Deploy OpenClaw Full-Stack Demo: A Step‑by‑Step Guide

Introduction – AI‑Agent Hype and Why OpenClaw Matters

The AI‑agent boom is reshaping how developers build autonomous assistants, from customer‑support bots to intelligent workflow orchestrators. AI marketing agents are now a staple in every startup’s tech stack, promising higher engagement with less manual effort.

OpenClaw is a showcase of this trend: a full‑stack, production‑grade demo that combines a powerful backend, a responsive React front‑end, and seamless integration with large language models (LLMs). By deploying OpenClaw, you get a hands‑on playground to experiment with AI agents, test prompt engineering, and evaluate real‑world performance—all without writing boilerplate code.

“OpenClaw turns the abstract concept of an AI‑agent into a tangible, runnable application in minutes.” – UBOS Engineering Team

Prerequisites – Required Tools, Accounts, Docker, Node.js, etc.

Before you start, make sure your development environment satisfies the following requirements:

• Git (≥ 2.30) – to clone the repository.
• Docker Desktop (≥ 20.10) – the demo runs all services inside containers.
• Node.js (LTS 18.x) – required for the front‑end build step.
• Docker Compose – bundled with Docker Desktop.
• OpenAI API key – for LLM access. Sign up at OpenAI.
• Telegram Bot token (optional) – if you want to test the ChatGPT and Telegram integration.

Having these tools installed ensures the one‑click script can orchestrate containers, install dependencies, and expose the demo on http://localhost:3000.

Step 1 – Clone the GitHub Template

UBOS hosts a curated UBOS templates for quick start that include the OpenClaw demo. Run the following command in your terminal:

git clone https://github.com/ubos-tech/openclaw-demo.git
cd openclaw-demo

The repository contains:

• docker-compose.yml – defines all services (PostgreSQL, Redis, backend, front‑end).
• .env.example – a template for required environment variables.
• deploy.sh – the one‑click deployment script.

Step 2 – Configure Environment Variables

OpenClaw needs a handful of secrets to communicate with external AI services. Copy the example file and fill in your values:

cp .env.example .env
nano .env

Key variables include:

Save the file and close the editor. All subsequent steps will read from this .env file.

Step 3 – Deploy the Stack with the One‑Click Script

The deploy.sh script automates container orchestration, dependency installation, and front‑end compilation. Execute it with:

chmod +x deploy.sh
./deploy.sh

What happens under the hood?

1. Docker Compose pulls the latest images for PostgreSQL, Redis, and the Node.js services.
2. The backend service builds the openclaw-backend Docker image, injecting your .env values.
3. The front‑end compiles the React SPA and serves it via Nginx.
4. All containers are started in the correct order, with health checks ensuring readiness.

If you prefer a visual interface, the script also launches the Workflow automation studio where you can monitor logs and restart services with a click.

Step 4 – Verify the Demo Is Running Correctly

Open your browser and navigate to http://localhost:3000. You should see the OpenClaw landing page with a chat interface powered by the LLM you configured.

To confirm the AI pipeline works:

• Type a simple query like “What is the weather in Paris?” – the backend should forward the request to OpenAI and display a response.
• If you provided a Telegram token, open Telegram, start a conversation with your bot, and send the same query. The response should mirror the web UI.

For a deeper health check, run:

docker compose ps
docker compose logs backend
docker compose logs frontend

Successful logs will show “Server started on port 4000” for the backend and “Compiled successfully” for the front‑end.

Explore the UBOS portfolio examples to see how other teams have customized the demo for e‑commerce, help‑desk, and knowledge‑base use cases.

Why This Guide Matters in the Current AI‑Agent Excitement

Developers and founders are racing to prototype AI agents that can act autonomously, reason over data, and interact via multiple channels. OpenClaw gives you a production‑grade baseline that you can extend in minutes, not weeks.

By leveraging the Telegram integration on UBOS, you can expose your agent to millions of users instantly. Combine that with the Enterprise AI platform by UBOS to scale from a prototype to a multi‑tenant SaaS offering.

The one‑click deployment also aligns with the About UBOS mission: democratizing AI‑driven automation for startups, SMBs, and enterprises alike.

Conclusion & Next Steps

You’ve just turned a GitHub repository into a live AI‑agent demo with a single script. From here you can:

• Customize prompts and add new tool‑calling functions.
• Integrate additional channels (Slack, WhatsApp) using UBOS Chroma DB integration for vector search.
• Monetize the service through the UBOS pricing plans that support usage‑based billing.
• Join the UBOS partner program to get co‑marketing and technical support.

Ready to accelerate your AI product? Dive into the UBOS solutions for SMBs or explore the UBOS for startups track for tailored resources.

If you encounter any hiccups, the Web app editor on UBOS lets you edit the front‑end code directly in the browser, while the Enterprise AI platform by UBOS offers advanced monitoring and scaling.

Start building, iterate fast, and let your AI agents do the heavy lifting.

For more background on the OpenClaw project and its impact on AI‑agent research, see the original announcement here.