
Install OpenCLO, connect to a model, link to Telegram, and configure a 30-minute heartbeat to teach a custom skill with markdown while locking down permissions for a secure autonomous agent.
Provision an Azure Ubuntu VM, install Docker, clone OpenCloud, configure the .env for port 3000, start with docker-compose, and verify the OpenCloud UI is reachable at the public IP:3000.
Build an autonomous agent by crafting prompts and skills. Enable memory recall with a markdown daily notes file and a contract-driven daily brief workflow that saves as a reusable skill.
OpenClaw is powerful—but many tutorials stop at “it runs.” In this hands-on quickstart, you’ll deploy OpenClaw, connect real tools, build one practical automation (Daily Brief + Action Queue), and apply security best practices you can use immediately.
You’ll build an agent you control—running locally with Docker or on a small Linux VM—then ship a reusable workflow that produces value every day. Along the way, you’ll learn how to keep your setup stable, predictable, and safer-by-default by using permissions, secrets hygiene, and simple validation patterns that reduce common risks in autonomous systems.
What we build (hands-on):
A running OpenClaw instance you can start/stop and update
Two connected tools: search + a safe work action (draft-only message/email or post to a private channel)
A reusable skill: run_daily_brief for a Daily Brief and Action Queue
Guardrails: secrets handling, allowlists, and a practical prompt-injection sanity gate
Ops basics: logs, updates, backup/restore, and rollback fundamentals
What you’ll learn:
Deploy OpenClaw locally (Docker) or on a small Linux VM
Configure stable identity + memory so behavior is consistent
Connect tools safely and constrain actions to reduce blast radius
Build a real automation you can reuse and extend
Operate and maintain the system with simple, reliable workflows
This course focuses on practical implementation and fundamentals. It’s designed to be completed in about an hour depending on your experience and setup.