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What Is OpenClaw? - Explained for Beginners

📺 ดูคลิป · 👁️ 203,696 views · 📅 2026 · ⏱️ 7:54 · 🤖 AI Agents / Vibe Coding / Automation

📌 สรุป

คลิปนี้อธิบาย OpenClaw สำหรับผู้เริ่มต้น — OpenClaw คือ AI assistant ที่ host เองบนเครื่องหรือ VPS เชื่อมต่อกับ API model เช่น OpenAI หรือ Anthropic แล้วทำงานอัตโนมัติ 24/7 ผ่าน Skills และ Jobs โดยไม่ต้องคอยพิมพ์คำสั่งทุกครั้ง คลิปครอบคลุมหลักการทำงาน วิธี deploy บน VPS วิธีติดตั้ง Skills และตั้ง Jobs รวมถึงเตือนเรื่อง security

🔑 ประเด็น / ขั้นตอนหลัก

🛠️ เครื่องมือ / บริการ / ลิงก์ที่พูดถึง

💡 เอาไปใช้ / ข้อสังเกต


📄 Transcript เต็ม (English, 1,622 คำ)

Everyone is talking about OpenClaw right now and I keep seeing the same question. What is it and what does it actually do? In this video, I'll break it down so it's easy to understand. I'll explain why it's popular and what it does that most AI tools don't. And by the end, you'll know if it's something you should set up and where to start. So, let's start with the basics. What even is OpenClaw? OpenClaw is a self-hosted AI assistant you run on your own machine or VPS. And to actually power it, you connect it to an AI model like OpenAI or Enthropic using API keys. Now, that sounds great, but let me show you what it actually looks like in real life. In most cases, the pattern is always the same. First, you install a skill. Then, you create a scheduled job for your assistant to perform. Then, your OpenClaw assistant performs the job and delivers you the result. For example, let's say I connect my Gmail account to OpenClaw by using a Google Workspace skill. Then, I create this job. Ping me on Telegram when this specific client emails me. Include a one-s sentence summary and a suggested reply. Now, instead of digging through my email inbox and potentially missing an email from a high-value client, I just get the summarized message when it actually matters from my assistant. Now, let's say I connect a GitHub skill to OpenClaw. Then, I create the job. Every morning at 9:00 a.m., send me the top three things in my repositories that need attention and tell me what I should do first. Now, I start the day with a clear list instead of opening GitHub and trying to figure out where to begin. And here's one more. Let's say I connect a social media skill. We'll use x.com as an example. Then I create a job. Every morning, check the top trending keywords in my niche, pull the most relevant ones, and send me three content ideas. Now, if you're a content creator, you can use that info from your assistant to spot new topics and viral video ideas early. If you're a marketer, now you can easily track trending keywords for SEO and ads. And if you're just someone who's into tech or news, it keeps you up to date without having to scroll on social media all day. Now that you've seen a few real examples, here's the simple way to think about it. You connect OpenClaw to the apps you already use, like Gmail, Slack, Telegram, GitHub, or Discord, for example. Then you install Skills and schedule jobs to solve real problems you deal with every day. And you let your assistant handle the repeat work in the background all on its own. And this is where it starts to feel different than using the chat GPT or clawed apps as an assistant. Instead of juggling multiple conversations within their apps and constantly prompting the chatbot to do everything, with OpenClaw, you have one assistant that stays online 24/7 that can act on its own and gets more useful over time. And because you host it yourself, you control what it connects to, what it can access, and what you want it doing on a day-to-day basis. So now the real question is how do you set up OpenClaw? You can set up OpenClaw on pretty much any machine you own, a spare laptop, a desktop PC, and right now Mac minis are super popular for this, but for beginners, those options can be a bit inconvenient. You're usually dealing with things like keeping the machine on 24/7, port forwarding, and making sure your setup stays stable. And they could be unreliable because the moment your computer sleeps, restarts, or your internet goes down, your assistant goes offline, too. The main requirement is simple. Wherever OpenClaw is running, it needs to stay online 24/7. And that's why most people end up using a VPS instead. A VPS or virtual private server is basically a computer in the cloud that stays online 24/7. So your assistant is always there when you need it. And once you have that, deployment is pretty straightforward. You deploy OpenClaw using Docker, which is just a way to install and run it without manually setting up everything from scratch. My preferred way to do this is by getting a VPS through a hosting provider called Hostinger. Hostinger has a one-click openclaw template. So, even if you've never used Docker or deployed a web app before, you can get it running in just a few minutes. If you want to use that one-click openclaw template and get the lowest pricing possible on your VPS, make sure you use the first link in the description. Using that link will take you to the correct setup page for this exact process and automatically get you the lowest price possible. After that, you add your API keys, which is what OpenClaw uses to actually generate responses. This part is usage based, so keep in mind you're paying for the AI credits as you use it. Then you'll do some dashboard configuration, connect it to the apps you want to use, like Telegram, and set up skills like Google Workspace, so it can begin integrating with your workflow, and start assisting you with your daily tasks. And the nice part is you don't have to figure all of this out on your own. Once OpenClaw is running, you can literally ask it to help you connect things and walk you through the next steps. And if you want to follow the exact setup I recommend, I actually just made a full step-by-step tutorial that shows you the easiest way to deploy OpenClaw, connect everything, and get your assistant working the right way. You'll find that video linked in the description down below. Earlier, I showed you the basic OpenClaw pattern. Connect a skill, set a job, and get the result. Skills are the first part of that equation. Skills are basically what let openclaw connect to new apps and do new types of work. If you want to find skills for your assistant, there are two main places that people look. First is Claw Hub. That's where people publish and discover new skills for OpenClaw. Second is the GitHub skill directory, which is basically a big list of skills you can browse, research, and install. I'll link both of these resources in the description as well. Before you install any skills, please be careful of what skills you install, even if they're from Claw Hub or the GitHub directory. People are currently publishing skills with malicious intent hidden inside them. You could accidentally install a skill designed to steal your information, scrape data from your VPS, or in general do things you definitely don't want happening in the background. So, do your research and make sure you always understand what you're installing. Okay, next. How do you install skills? Installing a skill is usually pretty simple. Most of the time you just copy the GitHub link to the skill you want and message your assistant something like install this skill and then paste the link. It's as easy as that. Then OpenClaw will try to install it. And if anything breaks or goes wrong, you can ask your assistant to help troubleshoot it and get it working properly. Once you've got a few skills installed, the next step is telling your assistant how and when to use them. And that's what jobs are for. Jobs are scheduled tasks. So, OpenClaw can run something automatically on a schedule without you having to message it first. The most common way to do this is within OpenClaw and by using something called cron jobs, which is just a simple taskuler that's located in the dashboard. A great first job to set up is a daily summary. For example, have it check your Gmail and Google Calendar once a day, then send you a quick update on what's new. From there, the best way to improve your setup is to keep it small. Anytime you notice yourself doing the same thing over and over, it's a good opportunity to create a new job for your assistant. And over time, once it's configured to your workflow, OpenClaw starts to feel less like a tool and more like something that's actively helping you stay on top of things. It's worth mentioning that one of the biggest concerns right now regarding OpenClaw is the security aspect of it. OpenClaw is autonomous and that's what makes it different, but it also means you need to take security very seriously. If you connect it to things like your personal email, calendar, contacts, or files, it has real access. And if someone gets your API keys or tokens, they could take over your entire setup, run actions you didn't approve, and cost you a lot of time, stress, and potentially money. Start small, be smart, do your research, and only connect and install what you actually need. And most importantly, keep your keys and tokens 100% secure. Take your time as you learn, and increase security as you go. Now, if you're ready to actually set this up for yourself, you'll see a step-by-step setup tutorial for OpenClaw appearing on screen right now, and it's also linked down in the video description. That video will walk you through the full setup from start to finish, so you can go from nothing to a fully working AI assistant in only a few minutes. Thanks for watching and if you decide to check out that tutorial, then I'll see you

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