What Is Minimax M3 + Hermes Agent?
Minimax M3 + Hermes Agent is a combination of a powerful AI brain and an AI worker that can automate long business tasks. Minimax M3 is the brain, a large language model that can handle up to one million words. Hermes is the body, an AI agent that can open files, run tools, search the web, and keep going on its own.
In this episode, Julian Goldie shows how he combines these two into what he calls his "agent OS" – a single dashboard where AI workers sit side by side. They all share the same memory, so they work like a real team. This lets you point them at a job and walk away, while they grind through it for hours or even days.
Key Features of Minimax M3
Minimax M3 has several key features that make it stand out. The biggest one is its massive memory – one million words. That means it can read huge piles of text at once without slowing down. It does this using a new technique called "three added labels," which cuts the work down to about one twentieth of the old way and makes it nine times faster on long jobs, according to the company.
- One million word memory: Can handle months of messages or a giant document in one go.
- Faster long-job processing: Skips irrelevant data, so it doesn't read every word every time.
- Open-source planned: The weights will be released free within about 10 days of launch, so you can run it on your own computer.
- Compatible with tools: Hooks up with Olima, OpenClaw, and Hermes in one click.
These features make M3 built for the long stuff – the boring, grindy jobs people put off for weeks.
Setting Up Your Agent OS with M3 and Hermes
Setting up your own agent OS with Minimax M3 and Hermes is possible even with zero tech skills, according to Julian. He explains that you need a dashboard where both AI workers can live and share memory. Here are the steps he shows in the episode:
- Get a copy of his agent OS file – he provides it inside the AI Profit Boardroom, so you don't start from a blank page.
- Plug in Minimax M3 as the brain – this is your main language model.
- Add Hermes as the worker – this is the agent that will do the tasks.
- Connect both to the same memory – so they know what the other is doing.
- Set up your workspace – create folders for past images, videos, and projects.
For more detailed help, Julian runs four live coaching calls every week inside the community. You can share your screen and someone walks you through your setup on the spot.
How to Use the Agent OS for Content Creation
Once your agent OS is running, you can use it for many tasks. A great example from the episode is content creation. You can write a short welcome script, turn it into a voiceover, and make a simple thumbnail – all in one go, all saved in one folder.
The studio part is inside the dashboard. You type a line like "make an image of a friendly little robot waving hello for a welcome post," and it makes it right there. You can also make short videos and voiceovers without jumping to other apps.
- Write scripts and articles.
- Create images and thumbnails.
- Generate voiceovers for videos.
- Sort through months of messages.
- Analyze which posts brought the most new members.
Because everything saves into neat folders, you don't have to hunt for files the next day. It's all in the workspace.
Results and Test Comparisons
Julian shares some test results, but he's honest about them. The 24-hour test with 147 tries came from the company's own tests, not outside checkers. He says to take them as a strong hint, not gospel.
Still, the shape lines up with everything else. On public coding tests, M3 scored near the top, ahead of some big-name paid models. On a test for searching the web on its own, it came out ahead of one of the top models.
The company claims the new technique makes M3 about nine times faster on long jobs and cuts work down to one twentieth. Julian uses this to show that M3 is not a small player – it's playing in the big league.
Tips, Limits, and Mistakes to Avoid
One tip Julian emphasizes is to think of AI as a team, not a tool. You stop poking it and instead point it at a whole job. Also, for long tasks, you need a worker that doesn't quit – that's where Hermes shines. But there are limits.
- Don't trust company tests blindly: They are a hint, not proof.
- Don't close your tabs: Old AI forgets everything when you close the tab; the agent OS shares memory, so avoid that.
- Don't build from a blank page: Use a file to start from, like the one Julian provides.
- Don't try to code everything: None of this needs code; you just need to know how to set it up.
Avoid the mistake of waiting for things to settle down. The field is moving fast, and the people who win are those who start while it's still messy.
Who This Is For and Why It Matters
This setup is for anyone who wants to automate the long, boring, grindy jobs that eat your week. If you sort through months of messages, go through giant lists line by line, or clean up messy documents, this can save you hours. It's also great for content creators who need to make images, videos, and voiceovers quickly.
Julian says you don't need to be techie. Some of his members had never opened an AI tool a few months back, and now they run their own command centers. By the time this becomes simple and everywhere, the early folks will be way ahead.
Why it matters: the brain got bigger, the worker got tougher, and the studio fits in one box. Soon you'll be able to test M3 for free. The only question left is who learns to use this and who keeps doing it all by hand.
