Claude + Agent OS. Build anything for free!

Claude Plus Agent OS. Build anything for free. That's the whole video. By the end you'll know how to set up your own AI command center with Claude code running inside it to start.

Let me show you what that actually means. Right now most people use Claude code one way. They open a terminal. That black box on your screen with the blinking line.

They type a command. The agent builds something. And then they're kind of stuck. Because the terminal is good at building but it's bad at showing you what it built.

So you ask it to make a web page. It makes the page. But where is it? You have to go dig for the file.

You have to open it somewhere else. You lose track. You start a new chat and the agent forgets everything you told it last time. That's the problem.

And Agent OS fixes it. Agent OS is like a home for your AI agents. Think of it like the home screen on your phone. Your phone doesn't make you open a separate device for each app.

They all sit in one place. You tap one. You tap another. They all share your stuff.

Agent OS does that for AI. Claude code sits in there. Right next to other agents like OpenClaw, Hermes, Codex, Gemini and more. They all live in one window.

You build with one. You research with another. You make images with another. And you never lose your place.

Here's the part people don't expect. You can run a lot of this for free. Normally you'd think Claude code only works with Anthropic's own models on the paid path. But the harness, the part that does the work, can point at free models instead.

You can keep the Claude code style experience and run it with free models like our alpha through OpenRouter. OpenRouter is just a service that lets you plug into lots of different AI models from one spot. Some of them cost nothing to test. So the picture looks like this.

The free model is the brain. Claude code is the hands. Agent OS is the house they live in. You put them together and you've got your own build system that didn't cost you anything to start.

Let me make this real with one example. Say you want a simple landing page for AI profit boardroom. You tell the agent, build me a clean landing page that explains what my AI automation community does and gets people to join. It writes the page.

And inside Agent OS you can see it right there. You preview it in the window. You don't go hunting for files. That's the magic loop.

Prompt. Build. See it. Fix it.

Save it. All in one place. Now why does seeing it matter so much? Because building isn't just writing code.

You need to see the result. You need to test it. You need to improve it. The plain terminal makes that hard.

Agent OS makes it fast. You can go from prompt to output to preview to revision without jumping between too many tools. And here's a question you're probably having right now. Okay but if I'm using a free model instead of the real Claude, am I stuck with it forever?

No. And this is the smart part. The model isn't glued in. If our alpha stops being free or another model becomes better, the architecture can stay the same while the model changes.

You build the system once. You swap the brain whenever you want. New free models come out all the time. Your setup just keeps working.

Think about that for a second. Most people build their whole workflow around one tool. Then that tool changes its price and they're stuck. You won't be.

You own the workflow, not the model. Let me pause here for a quick word. If you're watching this and thinking, I want to build this but I don't want to get stuck on the setup, that's exactly what we do inside the AI profit boardroom. We have a step-by-step build call every week where we walk through setting up your own Claude agent OS live.

We show you which free model to plug in, how to wire it up and how to fix it when something breaks. There's a 30-day roadmap built around this exact setup so you're never guessing what to do next. And there are 2,800 business owners in there right now, a lot of them running this same Claude workflow to build their own tools and pages without hiring anyone. If you want to save time and build your own AI command center the right way, the link's in the comments and description or go to aiprofitboardroom.com.

Okay, back to it. So far we've got Claude code, a free brain and a home to build in. But there's one more piece that turns this from a cool toy into a real system. Memory.

Here's the thing most people miss. Without memory, your agent starts cold every single time. You explain the project again. You explain your business again.

You explain your brand voice again. Over and over. That wastes so much time. The fix is to give it a memory vault.

A lot of people use a free tool called Obsidian for this. Think of Obsidian like a notebook your agent can read from and write to. It can store notes, project context, client information, brand details, workflows, and previous decisions. So now your agent remembers.

It knows your business. It knows how you like things. It knows what you built last week. The agent is no longer starting from a blank page every time.

And that changes everything. Because now the work stacks up. Memory is what turns repeated work into compounding work. Every project you do makes the next one easier.

The agent gets smarter about your stuff the more you use it. Here's a simple way to picture it. The first time you ask the agent to write something for your business, you explain who you are. With memory you only do that once.

Next time it already knows. It just writes. Now let me walk you through how you'd actually use this day-to-day. Because this is where it clicks.

Say you run an online community and you want more people to find it. You open AgentOS. You tell Claude Code, build me a simple page that shows what people get when they join with a clear button to sign up. It builds it.

You preview it right there. You see something you don't like. You say make the headline bigger and add a section about the weekly coaching calls. It fixes it.

You save the project to a folder. Done. Next week you come back. The project is still there.

The memory knows your brand. You say make a second version of this page for a different audience. And it just goes. No re-explaining.

No starting over. That's the loop. And once you feel it, the terminal only way feels slow. Here's another question you might have.

Isn't this going to be super hard to set up? I'm not technical. It's easier than you think. The hard part used to be the setup.

But with the right files and prompts, you mostly just connect a few things. It can be much easier when you have the right files, prompts, and guide. And here's my honest advice on where to start. Don't try to build a giant system on day one.

Start with a small app, landing page, dashboard, html page, calculator, or workflow tool. Pick one small thing. Build it. Preview it.

Save it. Once one build works, you can add obsidian memory. Then you can add more agents. Then you can build bigger workflows.

That's the path. One working build beats one giant unfinished mess every time. The goal is not to impress yourself with complexity. The goal is to ship something useful.

Let me give you the full picture of why this matters. When you have all your agents in one place, it stops being a pile of random tools. It becomes a command center. You are managing a fleet of agents from one place.

One agent builds. One does research. One makes images. They all share the same memory.

They all sit in the same window. And the point isn't to collect tools just to have them. The goal is to orchestrate the right agents for the right tasks. Each one has a job.

You're the one running the show. This is a real shift in how AI work feels. Instead of 10 browser tabs and 10 logins and copying stuff back and forth, you've got one home. Everything talks to everything.

Your memory carries across all of it. Now let me clear up a few things people get wrong about this. First myth. People think clawed code only works with anthropics models.

Not true. A compatible harness can talk to any model that supports the right API format. Second myth. People think free models are useless for this kind of work.

Also not true. Models like our alpha offer long context and tool use. Long context just means the model can hold a lot of information at once without forgetting the start of your project. Third myth.

People think the setup is scary. It's not once you have a guide. Fourth myth. People think going off the normal path means you lose memory.

The opposite is true. Inside AgentOS, memory can actually become stronger because Obsidian stores everything in a structured vault. Fifth myth. People think if one model disappears the whole thing breaks forever.

Nope. The model swaps out. The system stays. So let's tie it all together.

You start with clawed code. You point it at a free model through OpenRouter. You drop it inside AgentOS so you can see and preview everything you build. You connect Obsidian so it remembers your business.

And you sit it next to your other agents so you've got a full command center. That's your own AI build system. And the first version can cost you nothing to test. Here's why I think this is worth your time.

The people who learn to build like this now are going to be way ahead. Not because they're smarter. Because they started while it was still new and still simple. The tools are only getting easier.

The window where this is a real edge is open right now. You don't need to code. You don't need a team. You need one small build to get going and a clear path to follow.

And that's exactly what we set up for you inside the AI Profit Boardroom. Every week we run a live build call where we put together this clawed AgentOS step by step so you can follow along and copy it. We hand you the prompts to build pages, tools, and workflows for your own business. We've got a 30-day roadmap that takes you from your first tiny build to a full command center with memory wired in.

And you're doing it next to 2,800 other business owners who are building the same way. So when you get stuck, someone's online to help day or night. If you want to save time and build your own free AI system the right way, the link's in the comments and description or just go to AIProfitBoardroom.com. And if you want the full process, the step-by-step setups, and over 100 AI use cases just like this one, come join the AI Success Lab.

It's our free community. Links are in the comments and description. You'll get all the notes from this video in there plus access to 67,000 members who are building cool stuff with AI every day. That's Clawed plus AgentOS, a free build system you own.

Go make your first build today.