01What Hermes Agent OS Is and How It Works
Hermes Agent OS is a mission control center for your AI agents. Instead of using a plain terminal or separate chat tabs, you get a visual dashboard where you can see, manage, and control everything your agents do.
In this episode, Julian Goldie shows how the system works. You have a main workspace, a sidebar with all your agents, a Kanban board for tasks, and a control room for tools like MCPs. Every agent connects inside one interface, so you don't lose track of what you've built.
The system runs locally and links to a memory layer built on Obsidian. This means every agent reads your business context, your client info, and your voice every time you use it. No more re-explaining yourself.
02Main Features of Hermes Agent OS
The agent operating system comes with several powerful features that make it better than the old terminal method:
- Visual dashboard – See all your agents, tools, skills, and plugins in one place.
- Preview and history – Scroll through past conversations and creations directly in the chat.
- Kanban board – Assign missions to different agents, and they execute everything autonomously.
- One-click MCP connection – Install and connect MCPs without complex setup.
- Obsidian memory layer – Memories stored as a knowledge graph and synced automatically.
- Video creation – Build and preview videos using a free Hermes agent skill built into the OS.
- Plugin system – Add new workflows (like SEO or video) and share customizations with a community.
- Free API options – Use OpenRooter alpha, Minimax with Olama, and more at no cost up to certain limits.
03How to Set Up Hermes Agent OS
Julian explains that the easiest way to get started is through the AI Profit Board, where you can download the zip file and follow a step-by-step video tutorial. Here are the basic steps:
- Go to AIProfitBoarding.com and get the setup files from the classroom section.
- Download the zip file containing the agent OS configuration and load it into your system.
- Install the required components, such as Hermes agent and Obsidian for memory.
- Open the system and connect your API keys (free options are available).
- Use the control room to install MCPs in one click and set up your tools.
- Create your first mission on the Kanban board to test how agents work together.
- Customize the system by adding skills (e.g., video, SEO) that fit your workflows.
After setup, you can join the community for weekly coaching calls and video tutorials on new features.
04How to Use Hermes Agent OS: Examples from the Episode
Julian walks through several examples of using the agent operating system in real life. First, he shows how to create a video. You go to the mission control section, type a prompt, click create, and the system starts making the video using a free Hermes agent skill.
You can then preview the video, watch it back, and keep everything organized in the UI.
Another example is the Kanban board for task management. Julian says you can assign a mission like "build a keyword strategy" by plugging it into the task section. The system then assigns it to different agents, and they go off and implement everything autonomously.
You can also use the workspace to view all your markdown files, videos, and previously built apps. The sidebar keeps a persistent history per agent, so you can scroll up to see everything you've created. If you want to combine tools, you can connect Notebook LM directly and operate it with Hermes agent inside the same dashboard.
05Results, Tests and Comparisons Shown in the Episode
Julian directly compares the old way of working with Hermes agent to using the agent OS. The old way means having a terminal with four different tabs, no visual preview, and no persistent memory. Every prompt wastes 20% of the context re-explaining your setup.
Everything you create in the terminal just disappears because you can't see or recall it.
With Hermes Agent OS, you get a beautiful UI that shows everything you've built. Julian says it makes using your AI agents 10 times more powerful. You can preview creations, check what tools are connected, and see your memory as a knowledge graph.
If you've built something with Hermes, you can adapt it inside OpenCore, and everything links together.
The system also evolves quickly. When Minimax M3 came out, it was plugged into the OS within hours. Julian notes that you can adapt your agent OS based on what you need, like adding an SEO system if you do a lot of SEO, or a video agent for video work.
06Tips, Limits and Mistakes to Avoid
Julian shares several tips for getting the most out of your agent operating system. First, avoid the mistake of running AI like it's 2024: with separate tabs for Claude, ChatGPT, a Hermes terminal, and scattered files. That setup has no shared memory and makes everything harder to manage.
Another tip is to use the goal mode inside Hermes agent, which lets it run autonomously for hours without you. This works well with the Kanban board for long-term missions. Also, make sure to leverage the persistent memory built on Obsidian.
Every agent reads your business, clients, and voice every session, so you don't need to re-explain.
One limit Julian points out is that the old terminal method doesn't let you preview or organize your work. Avoid building complex workflows without a visual system, because you'll lose track of files and apps you've created. Finally, take advantage of the community.
You get video tutorials, weekly coaching calls, and a map to meet local users who can help you customize your setup.
07Who Hermes Agent OS Is For and Why It Matters
Hermes Agent OS is for anyone who uses Hermes agent or multiple AI tools and wants a single dashboard to control everything. Julian says most operators in 2026 are still running AI like it's 2024, with messy tabs and no memory. This system solves that by giving you a unified workspace that gets smarter every day.
If you run an agency, create video content, do SEO, or automate workflows, the agent OS lets you add specific agents for each task. You can share customizations with a community and keep your system up to date with new tools as they launch. The result is a powerful, evolving system that makes your AI agents 10 times more effective than using them in isolation.
The episode emphasizes that you don't have to stick with the old, inefficient way. By switching to an agent operating system, you save time, avoid rework, and build a memory that connects everything you create.
