Announcing the New OpenClaw Full‑Stack GitHub Repository

🚀 Introduction – New OpenClaw GitHub Repository

Today’s developers expect a single source of truth for every piece of a modern application stack. To meet that expectation, UBOS is publishing a new GitHub repository that bundles everything you need to spin up the OpenClaw demo application in production‑grade fashion. Whether you are a solo coder, a DevOps engineer, or a startup CTO, the repo gives you a ready‑made, battle‑tested foundation that eliminates the repetitive “glue” work and lets you focus on delivering value.

The repository is the culmination of a multi‑part tutorial series that UBOS published over the last six months. By consolidating those lessons into a single, version‑controlled codebase, we are turning a fragmented learning experience into a reusable product that can be cloned, customized, and extended in minutes.

📦 Repository Overview

Full‑Stack OpenClaw Template

The core of the repo is a fully functional OpenClaw application built with a modern JavaScript front‑end, a Node.js back‑end, and a PostgreSQL database. All components are containerized with Docker, orchestrated via Docker‑Compose, and ready for Kubernetes migration. The template follows the UBOS platform overview best practices, ensuring consistent environment variables, logging conventions, and error handling patterns.

CI/CD Pipelines

Continuous Integration and Continuous Deployment are no longer optional. The repository ships with two ready‑to‑use pipelines:

• GitHub Actions workflow that runs unit tests, linting, and static code analysis on every push.
• GitLab CI configuration (for teams that prefer self‑hosted runners) that builds Docker images, pushes them to a private registry, and triggers a rolling update on a Kubernetes cluster.

Both pipelines are annotated with Enterprise AI platform by UBOS hooks that automatically scan for security vulnerabilities using AI‑driven analysis, reducing the time to remediate critical findings.

Security Hardening

Security is baked in at every layer:

• Container images are built from distroless bases to minimize attack surface.
• Secrets are managed with UBOS partner program integrations for HashiCorp Vault and AWS Secrets Manager.
• Network policies enforce zero‑trust communication between services.
• Automated OWASP ZAP scans run nightly and post‑deployment, feeding results into the CI pipeline.

Monitoring Setup

Observability is delivered out‑of‑the‑box with a full Prometheus‑Grafana stack, Loki for log aggregation, and OpenTelemetry instrumentation for trace collection. The repo includes pre‑configured Grafana dashboards that surface:

• API latency percentiles.
• Database query performance.
• Container resource utilization.
• Security alert timelines.

For teams that need AI‑enhanced anomaly detection, the monitoring suite can be extended with the AI marketing agents module, which applies machine‑learning models to predict traffic spikes before they happen.

Deployment Guides

The repository contains step‑by‑step markdown guides for three common deployment targets:

1. Local Docker‑Compose – ideal for rapid prototyping.
2. Kubernetes (GKE, EKS, AKS) – production‑grade, auto‑scaling clusters.
3. UBOS Cloud – one‑click deployment using UBOS’s managed platform.

Each guide includes code snippets, environment variable tables, and troubleshooting tips that were previously scattered across multiple blog posts.

🔗 Consolidation of the Tutorial Series

Over the past half‑year, UBOS published a series of eight tutorials covering everything from “Setting Up Docker for OpenClaw” to “Implementing Zero‑Trust Security with Service Mesh”. While each article was valuable on its own, developers often struggled to piece together the full workflow. The new repository resolves that friction by:

• Embedding every script, configuration file, and markdown guide directly in the src/ folder.
• Version‑locking dependencies so that the tutorial steps always match the code you clone.
• Providing a single README.md that acts as a table of contents for the entire learning path.

In practice, this means a developer can now start with a single git clone command, run docker compose up, and have a fully functional OpenClaw instance with CI/CD, security, and monitoring already wired together. No more hunting for “part 3 of the series” or copying snippets from separate blog posts.

✨ Key Features and Benefits

Why should you adopt the OpenClaw full‑stack template today?

In addition to the technical advantages, the template aligns with UBOS’s broader mission to democratize AI‑enhanced development. By providing a production‑ready stack, we empower startups, SMBs, and enterprise teams alike to experiment with AI features—such as the OpenAI ChatGPT integration—without reinventing the wheel.

🚀 Call‑to‑Action – Clone, Run, and Contribute

Ready to get your hands dirty? Follow these three simple steps:

1. Clone the repository – Open your terminal and run:

   git clone https://github.com/UBOS/openclaw-template.git
   cd openclaw-template

2. Launch the stack locally – Execute the Docker‑Compose command:

   docker compose up -d

   The application will be reachable at http://localhost:3000 within seconds.

3. Explore the CI/CD pipelines – Push a change to any file, open a pull request, and watch the GitHub Actions workflow run automatically. Review the security scan results in the “Security” tab of the Actions UI.

If you prefer a managed environment, our OpenClaw hosting guide walks you through deploying the template on UBOS Cloud with a single click. The guide also explains how to connect your own domain, enable HTTPS, and scale the service horizontally.

Contributions are welcome! Fork the repo, add a feature (e.g., a new AI integration), and submit a pull request. All accepted contributions will be highlighted in the UBOS portfolio examples page, giving you community recognition and a showcase for recruiters.

For more context on the original announcement, see the official news release.