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

**Julian Goldie** (0:00)
Today, we're going to be running through the latest questions about our Agent Operating System. If you're not sure what that is, basically this is a powerful system for having all your agents working together. So you can see, for example, we have PaperClear, we have the AI Agent Mastermind Group chat, we have Applied Pellet, where we can go from idea to implement this ASAP, our Agent Kanban. We even have, for example, more advanced stuff like a local engine for AI agents, a loop engineering system here for self-improving AI agent loops. We have an SEO section and a video agent here that can create amazing stuff. So this whole system is about making sure that we have all of our agents in one place, which is more important than ever. As, for example, more models get released, more updates come out. Doesn't really matter about the models that come out or the agents that come out. What matters is that you have a great system to manage it all, which is what we've built with the Agent Operating System, and you can build your own as well. And if you look at the old way versus the new way, it's the same person, same goal, but two totally different workflows. So for example, before you be juggling loads of tabs, copying and pasting between ChatGPT to Claude and all your other models. And then for example, it gets messy because you've got all these different subscriptions in one place.
You want random stuff that you create, but you can't find it anymore. There's no memory system and you start from scratch every day, right? And you feel like AI is making you faster, but the day actually ends up with the same to do list. That's the old way. The new way is like you have one tab, everything built in, all your agents are ready to go. You don't need to go to terminal or anything like that. All the workflows you actually build out day to day, you can save in one place as you can see here. We've even got a music agent, a game studio, etc. We've got Notebook LM and a research agent here that can generate research reports and infographics and podcasts in one place, as well as videos. We have a full memory galaxy here, where like every few minutes, we're getting new memories built into the system with our AI agents, so we've got this amazing memory and context our agents can draw from, and they can all plug in to the same system, so they're all synced up and we never have to re-explain ourselves again. Literally, I've not had that problem for months now since I built this. So this is a powerful system and we're going to answer some of the latest questions inside the community. This is the AI Profit Born community where we share our Agent OS setup. And basically, we answer questions inside here because I know that if people inside this community have those questions, you probably have similar sort of questions as well. So the first question we have from Victor, which is, you know, I'm interested in everyone's setup. What are you running? How are you running it? Etc. So we have, you know, his setup is like OpenCore on a Mac M3 with 64 gig RAM using local LLM setup of Quen 3.6, which is pretty awesome. A MacBook Air with 8 gig RAM and Hermes and then a Surface Pro 6 with Co-Pilot using it for IT work, development work and some marketing. What am I using personally? So I actually have a Mac Studio setup with Apple M4 Max, 36 gig of memory.
And the one thing I'll say here is like, it's actually not that great for running local models from what I've tested before, but it is amazing for having this operating system, right? Cause this is just running 24 seven. And you can see here that we have Claude, we have OpenClaude, Hermes and all these other CLIs plugged in. Now for me personally, I don't think that you need all of these different CLIs plugged in. You can just pick and choose whichever one's worth you or whichever ones you're using for. And I would say the best systems are typically the simplest systems. So even if you just had Claude and Hermes plugged into this, it will be very powerful. And then you can orchestrate all your agents together using something like Paperclip, which you've got over here. You've got the AI Agent Mastermind group chat, as you can see. And then any ideas that come from the group chat when all my agents are taken together, anything that's actually good, gets plugged into our pipeline. And then we can start building it, as you can see, in one single click. Pretty cool. And then we approve or deny the plan. And once we've done that, it will actually start building like so. So you can see that's just gone from human approval to implementation. So we can get ideas created very quickly, run it in the background. We have a local AI Agent Kanban as well, ready to go. And that's the system that I have. The thing that I would say as well about this system is like, because we give it to you, you don't need to worry about the latest updates, what comes out. Like we build it in and we test it every single day. I actually have something called Goldie Bench, where I benchmark all of my live demos. We see which one performs the best, which models are the best recently. And then we actually give them medals based on the tasks they complete and what they complete. And if you want to compare, like, okay, what are the outputs for each model? So you can see the stuff that we built side by side for each model over here, which is pretty cool.