Agent OS: Local, Obsidian, SEO, NotebookLM MCP + More

**Julian Goldie** (0:00)
So today, we're going to be covering all the latest questions on the Agent OS. You can see our mission control right here. And if you've built something like this, or if you're interested in building something like this, you know, for example, we got a voice activated version of Hermes that we can speak with in real time. We have, for example, the Claude CLI built in here. We even have free Claude code and a local engine for building stuff out, plus a powerful memory system. It's basically a way to connect all your AI agents to CLIs in one place, plug them into a memory, and then have custom workflows like you can see. For example, we have a Agent Kanban over here. We also have, for example, a setup for SEO over here. We can automate videos in one single click, like you can see here, and it's all ready to go. So if you want a system like this or you're interested in building something like this, keep watching. I'm going to answer some of the latest questions inside the AI Profit Boarding Community. I'm going to run through these step by step because I know if people inside the community have these questions, you probably have these questions too. So let's get straight into it. So question number one from Jose, the prerequisite on Agent OS. For an agent operating system to run locally, what are the hardware requirements and what kind of model should be used? Now, I mean, a lot of people think that you should be using a Mac Mini or a Mac Studio, and I would say that is wrong because from my own tests with Mac Studio, it's not particularly good unless you've got like the higher spec version for running local models.
So I would say, yeah, an RTX is pretty good. RTX 590 is one of the best setups I've seen. So RTX 590 or a DGX Spark is powerful too. And then for actual models to run, the one that I've seen that seems to be the most powerful is Qwen 3.6.
That seems to be the most useful to run. But it also depends what you want to generate. So for example, if you want to generate images locally, well, then you could use something like Ernie. If you just want to generate text, then something like Qwen 3.6. So it really depends what you're building with it as well. The main thing to note here though is like, if you're just running an Agent Operating System, it's super lightweight. So you can run this on like a non-powerful PC. You could run this on a laptop. If you're not running local models and you're just building an Agent OS with APIs or CLIs, then you don't need anything powerful for that. Skin like Windows setup WSL or native for Agent Operating Systems. So if you're setting up Agent OS on Windows, what should you be using? So I don't run Windows, I have a Mac Studio, but Sheena here answered and she was saying go native Windows and she's created some awesome operating systems from what I've seen. So go with the native Windows setup WSL adds complexity. And if you're watching this and you figured, okay, which one should I go for for setting up Agent OS? Yeah, Windows native, not WSL. So Steve posted here as a welcome and he's working through the Agent OS training as well. Taking some notes, organizing some stuff, etc. So he was asking about how to grow his service, his agency essentially with an Agent OS system. And there's quite a few use cases for a service based business that I think you would like with this. So number one is the video agent pipeline. I think you would like that because it will help you market your business better, get more leads and it's an easy way to automate videos. Number two is you can actually use this for SEO too. So for example, for us, for our agency website, we use the system inside the Agent OS for SEO.
So for example, if we scroll down to this section here, you can see that we can plug in a keyword, we can plug in a case study and then we can deploy that to our websites. So that's a pretty powerful way to quickly get SEO content ranking.
And it actually looks really good when we post it. You can see an example right here, like nicely formatted, SEO optimized, et cetera. So that is method number two. Also, if you have separate clients and separate businesses that you're working with, you can organize some separate project folders inside your Obsidian memory. So you can see our Obsidian memory right here. This is our Obsidian Galaxy. And all of these different stars is a separate memory. So this allows your agents and your CLIs to understand all of your clients, all the projects you're working on. And then if you ask it a question or you ask it to generate some content for a client, it can pull out that information from your Obsidian memory. There's actually a lot more you can do with it, but those are the top three use cases for using an Agent OS. Marlon created their own Agent OS system as you can see right here. So they've sort of tweaked and customized ours and then built this, which looks pretty awesome. So this is cool because, you know, you can build your own, you can customize your own, you can create it however you want it. You don't have to have the whole setup like this. So if you don't like the UI or something you would tweak, you can easily change this. Here's a good one from Gabrielle. So Gabrielle was talking about how he's ranking inside AI, as you can see right here, for his keyword.