One‑Click Deploy OpenClaw: Step‑by‑Step Guide

You can launch the production‑ready OpenClaw full‑stack demo in minutes with a one‑click deployment, provided you follow the prerequisite checklist, clone the repository, configure the required environment variables, and run the supplied Docker‑Compose commands.

Why OpenClaw Matters in the Age of AI‑Agents

OpenClaw is a low‑code, AI‑enabled full‑stack demo that showcases how autonomous agents can orchestrate data pipelines, chat interfaces, and real‑time analytics without writing a single line of boilerplate code. With the current hype around AI agents—ChatGPT, Claude, and emerging multimodal assistants—developers and founders are hunting for ready‑made playgrounds that prove concepts quickly. OpenClaw delivers exactly that: a production‑grade environment that you can spin up, experiment with, and extend using the UBOS platform overview.

By deploying OpenClaw today, you not only get a hands‑on demo of agentic workflows but also a template that can be customized into a SaaS product, a proof‑of‑concept for investors, or a sandbox for your engineering team. The demo integrates with OpenAI ChatGPT integration, Chroma DB integration, and even voice capabilities via the ElevenLabs AI voice integration. All of this is orchestrated by UBOS’s Workflow automation studio, which lets you drag‑and‑drop agent steps without touching Dockerfiles.

Prerequisites – What You Need Before You Start

Before you hit the “Deploy” button, make sure your workstation or CI environment satisfies the following hardware and software requirements.

If any of the items above are missing, install them now. For Docker, follow the official Docker installation guide. Node.js can be installed via nvm or the official Node.js download page.

Step 1 – Clone the OpenClaw Repository

Open a terminal, navigate to the directory where you want the project to live, and run the following command:

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

The repository contains:

• Docker‑Compose files for the API, database, and UI services
• Sample agent definitions written in YAML
• Configuration templates for environment variables
• Utility scripts for seeding demo data

After cloning, you can explore the README.md for a quick overview, but the rest of this guide will walk you through the exact steps needed for a production‑ready launch.

Step 2 – Configure Environment Variables

OpenClaw relies on a handful of secrets and API keys. Create a copy of the example file and fill in the values:

cp .env.example .env

Edit .env with your favorite editor (e.g., nano .env) and set the following variables:

Save the file. If you plan to use additional agents (e.g., Telegram bots), also set TELEGRAM_BOT_TOKEN and TELEGRAM_CHAT_ID as described in the Telegram integration on UBOS.

Step 3 – One‑Click Deployment with Docker‑Compose

UBOS provides a single command that pulls all images, creates the network, and starts the services:

docker compose up -d

The command performs the following actions:

1. Downloads the PostgreSQL image for persistent storage.
2. Pulls the OpenClaw API container, which hosts the agent runtime.
3. Starts the React‑based UI on port 3000.
4. Initializes the Chroma vector store and connects the ElevenLabs voice service.

You can monitor the logs in real time with:

docker compose logs -f

If any container fails to start, double‑check the .env values and ensure no other process is occupying ports 5432, 8000, or 3000.

Step 4 – Verify the Demo Is Running

Once Docker reports all services as healthy, open your browser and navigate to http://localhost:3000. You should see the OpenClaw dashboard with the following sections:

• Agent Explorer – visual graph of the pre‑built agents (e.g., “Customer Support Bot”).
• Data Lake – preview of sample documents indexed in Chroma DB.
• Voice Console – test the ElevenLabs voice synthesis in real time.

To confirm the AI integration, click the “Run Sample Query” button. The system will send a prompt to the OpenAI model, retrieve relevant vectors from Chroma, and read the answer aloud using ElevenLabs. If you hear a natural‑sounding voice response, the stack is fully operational.

“The OpenClaw demo proved that a full‑stack AI agent pipeline can be spun up in under ten minutes—perfect for hackathons or early‑stage MVPs.”

Need a Production‑Grade Host? Follow the Detailed Guide

For cloud deployments, scaling, or custom domain configuration, refer to the OpenClaw hosting guide. It walks you through deploying on AWS ECS, Azure Container Apps, or a self‑managed VPS while preserving the same one‑click experience.

Expand Your AI Toolkit with UBOS

OpenClaw is just one of many AI‑powered solutions on the UBOS ecosystem. Here are a few resources you might explore after the demo:

What’s Next? Community, Extensions, and AI‑Agent Opportunities

Now that you have a live OpenClaw instance, consider the following next steps to keep the momentum going:

1. Customize agents. Edit the YAML definitions in /agents to add new data sources or switch the LLM model.
2. Integrate Telegram. Follow the ChatGPT and Telegram integration to let your agents respond to messages in real time.
3. Monetize with templates. Publish your custom agent as a template in the UBOS partner program and earn revenue.
4. Join the community. Share your experience on the About UBOS forum, ask questions, and discover use‑cases from other founders.

The AI‑agent landscape is evolving rapidly. By mastering OpenClaw now, you position yourself at the forefront of a wave that’s reshaping everything from customer support to autonomous data analysis. Whether you’re a solo developer, a startup CTO, or an enterprise architect, the skills you acquire here will translate directly into faster product cycles and more compelling AI‑driven experiences.

For background on the original OpenClaw announcement, see the original announcement.