Andrii Bidochko

• Updated: March 22, 2026
• 2 min read

Building a Workflow‑Automation AI Agent with the OpenClaw Full‑Stack Template

Guide: Building a Workflow‑Automation AI Agent with OpenClaw

In this tutorial we walk developers through creating a powerful workflow‑automation AI agent using the OpenClaw full‑stack template. The steps cover environment setup, defining workflow steps, integrating external services, and one‑click deployment on UBOS.

1. Environment Setup

Start by installing the UBOS CLI and cloning the OpenClaw template:

curl -sSL https://ubos.tech/install.sh | bash
ubos init openclaw-agent
cd openclaw-agent

Install the required dependencies:

npm install
pip install -r requirements.txt

2. Defining Workflow Steps

The OpenClaw template ships with a workflow.yaml file. Define each step of your AI agent, for example:

steps:
  - name: fetch-data
    action: http.get
    url: https://api.example.com/data
  - name: process-data
    action: python.run
    script: scripts/process.py
  - name: generate-response
    action: openai.chat
    model: gpt-4

3. Integrating External Services

Use the built‑in integrations/ folder to add connectors. For a Slack notification add:

integrations/slack.yaml:
  webhook_url: "YOUR_SLACK_WEBHOOK"
  channel: "#alerts"

Reference the integration in a workflow step:

- name: notify-slack
  action: slack.post_message
  config: integrations/slack.yaml

4. One‑Click Deployment on UBOS

When the workflow is ready, commit your changes and push to the UBOS registry:

git add .
git commit -m "Add workflow"
git push ubos main

UBOS will automatically build and deploy the agent. You can monitor the deployment from the UBOS dashboard.

5. Publish Your Agent

After deployment, expose the agent via a public endpoint. The UBOS platform provides a secure URL you can share with users.

For a deeper dive into hosting OpenClaw on UBOS, see the dedicated guide: Host OpenClaw on UBOS.

Congratulations! You now have a fully functional workflow‑automation AI agent running on UBOS.

Andrii Bidochko

CTO UBOS

Andrii Bidochko is an AI entrepreneur and researcher focused on AI agents, reinforcement learning, and autonomous systems. He writes about the technologies shaping the future of machine intelligence, from frontier models and agent architectures to real-world AI applications.