
Experience OpenCLO, a free, open-source AI agent that runs on your server 24x7, connects to apps, executes tasks autonomously, locally, featuring brain memory, self-improvement, and multi-LLM integrations.
OpenCLOU emerged from Peter's open-source vision and burnout recovery, creating a foundation-backed, model-agnostic, self-hosted AI agent platform that runs 24/7, stays independent, private, and community-driven.
Apply a practical framework to choose among OpenCloud, Cloud Code, Cowork, and N8n for autonomous tasks, coding, desktop work, and high-volume pipelines.
Launch the gateway dashboard, log in with your gateway token, and complete bootstrapped.md first run interview to define your agent, name, vibe, and work style; memory is saved.
Hardening your agent's security builds a solid foundation by applying OpenCloud's recommended settings. Enforce strict rules and safeguards to prevent runaway tasks and costs.
Connect your OpenCloud agent to Telegram via the gateway dashboard, create a Telegram bot with BotFather, and pair your account to securely chat with your agent from anywhere.
Understand how API costs work in OpenCloud, including context size, token usage, and Heartbeat implications, then learn to select cheaper models and monitor credits to stay in control.
Explore the gateway dashboard in depth, learning how to monitor chats, manage sessions and usage, and control cron jobs and agent tools from the OpenCloud control UI.
Learn three update methods for OpenCloud—gateway dashboard, agent prompts, and docker manager—and implement practical recovery steps to fix unresponsive agents, revoke API keys, and restore from backups.
Before we dive into models and costs, here's a free PDF guide that covers everything in this section — all your model options, pricing, environment variable names, routing rules, and setup steps. Download it now and keep it handy as you go through the next few lessons
Discover how workspace files shape your OpenCloud agent, with agents.md, sole.md, and user.md, and boost memory through daily journals, persistent memory, and session memory.
Master how to automate your AI agent with cron jobs for scheduled tasks and heartbeat for continuous background monitoring, keeping the heartbeat lean and using a cheap model.
Use code "KRYSTIAN25" at checkout for 25% off any Apify plan for your first 2 months.
Build a structured business context document (user.md) consolidating who you are, your work style, current focus, and how AI should help—foundation level one for your business brain.
Build a daily intelligence digest that automatically compiles your calendar, Gmail, and memory into a concise morning briefing with today's meetings, emails, and top priorities.
Build your own AI employees by creating a second AI brain with Obsidian in the OpenClaw AI agent masterclass.
Learn how to SSH into your server, using a browser terminal or your own computer, to troubleshoot, inspect Docker containers, and run OpenCloud commands from inside the container.
Add a project screen and a document screen to the mission control dashboard, providing a clear view of projects, progress, owners, milestones, and a searchable document archive.
Publish mission control publicly on a domain with https and a password by setting up a reverse proxy on a VPS with Kadi and a self-signed certificate.
The fastest-growing open-source project in GitHub history — already past 350,000 stars — and it's a free, personal AI agent that actually works for you.
If you're a freelancer — imagine waking up to competitor reports, client emails, and task updates already handled.
If you're a business owner — imagine an agent that manages files, browses the web, sends emails, and runs on autopilot while you focus on growth.
If you're a developer or tech enthusiast — imagine building your own mission control dashboard, second brain, and automated workflows with a real AI agent under your full control.
That's exactly what OpenClaw gives you. And this course shows you how to set it up, secure it, and put it to work — from day one.
OpenClaw is a free, open-source AI agent that lives on your own device — your computer, a VPS, or dedicated hardware. You message it through Telegram or WhatsApp like you'd message a friend, and it takes real action: managing files, browsing the web, sending emails, scheduling tasks, running commands, and connecting to all your favourite apps.
In this complete, hands-on course, you'll learn how to install, configure, and secure OpenClaw the right way — even if you've never done anything like this before. This is not just another setup tutorial. You'll go from zero all the way to building real projects, real automations, and your own custom Mission Control Dashboard — step by step.
By the end of this course, you'll have a fully working personal AI agent that runs for you every single day — handling tasks, delivering reports, managing your knowledge base, and saving you hours of repetitive work.
You'll also get 100+ ready-to-use prompts, 10+ detailed PDF guides (including a full AI Models reference, a production deployment checklist, and a second brain setup guide), plus lifetime access to our private student community.
What You'll Learn in This Course:
Section 1: Course Introduction
Understand what OpenClaw is, who built it, and why it matters in the personal AI space
See how OpenClaw compares to Claude Code, Cowork, n8n, and other AI tools — and when to use each one
Discover 6 real-world use cases that show what OpenClaw can do for you right now
Get access to all the tools, links, and resources you need before diving in
Section 2: Setting Up OpenClaw
Choose where to run your agent — locally on Mac, Linux, or Windows, or on a cloud VPS — and set it up from scratch
Install OpenClaw, connect it to Telegram, and launch your agent for the first time
Get a full walkthrough of the gateway dashboard so you feel confident navigating everything
Harden your agent's security and learn how to manage API costs from the start
Section 3: Models & Cost Control
Understand the different AI model tiers, their real costs, and how to pick the right one for your needs
Set up smart model routing and free fallback models so your agent keeps running without burning through credits
Run OpenClaw for free or near-free using local models and open-source alternatives
Section 4: Everyday Features, Integrations & Skills
Use voice mode, organise your Telegram with groups, and install Google Workspace to supercharge your agent
Understand Skills — how they work, how to stay safe, and how they extend what your agent can do
Build your first mini project: a full email automation powered by your agent
Section 5: Real Projects with Your Agent
Set up your agent's workspace files, memory, and identity so it remembers context and works the way you want
Set up cron jobs and use sub-agents so OpenClaw handles bigger tasks on autopilot
Build real projects: a landing page with sub-agents, an automated competitor watch report, and a daily intelligence digest
Create a second AI brain with Obsidian and connect it to your agent for powerful knowledge management
Section 6: Advanced Security
Set up safe remote access to your server with SSH and Tailscale VPN
Protect your agent against prompt injection attacks and keep all connections secure
Get a production deployment checklist so you can trust your agent with real, sensitive work
Section 7: Mission Control Dashboard
Build your own personal command centre with a task board, calendar, projects, documents, and financial tracker
Add a daily standup screen, team view, and memories panel — then customise it to fit your workflow
Access Mission Control from your phone and optionally make it publicly available with Caddy
Section 8: Keeping It Running & Moving Forward
Handle updates, backups, snapshots, and recovery so your agent stays reliable long-term
Troubleshoot common issues and migrate your setup when needed
Find your own use cases, connect with the OpenClaw community, and keep building on what you've learned
Now, why should we teach you this topic?
Damian Danelczyk is an AI Engineer by education, with a degree in AI & Software Engineering and nearly 15 years of hands-on programming experience. He runs his own AI Automation Agency and works with these tools every day — building real systems for real clients. When it comes to OpenClaw, Damian brings the practitioner's perspective: security, architecture, and making things actually work in production.
Krystian Wojtarowicz is an educator and course creator with 45+ courses and tens of thousands of students worldwide. He specialises in translating complex AI and automation topics into clear, step-by-step learning that actually sticks — so you never feel lost, even if this is your very first time working with an AI agent.
Build your own personal AI agent, secure it properly, and put it to work on real tasks — every single day.