AI News Today
← All episodes
Episode 99 · August 2, 2026 · 14:50

Hermes Agent OS Just Changed AI Agents Forever!

Build a 24/7 Agent Operating System with Hermes + Claude (Brain, Mission Control & Memory)

The script demonstrates an Agent OS built with Hermes and Claude that turns a standalone AI agent into a “24/7 AI employee” by adding three layers: the brain (Hermes plus the models it uses, including optional free/local models), mission control (a single dashboard with buttons for chat, voice, agent teams, Kanban-style tasking, and a workspace where builds are saved), and a memory layer (an Obsidian notes vault agents read/write so sessions start with full context). It contrasts fragmented multi-tab workflows with a unified system where models are swappable without losing context, history, or running jobs. Examples include custom workflows for video creation, a voice agent that can control the computer, an “Oracle” that monitors news and competitors, drafts and publishes WordPress posts, and automated SEO/content production. The system and install zip are offered via the AI Profit Boardroom with tutorials, community support, and coaching.

Full transcript

Today, I'm going to show you the agent operating system that basically automates everything for us. So this is running with Hermes and Claude as an agent operating system. And basically, Hermes is the most powerful AI agent you can run right now, but only if you build these three layers around it. And if you skip them, your Hermes is basically just a smart chat window.

But the good news is, even if you've already set up Hermes already, adding these three layers I'm going to run you through today turns it into a 24-7 AI employee that knows your business and never forgets a thing. So it works 24-7. It gets smarter every single day. And the whole thing can be built, as I'm going to show you today, with custom workflows as well.

So by the end of this guide, you're going to have the full blueprint, the brain, the mission control and the memory system. And the third layer is really the one that changes everything. Most people skip it, but it's exactly why that agent doesn't work properly as a stack. So the problem here, right, and this is why it's so important to understand, is like a chat window is not an operating system, right?

And the pattern that I see over and over again is like someone's using Claude or they're using Hermes agent, for example, they install an agent, it's impressive for a day, and then reality hits, right? Every session starts from zero, every job you need needs you present, type in, you close your laptop, everything stops a week later. You just sort of abandon the agent that you're using. Now, if you compare that to machine that you're using this system on, right, then you have a full system of all your agents orchestrated together, and you have different layers plugged in.

So an agent alone forgets everything, it needs you to be there to babysit it, it stops when the laptop closes. The agent OS system remembers everything about you, your brand, your business, your goals. It's got one dashboard and jobs just keep running whilst you sleep, right? And the great thing about this is like, if you're using an agent OS, like you see right here, we can visualize our memory galaxy.

So these are all our memories plugged in together. And so all of our agents, so for example, like Claude, Hermes, whatever agent we plug into this stack has our context ready to go inside there. Now, also, this is way more useful than, for example, like going over to Buzz, and then going over to Claude, and then opening up chat, GPT or Codex in another tab, which is super messy and time consuming and very fragmented. Instead, you want to plug them all into one system where they all work together.

And then also the great thing about this is it doesn't matter what model comes out, like GPT 5.6 could release something new, like they actually did today. No problem, we can plug it into Codex right here. Claude Fable 6 comes out, we don't need to panic. We can just plug it straight into our Claude setup right here, right?

And so everything is controlled, and you're not really worried about the models are trying to play catch up or getting shiny object syndrome. You've got everything ready to go inside one system that just improves every day, no matter what. Now, also, what I like about this is we can build our own custom workflows in this, right? So, for example, we have a video agent over here that can create amazing videos automatically with our video setup, as you can see, right?

And so this has, for example, a voiceover setup. It has, for example, a fully edited video. This is an AI avatar video that's plugged together, and all we need to do is type in a prompt and it's ready to go. And so anything that you work on day to day, you can build a custom workflow like this.

I've looked at all the tasks that I spend time on and then automated it using this full system so that everything is ready to go in one place. And also, you can do really interesting stuff with it. So, for example, let's say we're using Hermes. Well, we can have a custom made voice agent ready to go, speaks back whenever I want, listens to me whenever I want, as you can see right here.

And then also, it can control my browser, it can control my computer, it's listening in the background. We can see our full conversation history. We can see all the stuff we've built with it directly over here, as you can see. These are all previous builds.

We can even, for example, go to the Hermes Oracle. This is running 24-7 on autopilot, so no need to babysit it. And you can see over here that it finds the latest news, for example, like Grok 4.6 dropping in seven days. And then we can draft social media content.

We can publish content about that straight to a WordPress website. We can see the direct link to the actual post that just dropped 24 hours ago, right? And so, it's automating all of the things that I used to do manually myself. For example, like monitoring competitors as well.

It pulls that data in, as you can see, monitors our competitors, gives us content ideas based on that, and then we can go from there. So, it's a really powerful system. Now, you might also say, okay, I'm not technical, can I actually use something like this? We've got over 204 pages of testimonials and wins from people inside the AirProfit volume absolutely crashing with this system, right?

So, you can see it all right here. And you can see all the testimonials and wins from non-technical people who've set this up and are absolutely loving the HNOS, right? So, you don't need to be technical to use something like this. And so, if we look at the layers that we've plugged into this, the Hermes HNOS, we have three layers.

Number one is the brain, right? Hermes plus the models it thinks with. And you can use three models if you want. We've got, for example, OmniRoot plugged into this system.

So, if we want to use three models instead, we can. We also have the mission control. So, it's one dashboard where every agent job has a button. You know, we've got chat, we've got voice, we've got agent teams, we've got a workspace where builds land.

And you stop driving from the terminal, which is super messy. And then finally, we have a memory layer, right? So, this is a node's fault. Your agents read and write, your business context, your decisions, your daily logs, so that every session starts with context.

Every agent you plug in understands everything about you. And we can also use free local models. So, if we want to run the agent OS for free, well, we've got a local engine over here. We have, for example, the free AI coder with OmniRoot and NineRoot over here, right?

We can use all this stuff for free. And then we've got all these different dashboards. So, if we go over to Hermes, for example, we have the chat. This is just the everyday line to the agent with profiles for different jobs.

We have the voice. So, we can talk instead of type. We can ask what's running. We can fire off a build, right?

So, for example, like this, this is Hermes Apollo. It will just speak to me and reply back to me whenever I want to. So, if I say to Apollo, open up Obsidian, boom, opens up Obsidian directly for us, right? Super simple and easy.

Then we also have, for example, agent teams. So, we have Paperclip over here where we can have a full team of AI agents and Hermes running together, right? And so, with this, we can also have a Kanban board. And we have a Kanban board where we can assign a task and then our agents just go off and triage it and get it done.

And then finally, we have the workspace. So, everything we build ends up in a workspace for that particular agent. So, if we build something from Cloud, it goes in the workspace over here, right? If we build something with Hermes, it goes inside the workspace over here as well.

Like, if we go to Hermes mixture of agents, we have a full workspace of all our builds with Hermes agent over here. Pretty cool. And everything is saved in one place so we don't lose anything. Everything is easy to track and come back to.

You might also say, well, do I have to code this whole dashboard myself? Well, for me personally, when I was getting started with this, I would just go to Cloud and ask Cloud to build it, right? And this is something I've spent a long time building. But to get started, you can just go straight to Cloud, you can go to Hermes agent, ask it to build it for you.

And then we have the memory vault as well, right? So, this is using Obsidian and I don't organize this myself, right? So, it looks beautiful, it's super organized, but I'm not organizing it myself. I'm getting my agents to do it for me.

And the vault means that your agent never starts cold. It never forgets memory about you. This is a layer a lot of people skip, but it's the one that separates really like just a chat or a basic agent from an operating system. Because without memory, every session is like a first date.

You know, you have to re-explain yourself, your preferences, your projects hundreds of times a year. It's just annoying, right? And it's the reason a lot of people use AI agents and the output feels generic. So, the memory layer is embarrassingly simple.

It's just a folder of plain text notes that your agents read before working and write to after finishing. I use Obsidian, it's free, it's open source. You can plug it into AgentOS and visualize it in the memory galaxy like this. It has details about me and who I am.

It has my decision logs, it has daily logs about what I do. And the result is, if I say, like, you know, what are some good keywords to rank for when it comes to SEO? It knows all of my websites, all the content we produced, and then can just give me super personalized suggestions. And that works for anything you want to automate.

So, before, my agents lived in different windows. Every morning, I had to re-explain myself. You use a chat GPT, but then you have to Claude. It doesn't understand anything about you.

It's kind of like re-explaining yourself to a goldfish, right? And jobs would only run there whilst I sit there watching them. Whereas with the Kanban board and Paperclip, the jobs can run 24-7 without me. Then I stopped worrying about individual agents and built the AgentOS.

And now Hermes runs a full mission control with a button for every job. If I want to create videos, I just go to this section and type in what I want to build. If I want to do some SEO, I just go over here and deploy the content, right? Pretty simple and easy.

For example, we actually created this article this morning, and this is basically set up on a website, ready to go, right? We have, for example, the memory system that works whenever we need to, right? And this is an example of the SEO blogs that we create. So, you can see it's fully formatted.

I don't have to log into my websites. I can't even log into my websites anymore. I just give it to my agent, and it does all the work for me. So, it's ready to go.

And so, most people are collecting agents, but operators build the OS. The old way is that you chase every new model launch, install, play, abandon. You're explaining everything in every session, 10 tools, zero systems. And when the model changes, you start over from scratch.

Super messy. With the new way of having an agent operating system like you can see right here, well, you build the three layers at once. Models become swappable parts in a machine that keeps your context, your buttons, your history. If a new model drops, it's just a drop-down change, and it inherits everything.

Your memory, your mission control, your running jobs. The system compounds, whereas before, the tools never really did, you know? So, for example, if we have a look at Fusion, Fusion just launched Sakana Fugu Ultra 1.1. We plugged it in today.

Super easy. It took about two minutes. So, if you want this whole system, I mean, you could build it yourself, but you want to get mine. It's inside the Air Profitable Boarding.

Some people say, well, I should wait until the model's settled down before building anything like this. The models will never settle, right? That's the point of the three layers. The OS is a part that doesn't change.

You build it once, and every future model upgrade just becomes a drop-down change instead of a fresh start. And the problem is, like, waiting is just going to make you fall behind everyone else who's building something like this. Like, every time I use this, it improves. It gets better.

It improves every single day, right? And then other people say, well, this only makes sense for a real tech business, but you can use this. We've got so many members inside the Air Profitable Boarding. Agency owners, coaches, e-com founders.

We've got people using this for personal or genetic operating systems. Like, if your week contains repeated jobs, you have exactly the business this is for, right? The OS doesn't care what industry the buttons belong to. And also, you know, you might say, well, this uses a lot of tokens, but we have, for example, free cloud code plugged in with free models.

We have the local agent engine over here. We have the free AI coder. So you don't need to worry about tokens or how much it costs or anything like that, right? And so with this system, you learn how to become an operator and not someone who chases, like, shiny objects and gets distracted all the time.

If you want all the systems that we've got, you can get it inside the Air Profitable Boarding. Link in the comments description or go to the airprofitboarding.com. Inside there, you can get access to our agent OS. Just go to the classroom and then new daily updates and you'll find the agent OS system over here.

And then we add new tutorials all the time. But if you want the agent OS system, you can grab the zip file and we update it regularly, right? So you can update it and grab the latest updates whenever you want. You can also go inside the community, ask questions, and there's always people online 24 7 to help you.

Plus, I will personally answer those questions every single day for you as well, right? Like, if you check out my profile in school, I don't miss a day, right? Every single day, I'm just locked in helping you as much as I possibly can. And the reason that I do this is because I'm so dedicated to helping people inside the Air Profitable Boarding.

Inside the classroom, you can get access to all of my best training. So if you're a complete beginner, you can go from beginner to expert over here. If you want a really in-depth training on this sort of stuff, we've got a full one hour course on how to build an agent OS. And then inside the calendar, you can jump on weekly coaching course, get help and support in real time.

And inside the map, you can meet people in your local area who use an agent operating systems like you, right? Wherever you are, you can find people locally near you who are building with this stuff. So I hope to see you inside the Air Profitable Boarding. Link in the comments description or go to the AIProfitBoarding.com.

Some people as well will ask like, you know, does this come with APIs or are they included inside the system? So you plug in your own CLIs, right? And that way you can use the subscriptions you already have and it doesn't cost you anything extra. And if you don't have any subscriptions, no problem.

You can use the free AI coders and then, for example, you can use OmniRoot or NineRoot or any other free API with this whole system. And you can use local models as well. And then other people say, well, do I have to build this from scratch? But actually, no, because you can just grab the zip file right here and just install it.

You just get your agent to set it up for you. If you want to use, for example, like any of these systems, you just go into the chat and give it a prompt, right? So if you want to prompt any of these, you just go inside Claude here and just give it a prompt, which means you're ready to go. And it also has systems for sub-agents.

So if you go to the paperclip section here, you can have a full system with sub-agents, different agents managing each other. So it's fully autonomous. We also have the group chat here where we can speak to our agents and they just come back and they can bounce ideas off us as well. And one of the things I love about this is I can use it personally for my agency.

So, for example, you know, I have a SEO business. We can use a system like this to generate content for any of our websites. We can use a memory system to store information about any of our clients, our agency, or any of our processes. It has information about all the agents, the people I work with, the companies, the projects.

You see, for example, Goldie Agency is floating around right there and has information about everything inside my agency. So if you're an agency, works really well, but any sort of business this works with as well. So thanks so much for watching. Hope to see you inside the AIPoF audience.

Feel free to get the AgentOS.

More episodes

Browse all episodes →