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OpenClaw Quickstart: Build Your First Autonomous Agent
Rating: 3.4 out of 5(7 ratings)
196 students

OpenClaw Quickstart: Build Your First Autonomous Agent

Deploy OpenClaw, connect real tools, build one reusable automation, and apply security guardrails you can actually run.
Created byLuca Berton
Last updated 2/2026
English

What you'll learn

  • Deploy OpenClaw locally (Docker) or on a small Linux VM on Azure
  • Configure stable identity + memory so the agent behaves consistently
  • Connect 2 tools (search + a safe “work” action like draft-only messaging)
  • Build a real automation: Daily Brief + Action Queue
  • Add practical guardrails: secrets hygiene, allowlists, prompt-injection sanity gate
  • Operate it: logs, updates, backup/restore, rollback basics

Course content

1 section6 lectures44m total length
  • Outcome + Architecture3:32

    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.

  • Fast Deploy: Docker Local or Ubuntu VM on Azure10:48

    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.

  • AI Models Troubleshooting4:01
  • Identity + Memory That Doesn’t Rot10:50
  • Connect Tools8:55
  • Build the automation: Daily Brief6:47

    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.

Requirements

  • Basic terminal comfort (copy/paste commands)
  • Docker or a small Ubuntu VM
  • Optional: API key for search (you’ll also provide a no-key fallback)

Description

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.

Who this course is for:

  • Builders who want a self-hosted agent they control
  • DevOps / platform / automation engineers
  • Technical founders / operators who want repeatable workflows