NEW Agent OS is INSANE! (Runs 3 Businesses FREE!)

Today we're gonna be answering some of the latest agent operating system questions to help you build your own agent operating system and get the most out of this stuff. Now, if you're not sure what an agent operating system is, this is basically where we've got all of our agents plugged in. So for example, we have like Hermes Jarvis over here. We have a full studio for Hermes.

We have, for example, a pipeline for going from idea to implementation. We also have, for example, an AI agent mastermind group chat where we can have all of our agents working together. So basically you get everything in one place. It's easier to organize your agents.

It's easier to build custom stuff. So for example, like this morning, we've already built a new research tool into our SEO content pipeline so that we can check any website, see what they're ranking for recently, and then also see if there's any new keyword opportunities we could potentially go for. And then once we create the content and automate it with this system, we can deploy it to our website as you can see right here. So it's a super powerful way for getting the most out of your AI agents, organize them together.

I think this is the future in terms of how things will be built. And inside the AI Profitable Room, what I do every single day is answer the questions in a tutorial like this so that I can help you as much as I can. Because I know like, for example, if people have these questions inside our community, probably everyone who watches this sort of stuff has the same sort of questions and we can all help learn and grow together. So we're going to get straight into this and let's start having a look at what we've got of it.

So James asking about the agentic OS here. He said he's moved his primary agent and 25 workers from OpenClaw into Hermes. It was a lot of work, but they all seem to be online, which is pretty amazing. And he's using the Kanban board feature, which is this section over here, right?

And what this means, you can like orchestrate teams of agents, multiple different profiles. You can have a swamp of agents working together and then you can build and automate whatever you want. So for example, if we have a look at this Kanban board, you can see that we automated a blog post and a video fully edited using this whole system. And it works together super simple.

So it's an easy way to like orchestrate your agents and get them working together. So let's see what questions we got here. Here's a question. So he's using the agent profile inside Java.

So he pushes everything through it and he sets everything up in Kanban, but it seems to like forget about stuff or get stuck in the blocker. So what you can actually do is, for example, we give this a new task here. Let's just test this out. So we're going to say like create an SEO keyword research report for topics around agent OS.

And we'll plug that into the system. So we'll add it in here. So now that should get triaged and let's see how it performs. So you can see now the goal has been scoped.

Everything's been scoped here. The research approach has been organized. Here's a deliverable format, et cetera. And then it's actually found an actionable for our content writer to start creating this.

So now it's been put into the running section here and we're good to go. Now, if anything gets stuck, there's two ways to do this. Like you could drag the task over to the to-do list or you could actually comment on there as well. The other option that you have is something gets blocked is you can actually just speak to Hermes directly and say, hey, we set this up inside Kanban, but it's blocked.

How do you fix it? And then you can get Kanban with Hermes sync together and you can get Hermes to fix it. So three options on that. Option one is you can comment on the post.

Option two is you can actually move the Kanban task. And option number three is you can actually speak directly to Hermes and ask it, why is the Kanban task blocked? And can you fix that so it never happens again? And then because Hermes is self-learning, it should unblock itself.

Option number four is you can actually speak to Claude and get it to fix all of that so it runs smoother in the future. That's another option. But we can now see that the keyword research report is now fully created and that is completed, which is awesome. So if we go down here, we can see what's completed and we can see the task and everything else.

So it tends to work smoothly, but you need a good system for this. But those are four options to fix that. Number two, also building his own version of the agentic OS, how to get the agent OS to actually talk to Hermes and all of the agents I have in it, right? So if you want your agents to work together, there's multiple different options for orchestration, right?

So if you want all your agents talking together, I would say there's three main options based on what you said. So option number one is you can use them inside the group chat in the agent mastermind section. So you can see over here, for example, we have this agent mastermind, we can drop in a message and then we have our agents working together inside the group chat. Option number two is you can have them working together inside the pipeline section so that they can build and create together.

And the third option is inside Paperclip, you can actually get your agents working together as a team of agents. So you've got fixes for both questions right there. This is a good question. So Jay is talking about Hermes Workspace.

This is actually one of the reasons I stopped using Hermes Workspace because it doesn't seem to sync properly. So the reason that we actually built the agentic OS is because I found like when you were using, for example, sometimes even if you were using Paperclip or Hermes Workspace or these other open source projects, quite often they didn't sync properly based on the new updates. So that's why I recommend using the agent OS instead. It's definitely saved me a lot of time.

The other thing that I found is like sometimes you would update Hermes Workspace and then the new version wouldn't sync properly to the old version. So for me personally, that's why I use an agent operating system instead and I'd recommend for you to do the same. And we've got that inside the classroom here if you want to get the new version. So you can see when it was last updated, you get the video tutorial and the new zip file to use it.

This is a good question. So Mike is asking about OpenRouter and Fusion. So OpenRouter and Fusion is like a new way of having a panel of models working together. And then they create the outputs.

You have like five different models that answer the same question. The judge critiques the answers from all of these different models. And then that gets fused into one single answer. And you can see some of the stuff we've built here, like just for fun, just to show you what's possible.

And the interesting thing about this is like it's a one-shot model because you don't go back and forth for the API. You just use it once, you build something, you get the answer, and that might take like five to 10 minutes each round. Here's another example of what we built. So this is like an RPG game that we created using Fusion directly.

It's pretty cool. Now, for me personally, I want to use it on the big stuff where you need an amazing answer and you need to basically guarantee like Fable 5 level intelligence answers, right? The biggest reason for that is like it takes about five to 10 minutes for each answer. You have to use the API and also you can't go back and forth with it like you would with a CLI.

So I think it's great for getting a final answer or for a really important decision, but I don't think it's very good for like coding day-to-day. If you actually want to see how it performs, we've got GoldieBench over here and it was one of the best performing models that we've used. So let's open up some examples here. Like created some pretty cool stuff, as you can see.

And when I tested it on benchmarks, it tended to outperform other models using the same sort of problems. So if we have a look over here, here's something else that we built with this system and you can see like the graphics, the way this game plays, how smooth it is, et cetera. It looks really cool. But again, you would only use it for like big builds or maybe like if you wanted to build a new feature into something, you need the best answer and then you go back to using Claude, for example.

So a question from France, he's actually building out an AI project, as you can see. And yes, what are you running Hermes with? Is it your laptop? Is it a home server?

Is it a VPS? For me personally, I run it locally just to keep it sandboxed away from everything, but there's a lot of people running it with a VPS. I've seen that as well. Now, sometimes people have like technical bugs with building this stuff out, as you can imagine, like it's quite an interesting system.

So for example, like we've got this game studio here where you can build stuff and Ritz was struggling to set it up. So this might be based on the model. I can see, for example, you're talking about using Olama, but if Olama doesn't work for you properly, then you can just use a normal API or even a CLI inside that section. Now, if you want to fix that directly with the agent that set it up for you, you could ask them directly, okay, hey, can we change the model inside the game studio to, for example, Claude CLI or to Grok build CLI?

That's the way that I would approach it. So if you don't want to use local models or if the local models are not working for you, just switch the model to a CLI instead and speak to your agent that actually set up for you. Andrew was asking about, sorry, Atom London was asking about what's the best way to enforce output paths for Paperclip, right? So basically, where do you put the stuff that you've created here?

So you can see all this stuff that we've built with Paperclip, which is a way to orchestrate your agents as a team. So you can see, for example, we have a team of AI agents working together with Hermes, and then these will run as a team to build our cool stuff like you can see. Now for this, if you are having issues with the outputs, if you use the skill MD file, I've spoken to the agent that actually built this for you, any path you write in there is a suggestion, not a rule. What you can actually do instead is you can change the working directory in its runtime settings and then point it at the workspace you want.

So you could use relative paths inside your skills, but you change the CWD, working directory, according to the agents. This is a good question from Douglas, who's like looking for a custom build of the agent OS that you can give to clients. So the way that I would set this up is you have all your CLIs that your client uses on the left-hand side, and then you have the agent orchestration section as well. And then what I would do is speak to the client.

I'd actually remove these, you know, these custom workflows over here, and just simplify it so much that the client only has the automations and the stuff they actually want, because really the goal for the client is like to make it simple and as easy as possible to use this agent OS without them finding, you know, loads of bugs or getting distracted or whatever. So for example, if you're looking for something that can track leads, or for example, the video content creation section, I would just build those in. The way that I would approach this person is if you're building an agent OS system for your clients, simplify it as much as you can, and just remove everything that they don't need and only build in what they do need. So for example, you could go to Claude with the zip file for this agent OS and be like, right, my client wants help with lead tracking and SEO.

Can you build those features in? And then you would test them yourself, make sure they actually work, demo it to the client, make sure they sign off in it. And then from there, you're good to go. The goal is to build something simple enough to be easy to use, but also match what they need on the customizations.

Now Sheena has been building out her own version of the agent OS. She's a member inside the AI Profit Boarding. And basically what she's added is two interesting things here. So two upgrades.

And basically what she's done is like taken the agent OS system that we have over here and then customize it exactly how we want, which I think is a fantastic way to use this. So the first customization is adding Comfy UI inside that too, which means like, for example, you can generate videos locally. And then the other option is adding in GLM 5.2. So you can actually build the file, save it to the workspace, and it's good to go.

Let's have a look at the video example here. She's running a, you know, she's got LTX set up there. So that can generate videos. And then she's got this skill section here.

So every time she creates something with GLM 5.2, she can use the skills inside the workspace to build cool stuff. So for example, you could have a custom skill section here where you use that for landing pages, or for example, for generating emails, or, you know, creating any tools. And you can see an example here where it actually uses the skills, which is pretty cool as well. So this is an example that's absolutely awesome for how you can customize the system.

I really like the idea of like having skills for everything you build that save later so you can come back to it. It's kind of like a self learning system that improves every time you use it. Great idea. Tempted to build something like this myself.

Also what I like is like you're sharing the video demo of how it works, which is really inspiring. Also, if you ever want to jump on a, if you're watching this, you want to jump on a call about this sort of stuff, we have a calendar inside the Aircraft Football Room where you can jump on live calls, you can ask questions, you can meet the community. It's a great place to connect with people who are building similar stuff. Another question we got here is from Ritz.

So they were asking like, what's the best model setup for the main paperclip and agent OS operation router? So I would say there's two options for this. The two that I've seen that are the best are Hermes and Claude. So if you don't want to use Claude, then I would go with Hermes and a free API or an OAuth login.

So for example, if you're already subscribed to Twitter, then you get Grok, you can plug that in as the main lead on your paperclip projects. And that can also delegate tasks to local or cheaper models as well. But if you're already using GPT 5.5, I think that's actually pretty good. So you can see here, Mark is already implementing the NA10 classes inside the community and he has three short term goals.

So number one is setting up Obsidian with the shared memory system. Number two is setting up Hermes agent and number three is setting up a dashboard and hierarchy for agents. So this is an awesome way to approach it. I would just focus on one thing at a time.

So for example, this week, you can focus on setting up Obsidian and the shared memory system. It's pretty simple actually. So what you can do, if we have a look over here, this is our Obsidian galaxy here. And we only built this like a couple of months ago, but it just gets better and better every single day because our agents are automatically plugging in what they create.

You can see, for example, we have a new memory here from two hours ago. They plug in what they create inside the system and then our agents can update it and also organize it for us. And if you want to see what that looks like directly inside Obsidian, you've got it over here. So to get started with that, if you want to set up Obsidian ASAP, you can download Obsidian.

Then you can go into whatever agent you're using. So for example, OpenClaw and say, hey, I've set up Obsidian locally. Here's the documentation for Obsidian in terms of how to use it. Every time I speak to you, please update my Obsidian vault or at least do it once per day.

Then you can also tell OpenClaw use Obsidian locally and you can give it the file path and use that as your main memory system. So that when I'm asking you questions, you draw from the Obsidian memory. And when I speak to you, you also update the Obsidian memory. And that's a quick system that you could probably set up in like 20 or 30 minutes today.

And I think it would help you a lot, plus make massive progress on your goals right there. And then from there, you can start working on setting up the first Hermes agent on the next steps. Now Garfield was asking about Notebook LM and we've done some tutorials on it recently, basically where we plugged it into our agent OS system with an MCP. We've got our library of notebooks here.

We've got the research section where we can actually plug in a notebook like so and research it directly. We have the chat, we have the studio where we can generate podcasts or videos or slide decks, whatever we want directly inside this section. And then we also have the assets. So this is stuff we've actually generated.

So for example, if we look at this, this is an infographic created with Notebook LM. We've got the full research report over here and everything that we do inside Notebook LM can be plugged into our agent OS system. So we actually have a tutorial on how to set that up over here. And then if you want the agent OS setup, we've got it here with a video tutorial, the last update and the zip file to use our system.

So it's all inside these sections, as you can see. And I think that's it for all the questions. So if you want to ask me questions like this and I create a video tutorial for you, then you can post your questions inside the AI Profit Boredom community. Link in the comments description or go to the AIProfitBoredom.com.

If you want the full agent OS setup that we have as well, you can grab that inside the classroom too over here. And this community is all about learning, growing, scaling with AI automation. You might say, okay, some of this stuff sounds technical. So what I would say to that is number one, I'm not a programmer or a coder or a developer at all.

I don't understand HTML, honestly, as a language, but I can easily build out something like the agent OS system because we're at the point now with AI where you can build anything that you have an idea for and then Claude can just go off and implement it for you. If you actually look at Claude, for example, Anthropic, I think 80% of their code now is generated by Claude. So even their best developers don't code directly. They use Claude to help them.

And I've also seen like, for example, we've got 186 pages of wins, reviews, testimonials of the AI Profit Boarding from community members. You can see, for example, like Rick, he joined the school group and within 30 minutes, he'd already set up the agent OS system. You can see Jose as well, he set up within one day. Like this is pretty easy to set up and we've tried to make it as simple and easy as possible to install an agent operating system.

So if you want to get my system, I mean, you could set up your own if you want, but if you want to get my system, you can get it all inside here. So I hope to see you inside the next one. Cheers for watching.