01What an Agent Operating System Is and How It Works

An Agent Operating System is a platform that connects all your AI agents to one shared memory. You can control and manage every agent from a single dashboard. When a new model or tool comes out, like anti-gravity agent team previews, you can add it to the system easily.

The AgentOS improves every day because it lets you use the best models without chasing updates yourself.

Inside the system, all your workflows are one click away. You can switch between models, give context to agents, and build custom automations. The AgentOS acts as a command center for your AI tasks, whether you run agents locally or in the cloud.

02Main Features of AgentOS

AgentOS comes with several powerful features that make managing AI agents simple:

  • Unified memory vault – called the memory galaxy system. It stores context for all your agents so they remember past conversations and tasks.
  • Local AI engine – you can run local models like Gemma 4 and preview what they build in a full workspace.
  • Cloud agent support – Hermes agents can run 24/7 in the cloud. Even if you shut down your computer, they keep working.
  • Frontier model integration – connect GPT 5.6, Claude, or other models to orchestrate your agents. GPT 5.6 can generate images too.
  • Customizable workspace – rename, reorganize, and add your own workflows. Non-coders can set it up without writing code.
  • Built-in outreach agent – perfect for automating link building outreach for SEO. It connects to an email inbox and plays the numbers game.

03How to Set Up Your Agent Operating System

  1. Go to the AI Profit Boardroom community and access the classroom. Find the AgentOS system under “new daily updates.”
  2. Download the zip file and watch the video tutorial that shows the installation steps.
  3. Unzip the file and run the setup. Follow the on-screen instructions to install AgentOS on your computer or cloud server.
  4. Open AgentOS and create your first agent profile. Choose a model, like GPT 5.6, and connect it to the system. You can use your ChatGPT subscription to avoid extra API costs.
  5. Set up the memory vault by adding context about your tasks. This lets all agents share information and work together.
  6. If you want to run local models, turn on the local AI engine. Pick a model like Quen 3.6 or Gemma 4. Test it inside the workspace.
  7. Optional: configure the cloud option for Hermes agents so they run 24/7. Also add any outreach agents for SEO or job tracking workflows.

04How to Use AgentOS: Examples from the Episode

In the episode, Julian showed several ways people use AgentOS in real life. One person, Kenneth, customized his AgentOS and renamed it. He wired in a free local model and used the memory vault to give his agents context.

He connected it to Obsidian for note-taking. Another user, Robbie D, built a job application tracker. The agent tracks every job he applies to, flags reposted positions, and skips ones he touched in the last 90 days.

It creates an AI-powered Trello board that automates his pipeline.

For SEO, you can use the outreach agent to build backlinks. The agent connects to an email inbox, reaches out to 100 websites, follows up, and plays the numbers game to get links. You can also use AgentOS to update itself.

If an update removes a sidebar feature, just tell an agent: “Please add it back in.” The agent will restore it. To prevent this, set a rule: “Make no changes to the sidebar without asking me first.”

05Results, Tests, and Comparisons Shown in the Episode

Julian compared different models inside AgentOS. He said GPT 5.6 is by far the best model to connect to the system. It generates images and does not cost extra if you use a ChatGPT subscription.

Local models like Quen 3.6 are not frontier level. They work best as sub-agents that handle small, hard tasks that do not need much thinking. A frontier model like GPT 5.6 should plan and orchestrate the local agents.

He also tested the new Gemma 4 version inside the local AI engine. It worked fine for building simple automations. The community saw wins: Kenneth set up his AgentOS as a non-coder and got it running.

The AI Profit Boardroom has over 200 pages of testimonials from people who implemented AI automation. The system updates regularly, and each update comes with a video tutorial and a zip file.

06Tips, Limits, and Mistakes to Avoid with AgentOS

One common mistake: agents can override your files. If an update removes a sidebar you liked, ask the agent to add it back. To prevent this, set a rule that agents must ask for approval before changing the sidebar.

Another limit: local models are not as powerful as frontier models. Do not expect Quen 3.6 to solve complex tasks alone. Use it as a sub-agent for repetitive work.

If you run Claude Code locally, closing your laptop stops it. Instead, run Claude in the cloud with a remote session, or use Hermes Cloud which keeps agents running 24/7.

For backlink outreach, remember it is a numbers game. You may need to email 100 sites to get one backlink. The agent can automate this, but you still need a good email list.

Finally, if you have a DGX Spark or RTX 5090, you can test many local models. On a Mac Studio you are limited.

07Who Agent Is For and Why It Matters

AgentOS is for anyone who wants to control and manage multiple AI agents without technical skills. Non-coders can customize it with drag-and-drop tools and the memory vault. It matters because AI models change fast.

Instead of chasing every new model, you plug them into AgentOS and let the system use the best one for each task.

It also helps small business owners automate outreach, job hunters track applications, and SEO specialists build backlinks. The AI Profit Boardroom community provides support, weekly coaching, and over 200 pages of testimonials. You can connect with other users in your area and direct message Julian.

AgentOS turns AI from a confusing tool into a practical system that saves time and gets results.