01What a Hermes Agent Operating System Is
A Hermes agent operating system is a central dashboard where you manage all your AI agents in one place. Instead of typing commands into a terminal window one at a time, you get a mission control panel that shows every agent, every project, and every memory you have created.
Think of it as the command center for your AI tools. If you use Hermes agent alone in the terminal, you are basically using a glorified chatbot. The operating system turns that into a full workspace where you can preview websites, play voiceovers, and switch between agents like Claude, OpenClaude, or Hermes with a single click.
02Key Features of the Agent Operating System
This system is built to fix the biggest pain points of using AI agents directly. Here are the main features explained in the episode:
- One dashboard for all agents — You see Hermes, Claude, OpenClaude, and any future agent in the same window. No more switching between apps.
- Goals mode — You can plug in a goal (like “research keyword strategy”) and the agent runs for 12 to 24 hours on its own. You go to sleep and come back to finished work.
- Built-in preview — Markdown files, website designs, video trailers, and voiceovers are all visible inside the system. You don’t have to guess what was created.
- Memory system via Obsidian Vault — The system pulls from a vault of notes about you, so agents already know your context without you repeating it.
- Kanban boards — You can organize tasks like “build keyword research strategy” with a visual board inside the system.
03How to Set Up Your Hermes Agent Operating System
Julian shows that setting up the system is straightforward. He offers a ready-made version inside the AI Profit Boarding, but you can build your own. Follow these steps:
- Get the system file — Go to AIProfitBoarding.com or use the link in the episode description. Download the latest zip file with all components.
- Install the base dashboard — Unzip the file and open the main dashboard file. It will show you a menu where you can add agents and plugins.
- Connect your Hermes agent — Follow the video tutorial inside the package to link your Hermes agent to the dashboard. The tutorial walks through each terminal command.
- Add memory (optional) — If you use Obsidian Vault, point the system to your vault folder. The agents will read your notes automatically.
- Plug in new tools as they release — When a new agent or feature like Ant CLI comes out, you add it as a CLI inside the dashboard. The system includes a “New Feature” button for this.
- Customize the design — You can change colors, layout, and buttons to match your workflow. Julian customized his own from scratch.
04How to Use the Hermes Agent Operating System in Practice
In the episode, Julian walks through several real examples of using the operating system. First, he shows voice mode. In the standard Hermes desktop, you have to allow a microphone manually, and often the option is missing.
In the operating system, you click one button and start talking. Julian says, “How are you today, Hermes?” and the agent replies immediately.
Next, he demonstrates goals mode. He types “Build an AI keyword research strategy” into the Kanban board. The agent takes that goal and works on it for hours.
All results save to the workspace. Later, he shows how to preview a website the agent built. In the terminal, you cannot see images or layouts.
In the operating system, everything appears right in the panel.
Another example is adding new tools. When Claude released Ant CLI five hours before the episode, Julian plugged it into the operating system as a CLI command. That made it usable right away, without reading pages of API documentation.
For non-coders, this is the difference between never using a new tool and using it in ten minutes.
05Results and Comparisons Shown in the Episode
Julian compares the operating system directly to using Hermes agent inside the terminal. In the terminal, each session is isolated. You cannot see previous images or preview markdown files.
The operating system shows everything in one place, including trailers, voiceovers, podcasts, and websites.
He also compares it to Hermes desktop. The desktop app lacks a microphone permission option, so voice mode is broken. The operating system enables it with one click.
The same applies to Kanban: the terminal requires reading a long tutorial to set up a Kanban board, while the operating system has it built in as a button.
A third comparison involves updates. When Minimax M3 released (described as the most autonomous agentic model), the operating system added a goals mode to use it. Without the system, users would have to search for tutorials and figure out API keys.
Julian says the system makes everything “10 times easier to see and organize.”
06Tips, Limits, and Mistakes to Avoid
Julian points out common mistakes. The biggest one is using Hermes agent like a “glorified ChatGPT.” If you only chat in the terminal, you are wasting the agent’s power. The solution is to always use a system that gives you context, memory, and previews.
Another mistake is ignoring memory. Without a memory system like Obsidian Vault, you have to re-explain your context 100 times. Julian says this is inefficient and tiring.
He recommends plugging in a vault so agents already know your preferences, business details, and past work.
A limit to note: the operating system Julian shows is his own custom build. He sells it inside the AI Profit Boarding. If you want to build your own, you need to be comfortable with some setup.
But he assures that “if you can message a friend, you can use AI agents.” The biggest risk is trying to understand every technical detail instead of using a ready system that bridges the gap.
07Who Should Use an Agent Operating System
This system is for business owners, content creators, and anyone who wants to control multiple AI agents without learning to code. Julian says most people do not read blog posts or spend hours on terminal commands. The operating system turns that technical information into something implementable.
It matters because AI agents and models change fast. A new agent like Cloud Mythos could come out next month, and with a system you just plug it in. Without a system, you start from zero every time.
Julian compares it to Google’s success: people and CEOs come and go, but the system stays. The same principle applies to managing AI agents. A flexible operating system ensures you always get the most out of whatever new tool arrives.
08Why a System Beats a Single Agent
Julian emphasizes that “agents come and go, APIs come and go, models come and go.” What endures is the system that organizes them. He gives the example of Google: its search system has been the foundation since day one, even as employees changed. An agent operating system works the same way.
When you own a system, you create a positive feedback loop. You test a feature, tweak it, and it gets better over time. You do not have to start over when a new version of Hermes agent appears.
Julian shows how he updates his system daily, so users always have the latest integrations. That is the real value: not a single tool, but a permanent framework for all your AI work.
