01What an Agent Operating System Is and How It Works

An agent operating system is a way to link all your AI agents together with a memory system. This lets them work inside one space. They can share context, memories, and tasks.

You can build and automate almost anything with it.

Think of it like a central hub. Each agent can access the same information. They do not start from scratch every time.

This makes your AI work faster and smarter. It is useful for coding, writing, and more.

02Main Features of an Agent Operating System

An agent operating system lets you connect different agents in one place. Here are the main features from the episode:

  • Memory galaxy — a system inside Obsidian that stores and links memories. Agents can export their memories into organized folders and files.
  • Free fallback models — you can use OmniRoot, which connects to over 90 free APIs. If one gets rate limited, it switches to another.
  • Multiple free model options — inside Hermes agent you can pick from free models like Step 3.7 Flash, Poolside, Laguna XS 2.1, Ling 3.0, Laguna S 2.1, and Tencent HY 3.3.
  • Plugin support — you can connect agents to SEO tools, websites, and CLI tools like Netlify or WordPress.
  • Skill sharing — you can give your agents a zip file that contains a pre-built skill, such as a 12-page SEO skill, and they can start using it.

These features help you build a system that improves over time.

03How to Set Up an Agent Operating System

Setting up an agent operating system is straightforward. Follow these steps as shown in the episode:

  1. Get a zip file that contains the configuration files for the agent operating system.
  2. Attach the zip file to your AI agent (for example, Claude).
  3. Tell the agent: "Set this up for me and configure it so it works in the chat."
  4. The agent will ask you to log in and authorize your CLI with the agent operating system.
  5. Confirm that you have logged in. The agent will then finish the setup.
  6. Your agent is now ready to use the agent operating system. You can add other tools like Obsidian or SEO plugins later.

That is all it takes. The process works for any CLI tool you want to plug in.

04How to Use the Agent Operating System with Memory

Once you have the agent operating system set up, you can start using it with a memory system. In the episode, the host showed how to use Obsidian as the memory hub. First, make sure you have Obsidian installed.

Then ask your AI agent to export all its memories into Obsidian. The agent will create folders and files that are all linked together. This is called a memory galaxy.

You can visualize how the agent understands your context. Click on any link inside Obsidian to see what the agent knows. For example, one link might say "LLM wiki" and explain what an LLM wiki is.

To use this with a new agent like Buzz, just tell it: "Connect to Obsidian locally and use it for your main memory." The agent will start reading from Obsidian instead of starting fresh.

This works with any agent, not just the ones inside the agent operating system. You can replace Hermes with Claude, OpenCore, Buzz, or any other agent.

05Results and Comparisons from the Episode

The episode showed real examples of using an agent operating system for SEO. The host shared a dashboard where websites were growing well with SEO automation. The websites were on a good trajectory.

The host also compared free model options. Before, Quen 3.6 was free, but it is no longer available. Now you can use free models like Ling 3.0 Flash and Tencent HY 3.3.

The host noted that OmniRoot automatically switches between free APIs when one gets rate limited.

For the memory system, the host said the agent operating system improves every day. The links become better and the knowledge gets richer. This gives you a competitive advantage because your agents get smarter over time.

06Tips, Limits and Mistakes to Avoid

Here are some tips from the episode to get the most out of an agent operating system:

  • Use free fallback models — if one free API gets rate limited, set up OmniRoot so it switches to another. This keeps your agents working.
  • Link memories — always connect your agents to Obsidian or a similar memory system. This makes them faster over time.
  • Keep it simple — you do not need to self-host an open source model for a team. A shared company ChatGPT account works well.
  • Limit who creates custom GPTs — assign one or two people to create custom GPTs for clients. This keeps things clean and saves time.
  • Avoid the 20-file limit worry — the host says they never need more than 20 files attached to a custom GPT. Do not worry about this limit.
  • Start with a pre-built skill — if you want to automate SEO, use a skill zip file. Just attach it to your agent and let it set up everything.

These tips help you avoid common mistakes and work faster.

07Who It Is For and Why It Matters

An agent operating system is for anyone who wants to automate tasks with AI. This includes people building websites, doing SEO, creating content, or managing client projects. If you use multiple AI agents, this system saves time and makes them work together.

It matters because learning AI now gives you a headstart. The host says everyone is still early to AI. If you learn this now, you can connect with others who are also learning and growing.

The AI Profit Boardroom is a place where people share wins and help each other. The agent operating system turns your AI agents into a team that improves every day.