for self‑hosted AI assistants. By running the framework inside your own UBOS environment, you avoid data leakage, reduce latency, and retain full control over model versions.

8.1 Powering Self‑Hosted AI Assistants

With the OpenAI ChatGPT integration already baked into the template, you can swap the backend model to Claude, Llama, or any locally hosted transformer. Example configuration:

OPENCLAW_MODEL=claude-3
OPENCLAW_ENDPOINT=http://local-llama:8000/v1

This flexibility lets you experiment with the latest AI‑agent hype while staying on‑premise.

8.2 Real‑World Use Cases in Legacy Projects

• Customer support overlay: Wrap an existing ticketing system with an AI Customer Support with ChatGPT API bot that suggests replies based on historical tickets.
• Knowledge base augmentation: Use the AI Article Copywriter to auto‑generate documentation from code comments.
• Internal workflow automation: Combine AI Survey Generator with the Workflow automation studio to trigger surveys after each deployment.

These patterns illustrate how OpenClaw can breathe new AI life into applications that were originally built without any machine‑learning considerations.

9. Conclusion & Next Steps

By following this guide you have:

• Cloned and merged the UBOS one‑click OpenClaw template into your legacy code.
• Set up a robust CI/CD pipeline with GitHub Actions or GitLab CI.
• Implemented TLS, secret management, and RBAC for production‑grade security.
• Configured horizontal scaling and GPU support for high‑throughput AI inference.
• Established automated backups and a one‑command restore workflow.
• Connected the deployment to the broader AI‑agent ecosystem, enabling self‑hosted assistants.

Ready to modernize your stack? Explore the UBOS templates for quick start, or dive straight into the UBOS portfolio examples for inspiration.

For pricing details, see the UBOS pricing plans. If you’re a startup, the UBOS for startups program offers generous credits.

Stay ahead of the AI curve—migrate to OpenClaw today and let your legacy applications speak the language of tomorrow’s intelligent agents.

For more background on OpenClaw’s recent release, see the original news announcement.