AI Agents 2026: Grok Bot, Muse, Dots, OpenClaw and Hermes Compared

0:00 The five machines

Somewhere in the last twelve months, five products shipped that answer the same question in five different ways. What happens when a chatbot finally gets its own computer? Not a window on your screen. A machine, with a browser, a file system, and a login, that keeps working after you close the tab. This is the story of that shift, and of the five agents making it.

0:25 The one thing they share

Here is the part that matters. Every one of these five gives its agent the same thing: a virtual computer, out in the cloud, with its own browser and its own signed-in sessions. That is the whole trick. Before this, to get a machine to do something for you, the machine had to have a clean API. An interface built for programs, not for people. A lot of the software you need to get work done has no such thing. So these agents do what a person would do. They open the page. They click. They log in. The computer is the universal adapter. It is also the biggest security decision any of these companies has made, and we will come back to it.

1:06 Grok Bot

Start with the oldest of the five. On the eleventh of August, twenty twenty-six, xAI opened Grok Bot in beta, alongside Cursor. The word Bot does not mean the reply bot on X, and it is not the Grok chat app. It is a set of named AI teammates. Each one gets its own cloud computer with a desktop, a browser, a terminal, and files. You name it, you give it a job, and you message it the way you would message a colleague. On phone or desktop, same thread.

Three things make Grok Bot different from the rest. First, it learns by watching. You record yourself doing a task once, and it turns that into a reusable skill. Second, it has routines, which is a polite word for cron, so a bot can work on a schedule with no prompt at all. Third, the bots talk to each other. One can ask another for help, they share context in a thread, and one can spin up more. That is a team, not an assistant. And there is no free tier. It rides on SuperGrok and on Cursor plans, with usage billed separately. It passed four hundred thousand users in its first month.

2:15 Meta Muse

A month later, on the eighth of September, Meta shipped Muse. Internally it was called Hatch, and Meta spent extra months on security before releasing it. Muse runs on something called Muse Secure VM, a dedicated machine in the cloud that holds both the agent and your data. Sitting on that same machine, isolated at the system level, is a second agent called Sentinel. Nothing Muse does reaches the internet unless Sentinel approves it.

Meta is the most aggressive here on one specific point. Muse has no visibility into your passwords or your card. You hand it credentials, they go into a secure store, and it can use them without ever reading them. It asks before it sends an email or spends money, and it keeps a full audit trail. It can check out through Link, built by Stripe, which makes it the first agent covered by that purchase protection. And Meta says a Confidential VM is coming, where the whole machine is encrypted with a key only you hold, so not even Meta can open it. It launched free with a usage limit, and it hit the number one free app on the US iOS chart within days. Then Amazon blocked it, on privacy grounds. Shopify partnered with it. That is the market talking back.

3:31 ChatGPT Dots

Five weeks after Muse, on the twenty-ninth of September, OpenAI announced Dots at DevDay. Same promise, new vocabulary. A dot is powered by GPT six Astra, it has its own cloud computer and its own browser, and it can connect to more than four thousand apps. You talk to it inside ChatGPT, and also in Slack and Teams, and it carries the same context into every one of those rooms.

What is different about Dots is the layer above the agent. OpenAI shipped specialist dots. These are not generalists. A specialist dot has its own identity, its own credentials, hardware provisioned by your IT team, and deep integrations with your systems of record. It is an employee-shaped abstraction. And OpenAI is wiring them into Microsoft Agent 365, which is how it gets into offices. Dots start on Pro and Business Premium plans, one per user, with more to come. Pro users in the EEA, Switzerland, and the UK were excluded at launch.

4:36 OpenClaw

Now the turn. On the twenty-fourth of November, twenty twenty-five, a developer named Peter Steinberger released something he called Warelay. It got renamed twice, to Clawdbot and then Moltbot, before settling on OpenClaw in January. It is the opposite move from the four you just saw. There is no company behind it and nothing to subscribe to. It is MIT licensed, stewarded by an independent non-profit, and it has three hundred and ninety-one thousand GitHub stars.

The design decision that defines OpenClaw is the Gateway. One process, running on your own machine or your own server, is the control plane for everything: your sessions, your tools, your events, and every chat connection. Channels are plugins. WhatsApp, Telegram, Discord, Slack, Signal, iMessage, Teams, and more. And the model is a plugin too. Claude, GPT, DeepSeek, or something running on your own hardware, and swapping it changes nothing else. The catch is the price of that freedom, and it is not zero. It will not hold your hand. You secure it yourself, and the project says so plainly.

5:46 Hermes Agent

Hermes is the other open one, from Nous Research, and it is MIT licensed with two hundred and fifty-one thousand stars. Where OpenClaw is gateway first, Hermes is agent first. Its whole pitch is a learning loop. It writes its own skills from experience, improves them while it uses them, reminds itself to save what matters, and searches its own past conversations. It is the only one of these five that claims to get better the longer you leave it running.

The memory is plain files you can read. A MEMORY file, a USER file, and a personality file. Skills are markdown with front matter, the same shape OpenClaw uses. It reaches twenty-one messaging platforms, nineteen of them native, and it runs wherever you can run a process. A five dollar VPS. A laptop. A container. Your own GPU. And it is model agnostic in the same way OpenClaw is, which is why people migrate one to the other. Where it differs is the loop. OpenClaw waits to be told. Hermes writes down what it learned.

6:53 Head to head

So put them side by side. The one axis that separates them cleanly is ownership. Muse, Dots, and Grok Bot are rented. You do not choose the machine, you do not choose the model, and you can only leave by cancelling. OpenClaw and Hermes are owned. You choose the hardware, you choose the model, you can read the source, and leaving is deleting a folder.

The second axis is who it is for. Muse and Dots are built for everyone, with the learning curve removed. Grok Bot is built for people who want automation without seeing code. OpenClaw and Hermes are built for people who will read the documentation. The third axis is price. Muse is free with limits, then twenty or a hundred dollars a month. Dots comes with a paid ChatGPT plan. Grok Bot requires SuperGrok or Cursor and bills usage on top. OpenClaw and Hermes are free, and you pay only for the model you choose to use.

7:50 Which one should you use?

So which one. If you want an agent that works while you sleep and you do not want to think about infrastructure, that is Muse or Dots, and the difference is whose ecosystem you already live in. If you want agents as colleagues, learnable by demonstration, on a schedule, that is Grok Bot. If you want to own the whole thing and you are willing to run it, that is OpenClaw. And if you want an agent that teaches itself, that is Hermes. The real answer, though, is that this category is twelve months old and all five of these are the first generation.

8:24 Sources

Every number in this film came from a primary source: the OpenAI, Meta, and xAI announcement posts, the OpenClaw and Hermes GitHub repositories, and the two documentation sites. Star counts were read from the GitHub API on the fifth of October, twenty twenty-six. If you want the sources, they are in the description. Thanks for watching.