- Updated: March 20, 2026
- 2 min read
End‑to‑End CI/CD for the OpenClaw Full‑Stack Template
In today’s AI‑agent boom, developers are racing to ship self‑hosted assistants that are both powerful and reliable. To keep up, you need a rock‑solid CI/CD pipeline that automates everything from code checks to production deployment. This guide walks you through setting up a complete CI/CD workflow for the one‑click‑deploy OpenClaw Rating API Edge template on UBOS.
1. GitHub Actions – The Orchestrator
Create a .github/workflows/ci-cd.yml file that triggers on pushes and pull‑requests. The workflow will:
- Check out the repository.
- Run
npm installandnpm test(or your preferred test suite). - Build a Docker image for the OpenClaw template.
- Push the image to a container registry (Docker Hub, GitHub Packages, etc.).
- Deploy the new image to UBOS using the UBOS CLI.
2. Docker – Consistent Runtime
The Dockerfile packages the OpenClaw Rating API Edge template with all its dependencies. By building the image in the CI pipeline you guarantee that the same environment runs locally, in CI, and in production.
3. Automated Tests – Confidence Before Deploy
Include unit, integration, and end‑to‑end tests. Example using Jest:
npm run testIf any test fails, the pipeline aborts, preventing broken code from reaching your users.
4. Deploy to UBOS – One‑Click Production
After a successful build, the workflow runs:
ubos deploy --app openclaw-rating-api --image your-registry/openclaw:latestThis command pulls the new image and restarts the service on your UBOS instance, giving you zero‑downtime updates.
5. Internal Link & AI‑Agent Context
For a deeper dive on hosting OpenClaw on UBOS, see our step‑by‑step guide. As AI agents become ubiquitous, reliable automation like this CI/CD pipeline ensures that your self‑hosted assistants stay up‑to‑date, secure, and performant without manual intervention.
Happy coding!