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The Julian Goldie Agent OS GitHub repo does not exist, because my Agent OS is not on public GitHub and it is only available inside the AI Profit Boardroom as an installable download with step-by-step guides.
I get asked about it every day by people who have seen the dashboard in my videos.
This quick start shows you what the Agent OS is, what is inside, how members install it, how it fits a daily workflow, and which free projects you can grab from GitHub instead.
No, the Julian Goldie Agent OS is not on GitHub, and I have not published its source anywhere public.
Here is everything you need to know in one table.
| What you want to know | The straight answer |
|---|---|
| Is it on GitHub? | No, my Agent OS is not published as a public GitHub repo. |
| Where is the official version? | It is inside the AI Profit Boardroom, and that is the only official place to download it. |
| What do members get? | They get a dated zip pack with the dashboard, install docs, a video walkthrough, a 30-day roadmap and updates. |
| Who built it? | I built it in mid-2025, and I run my own business on it every day. |
| What does it run on? | It runs on macOS and Linux and through a web browser, and the pack includes notes for Windows users. |
| Do I need to code? | No, because you direct the agents in plain English or let Claude Code install it for you. |
If a GitHub page calls itself "the Julian Goldie Agent OS", it is not from me.
What I do share for free is the method, and my AI Agent OS build guide shows the exact prompts I used to build mine.
The Agent OS is my AI agent operating system, which means one dashboard where every agent lives, shares one memory and picks up work from one task board.
I built it in mid-2025, when I moved from teaching SEO tactics to running AI agents that do the SEO for me.
It runs a crew that includes Claude Code, Hermes, Codex, Gemini, OpenClaw, Kimi and GLM.
Every one of them reads from and writes to the same Obsidian vault.
The problem it solves is the tab problem, where you are the glue between a dozen AI tools that never remember you.
The fix is three pieces, which are one screen, one shared memory and one task board.
| Part of the Agent OS | What it does in your day |
|---|---|
| Mission Control | It shows every agent's live status, model and current job on one screen. |
| Unified chat | It gives every agent the same chat box, so you switch agents with one click. |
| Shared memory | An Obsidian vault feeds every agent your business context and saves what they learn. |
| Kanban board | Agents pick up task cards, work in parallel and move finished jobs to Done. |
| Hermes desk | One Hermes agent covers chat, voice, Oracle, Astros, Studio, Sessions, Outreach, Mixture, Workspace, MCPs, Manage, Control Room and Goal Mode. |
| Workspace | Every app, image, video and audio file an agent builds previews inline. |
| Free Claude Code | It runs Claude Code tooling through OpenRouter so routine jobs cost very little. |
| Studio and research | It handles images, voice and video, and pulls NotebookLM assets into the dashboard. |
| Mobile access | Tailscale opens your whole dashboard on your phone through a private network. |
🔥 Want the exact the Agent OS setup I run inside my Agent OS?
Inside the AI Profit Boardroom you get the installable Agent OS, step-by-step video tutorials, four coaching calls a week and 3,400+ members building real automations.
This is the fastest route from joining to a working dashboard.
If you would rather not touch anything, open Claude Code or Codex in the folder and ask it to follow the Setup With AI playbook.
That is how I install most things now, and the playbook stops to ask you before anything that needs a paid account or a key.
Here is what is inside the pack, file by file.
| File in the pack | What it is for |
|---|---|
| Start Agent OS | On a Mac, it checks Node.js, installs once and opens the dashboard. |
| Check My Setup | It shows which features are ready and never prints your keys. |
| Update Agent OS | It backs up your old code, installs the new pack and never touches your config, keys or vault. |
| README and disclaimer | They are the start-here files, including a plain-English security section. |
| Setup With AI | It is a playbook Claude Code or Codex can follow, and it stops to ask before anything paid. |
| Implementation checklist | It is the tick-box list that gets a new install running. |
| 30-day roadmap | It tells you what to set up each day, with memory first, agents next and automation last. |
| Numbered install docs | Each tab, from Hermes to video, music, leads and the AI-news radar, has its own guide. |
The download is the easy part, so here is how it slots into a working day.
In the morning, Mission Control shows me what every agent did overnight.
Oracle, a named Hermes agent, has already checked my competitors and the news and written a short report into the vault.
I drop a batch of cards on the Kanban board, such as "draft the outline", "check indexing" and "pull this week's numbers".
Then I go to the gym, and the agents work through the cards in parallel.
When I come back, the work is in Done, with notes in the vault explaining what happened.
During the day, I say "hey Hermes" out loud and get a spoken answer in about five seconds, saved to the same chat thread.
My SEO content publishes across five websites through Claude Code, with schema and indexing handled in the same run.
Anything an agent builds lands in the workspace, so I never hunt through folders again.
When I travel, I open the same dashboard on my phone through Tailscale.
The rule that makes all of this work is manual, then assisted, then automated.
Do a task by hand with the agent until you would sign your name to the output, then save it as a workflow, then hand it to an agent.
The memory layer is the piece almost everyone skips, and it is the one that matters most.
My vault passed 1,200 memories in its first month, and my Hermes desk has saved over 1,000 sessions.
Every agent reads that context before it works, so a fresh chat already knows the goal I set on Monday.
It is plain text files on your own machine, so you own it, and any new agent can be pointed at it on day one.
If you want the thinking behind this, my 3-Layer Hermes OS guide explains the brain, cockpit and memory layers.
🔥 Want the exact the Agent OS setup I run inside my Agent OS?
Inside the AI Profit Boardroom you get the installable Agent OS, step-by-step video tutorials, four coaching calls a week and 3,400+ members building real automations.
On a Mac, Update Agent OS finds the newest pack in your Downloads folder and checks the version number.
It backs up your old code, installs the new one, rebuilds and restarts, and it never touches your config, keys or vault.
On Windows and Linux, the Update With AI guide lets Claude, Codex or Cursor do the same job, and it backs up first.
Every pack carries a changelog, so you can see what is new, what is fixed and what is improved.
It is the members' version.
I share it inside the AI Profit Boardroom together with the docs, videos, updates and coaching that help people get it running.
I have not published its source on GitHub, and the free guides on this site teach the method instead.
When I searched GitHub on 9 October 2026, I found a few community repos that mention my name or the Agent OS.
None of them is published by me, and none of them is the members' pack.
If you want to start free from GitHub, these three projects are worth installing, and I have written guides on each.
| Free project | GitHub repo | What it gives you | How it fits next to an Agent OS |
|---|---|---|---|
| Hermes Agent | NousResearch/hermes-agent | The open-source long-running agent from Nous Research, under the MIT licence. | It is the agent behind my Hermes desk, so it is the best free first install. |
| Herald OS | iamlukethedev/Herald-OS | An alpha operating system with Hermes Agent as its interface, under the MIT licence. | My automations synced across Herald OS and my Agent OS, because the same Hermes runs underneath. |
| StarNet | androoAGI/starnet | A local-first pixel-art agent station, under the MIT licence. | I built StarNet into my own Agent OS as a tab, because it is fun to run agents in. |
My Herald OS guide walks through every screen, and my StarNet GitHub guide shows how to get the station running.
Herald OS is alpha software from an independent developer, Luke The Dev, and it is not affiliated with Nous Research.
StarNet is the most fun agent add-on I have tested, but I do not think it has a massive number of practical use cases yet.
Your home internet is the speed limit when you open the dashboard remotely, so expect a slight delay from far away.
A power cut at home takes the dashboard offline, so a second copy on a travel laptop is a smart backup.
Your Mac must have "prevent automatic sleeping when display is off" switched on, or your agents stop with the screen.
Running it does not have to be expensive, because everyday work can run on free local models and the heavy jobs use the subscriptions you already pay for.
If you already pay for Claude, the Claude CLI comes with that subscription, and the Agent OS plugs straight into it.
No. Julian Goldie's Agent OS is not published as a public GitHub repo. It is only available inside the AI Profit Boardroom on Skool, as an installable download with step-by-step guides and video tutorials.
Join the AI Profit Boardroom, download the dated pack from the classroom, install Node.js, and double-click Start Agent OS on a Mac. You can also ask Claude Code or Codex to follow the Setup With AI playbook in the pack.
Yes. Julian's free guide at agentos.guide/ai-agent-os shows the exact prompts he used to build his own. Free open-source projects such as Hermes Agent, Herald OS and StarNet are also on GitHub.
No. Julian has not published the Agent OS on GitHub, so any repo claiming to be it is not official. Do not run its install scripts or paste your API keys into it.
No. The updater backs up your old code and never touches your config, keys or Obsidian vault, so your memories and settings survive every update.
Skip the fake repos, download the real pack inside the Boardroom, and connect your memory first.
That is the only genuine answer to the Julian Goldie Agent OS GitHub search.
About Julian
I'm Julian Goldie, an AI entrepreneur, SEO expert and the founder of the AI Profit Boardroom, which has 3,400+ members.
I help business owners scale with AI agents, automation and SEO.
My YouTube channel has 400,000+ subscribers, and I run Goldie Agency, a seven-figure SEO agency.
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