OpenClaw + Codex + ClaudeCode Is INSANE!

Key Takeaways

Open Claw, plus Codex, plus Claude code is insane. Open Claw just changed everything. What if you could run a whole team of AI coding agents all at the same time from your own machine? No subscriptions, no limits, just pure automated power. This thing builds apps, writes code, fixes bugs, and deploys while you do nothing. And today I'm showing you exactly how it works. So, here's what's happening right now in February 20 season of 26. There's a tool called Open Claw. And when you combine it with Claude code and Codex, you get something that honestly feels like cheating. Multi-agent AI swarms. Think about that for a second. Not one AI, not two AIs, a whole swarm of specialized AI agents each doing a different job all working together all at the same time. One handles your back end, one handles your front end, one reviews the code, one pushes it to GitHub. And you, you just give the instruction and watch it happen. That's what we're talking about today. And I'm going to show you how you can set this up, what it actually does, and how we're already using this kind of automation to grow the AI Profit Boardroom. Stay with me because this gets wild. Hey, if we haven't met already, I'm the digital avatar of Julian Goldie, CEO of SEO agency Goldie Agency. Whilst he's helping clients get more leads and customers, I'm here to help you get the latest AI updates. Julian Goldie reads every comment, so make sure you comment below. Okay, so let's break this down simple. Open Claw is an open-source, self-hosted AI agent gateway. That means you run it on your own machine, you own it, you control it. No one's watching, no one's charging you per task. It's built in Go and Node.js, so it runs fast. And it connects to tools like Claude code, Codex, browser automation, search, and more. Now, here's where it gets interesting. Claude code is Anthropic's terminal-based AI coding tool. You run it from the command line, and it can read your code base, write code, fix bugs, run tests, and push commits. Codex is OpenAI's coding model, seriously powerful for back-end logic, complex algorithms, and heavy computation. On their own, both of these are already insane, but when you plug them into Open Claw, that's when the magic happens. Open Claw acts as the brain. It takes your instruction, figures out what needs to happen, and then spawns specialized sub agents to go do it. So, let's say I want to build a new landing page for the AI Profit Boardroom, something that explains the value of AI automation, shows why our community is worth joining, and converts visitors into members. I give Open Claw one instruction, something like this. Build a high-converting landing page for the AI Profit Boardroom. It should explain how AI automation helps businesses get more customers, save time, and scale faster. Include a clear headline, benefit section, testimonial section, and a call to action. Open Claw takes that and does something incredible. It spawns Claude code to handle the front end, the design, the HTML, the CSS, the animations. It spawns Codex to handle any back-end logic, form submissions, API connections, tracking. It sets up isolated Git trees, so each agent works in its own branch. Then it runs automatic code reviews between agents. Then it merges everything and gives you a finished product. That whole process, automated. No back and forth, no copy-pasting, no checking every line. Just done. By the way, if you want to go deeper on AI automation tools like Open Claw and see how we're using them to build real systems for real businesses, check out the AI Profit Boardroom. It's the best place to learn how to use AI automation to get more customers, save hundreds of hours, and scale your business faster. We share the exact tools, workflows, and systems we use. Not theory, actual working automations. Link is in the comment and description. Now, let me show you some of the specific things this can do. The latest version, V2026.2.19, dropped recently, and it's packed with updates. Sub-agent spawning is now built in. You know, you type "large sub-agents spawn", and you can create specialized agents for specific tasks on the fly. Context windows hit 1 million tokens, which means these agents can now hold an entire code base in their working memory at once. No more losing context halfway through a complex build. They've also patched some serious security vulnerabilities. There were risks around credential theft with previous versions, and those have now been fixed, which is important because you're running this on your own machine with API keys and access tokens. Cron jobs are now enhanced, so you can schedule agents to run on a timer, wake up, and your AI team has already done a night's worth of work, and the whole system is 25 to 40% faster for agent orchestration than it was before. That's not a small number, that's a massive jump. Here's a real example of how we'd use this. Let's say I want to build an automated content pipeline for the AI Profit Boardroom. The goal is to pull trending AI topics, write summaries, format them for our community platform, and post them automatically. I'd create a master agent with a prompt like this. You are the content manager for AI Profit Boardroom. Your job is to find the top five AI news stories every week, summarize each one in plain language, format them as posts for our school community, and schedule them to publish Monday morning. Then Open Claw spawns sub-agents. One agent uses the browser tool to search for trending AI news. One agent uses Claude code to format the post in the right template. One agent uses a cron job to schedule the publishing. All automated, all running in the background, all saving hours of manual work every single week. That's the kind of system we're building inside AI Profit Boardroom. Real automations, real time savings, real workflows that let you scale without burning out. And this isn't just for coding. Open Claw supports Telegram, Discord, and WhatsApp channels, so you can literally message your AI agent on your phone and tell it what to do. Imagine being out, sending a quick message on WhatsApp saying, "Update the FAQ page on the AI Profit Boardroom site with the new pricing info." And by the time you get home, it's done. Push to production, live. That's not science fiction, that's Open Claw right now. Now, I want to talk about the multi-agent swarm piece more because this is the part most people don't fully understand yet. Most people think of AI tools as single-player. You ask one AI a question, it gives you an answer, you copy it, you move on. That's fine, that works, but it's slow. The next level is multi-agent, where different AIs have different specialties, and a master system coordinates them. Think of it like running an agency. You don't do everything yourself. You have people who specialize, a designer, a developer, a strategist, a project manager keeping it all together. Open Claw is the project manager, Claude code is your front-end developer, Codex is your back-end engineer. And together, they ship work faster than any one of them could alone. This is how serious teams are going to build things in 2026 and beyond. And the people who figure this out now are going to be miles ahead. Let me get into setup because I know you want to know how to actually run this. Open Claw is open-source, that means free. You go to the GitHub repo, clone it, and run it locally. You'll need Go or Node or JS installed on your machine. Once it's running, you connect your API keys. Anthropic for Claude code, OpenAI for Codex, Open Router if you want to use other models. Then you set up your channels. If you want to control it from Discord, connect your Discord bot. If you want WhatsApp, connect that. Then you create your first agent with a simple starting prompt like this. You're a web development agent for the AI Profit Boardroom. When given a task, break it into steps, assign sub-tasks to specialized sub-agents, and report back when complete. From there, start giving it real jobs. Start small. Ask it to write one function, fix one bug, build one component. See how it works, get comfortable with how it delegates, then scale it up. There's also a skill marketplace inside Open Claw now, and this is big. You can install pre-built agent skills, voice transcription, so your agent can understand audio, mobile camera integration, so it can process images, web scraping templates, automation blueprints. You don't have to build everything from scratch. You pull in a skill, plug it into your agent, and it immediately knows how to do that thing. Now, if you want to dive even deeper into AI automation, I've got something special for you. I run a community called the AI Profit Boardroom, the best place to scale your business, get more customers, and save hundreds with AI automation. Learn how to save time and automate your business with AI tools like Open Claw. And if you want the full process SOPs and 100-plus AI use cases like this one, join the AI Success Lab. You'll get all the video notes from there, plus access to our community of 45,000 members who are crushing it with AI. The link is in the comments and description.