01What Is Agent OS and How It Works

Agent OS is a local operating system that connects all your AI agents—like Claude, Hermes, and OpenClaw—into one dashboard. Instead of switching between tabs and copying text, you get a single screen where every agent is live, with full context from your notes and history.

Think of your phone without iOS: apps sit there, can't share data, and you do everything manually. Most people's AI setups are like that. Agent OS fixes it by giving you mission control.

One dashboard shows real-time status for each agent. Click any agent to chat instantly, see session history, and access a shared memory that every agent can read.

The system runs locally, so your data stays on your machine. The host, Julian Goldie, built the whole thing in one session with Claude, proving you don't need to be a programmer to create your own AI operating system.

02Key Features of Agent OS Dashboard

Mission Control is the first thing you see. It's a full status panel showing whether Claude is online, Hermes is active, and OpenClaw is connected—all in real time. On the left, the agent panel lets you click into a live chat with any agent without opening a new tab.

The memory section automatically logs every chat, goal, journal entry, and note in a searchable place. Your agents can read all of that, so they never start from scratch. For instance, if you ask Hermes to help grow your community, it already knows your goals and past efforts.

  • Session history: Pull up any past conversation instantly.
  • Control room per agent: Manage API keys, model settings, and plugins.
  • Skills and plugins: Set custom skills, like helping with onboarding or planning coaching calls.
  • Insights tab: See stats on sessions, tool calls, model usage, and peak hours over 30 days.

The insights tab breaks down your AI usage like your phone does for screen time, helping you see what works.

03How to Set Up Agent OS Locally

You don't write code. Julian built the entire system in one session by telling Claude what he wanted. Here's how to get started:

  1. Open Claude and describe your vision: Type something like, "Build me a beautiful operating system hosted locally for managing Claude, Hermes, and OpenClaw agents."
  2. Answer a few setup questions: Claude will ask about your preferred tech stack. Go with the recommended setup—Next.js and Tailwind—unless you know better.
  3. Let Claude build it: It will generate the entire dashboard without you touching code.
  4. Connect your agents: Add your API keys and link agents like Claude, Hermes, and OpenClaw through the control room.
  5. Create a memory folder: Connect your Obsidian vault if you use it, or set up a local folder for goals and journal.
  6. Test and customize: Ask Claude to add features like an SEO agent or voice input. It will update the build.

The whole process feels like texting a friend, not engineering. Once it's running, you can access everything from one screen.

04Using Agent OS for Daily Work

Open Agent OS and see Mission Control. Here's how it plays out in practice: To plan coaching calls for your community, go to Claude inside the dashboard. It has access to your vault, past calls, member feedback, and recent AI news.

Type a request like, "Plan the next four coaching calls based on member questions and this month's AI events." Claude pulls context and returns a full four-week plan with topics and key points. You review, approve, and done—what used to take an hour now takes two minutes.

The memory layer is a game-changer. If you ask Hermes, "Based on my Obsidian vault, what should I automate today?" it scans your actual notes and projects. In Julian's live test, Hermes saw he was working on the AI Profit Boardroom and gave specific automation ideas for his community, content, and team.

  • Write journal entries by text or voice, and reference them later in agent chats.
  • Set goals with fill bars and completion percentages; agents factor these into responses.
  • Use the insights tab to review what's working and adjust your strategy.

You're the operator, not the engineer. The complexity hides underneath, so you just click and type.

05The Four Layers of Agent OS

Agent OS works through four layers, each with a distinct job:

  • Intelligence Layer (Claude): Wired directly into Agent OS with full tool access and MCPs. It writes code, reads files, analyzes documents, and plans campaigns. Use it to draft agendas or review tutorials.
  • Execution Layer (OpenClaw): Acts like the router in your house, routing tasks between agents and managing sessions so everything talks to each other.
  • Research Layer (Hermes): Handles multi-step workflows and uses skills to do things in the world. For example, it can pull a weekly AI news summary automatically.
  • Self Layer (You): Your Obsidian vault, goals, journal, and memory. It's the most powerful because it stays relevant as new tools come out, and it grows with you.

This structure turns disconnected tools into a coordinated system. Each layer builds on the last, so your agents have full context and can act intelligently.

06Results and Real-World Tests

Julian tested Agent OS live. He asked Hermes what to automate today, and it looked through his vault and sessions. Hermes returned a list of specific automations for his community, content, and team.

That's not generic advice—it's a plan based on his actual business.

Another example: Planning coaching calls for the AI Profit Boardroom. Claude pulled context from notes, past calls, and recent AI news, then produced a full four-week plan. Julian says that used to take an hour; now it's about two minutes.

The system compounds. Day one it's useful; day 30 it's a different thing entirely. Because every day, it learns more about your business, goals, and what's working.

07Tips, Limits, and Mistakes to Avoid

One big mistake is using AI tools in separate tabs without any connection. Agent OS solves that, but you need to feed it well. Keep your Obsidian vault updated with goals, notes, and journal entries.

The more context you give, the better the responses.

Another limit: The dashboard is built for you. If you want changes, you tell Claude, and it updates. Don't try to hack the code manually—let the AI handle it.

Run locally: Agent OS keeps data on your machine. That's intentional for privacy. But it means you need to manage your own backups.

Also, Hermes is free and open-source, connected via OpenRouter with a model like OurAlpha that works well, so costs can stay at zero.

Remember, the system is only as good as its memory layer. If you skip journaling or goal-setting, your agents lose their edge.

08Who Should Use Agent OS and Why It Matters

Agent OS is for anyone who uses AI daily for business—content creators, agency owners, or community managers. If you're juggling multiple AI tools and feel they don't work together, this is your fix. It turns a pile of tools into a cohesive system.

It matters because it saves hours. Planning tasks that took an hour now take minutes. And because everything remembers, your results improve over time.

Julian compares it to the difference between disconnected tools and a true operating system—the latter wins every time.

If you want a structured path, there's a 30-day roadmap in the AI Profit Boardroom with coaching calls and tutorials. But you can also start free. The key is to start building your memory layer now so your agents get smarter with you.