Grok Bot vs Muse vs Dots vs OpenClaw vs Hermes: Five AI Agents Compared (2026)

Five AI agents shipped in the last twelve months, and they all make the same move: they give the chatbot its own computer. Grok Bot, Meta Muse and ChatGPT Dots are rented from the company that runs them. OpenClaw and Hermes Agent are software you run yourself. This is the written version of an 8-minute film, with every figure traced to a primary source.

The five machines0:00 / 8:50

The one thing all five share

Each of these agents gets a virtual computer with its own browser and its own signed-in sessions. That is the whole trick. Until now, getting a machine to do something for you meant the software had to have a clean API, an interface built for programs rather than people, and plenty of the software people need to get work done has no such thing. So these agents do what a person would do: they open the page, click, and log in. The computer is the universal adapter. It is also the biggest security decision any of these companies has made, and the film comes back to it. Watch this part (0:25)

Grok Bot (xAI): named teammates with their own computers

xAI opened Grok Bot in beta on 11 August 2026, alongside Cursor. The name does not refer to the reply bot on X or to the Grok chat app. Grok Bot is a set of named AI teammates, and each one gets its own cloud computer with a desktop, a browser, a terminal and files. You name it, give it a job, and message it the way you would message a colleague, on phone or desktop, in the same thread.

Three things set it apart. It learns by watching: record yourself doing a task once and it becomes a reusable skill. It has routines, which are scheduled runs that need no prompt. And the bots talk to each other: one can ask another for help, they share context in a thread, and one can start more, which makes it a team rather than an assistant. There is no free tier. Grok Bot needs a SuperGrok or Cursor plan, with usage billed separately, and it passed 400,000 users in its first month. Watch Grok Bot (1:06)

Meta Muse: the agent that never sees your passwords

Meta shipped Muse on 8 September 2026. Internally it was called Hatch, and Meta spent extra months on security before release. Muse runs on Muse Secure VM, a dedicated cloud machine that holds both the agent and your data. On the same machine, isolated at the system level, sits a second agent called Sentinel, and nothing Muse does reaches the internet unless Sentinel approves it.

Meta is the most aggressive of the five on one point: Muse has no visibility into your passwords or your card. Credentials go into a secure store and Muse can use them without 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. Meta says a Confidential VM is coming, with the whole machine encrypted under a key only you hold, so that not even Meta can open it. Muse launched free with a usage limit, with paid tiers at $20 or $100 a month, and reached number one among free apps on the US iOS chart within days. Then Amazon blocked it on privacy grounds, and Shopify partnered with it. Watch Muse (2:15)

ChatGPT Dots (OpenAI): specialist agents for the enterprise

OpenAI announced Dots at DevDay on 29 September 2026, five weeks after Muse. A dot is powered by GPT-6 Astra, has its own cloud computer and its own browser, and can connect to more than 4,000 apps. You talk to it inside ChatGPT and also in Slack and Teams, and it carries the same context into each of them.

What differs is the layer above the agent. OpenAI shipped specialist dots rather than generalists: each 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 it 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. Watch Dots (3:31)

OpenClaw: the open one, built around a Gateway

On 24 November 2025 a developer named Peter Steinberger released something he called Warelay. It was renamed twice, to Clawdbot and then Moltbot, before settling on OpenClaw in January. It is the opposite move from the three products above: there is no company behind it and nothing to subscribe to. It is MIT licensed, stewarded by an independent non-profit, and had 391,000 GitHub stars on 5 October 2026.

The design decision that defines it is the Gateway. One process, running on your own machine or server, is the control plane for your sessions, tools, events and every chat connection. Channels are plugins, including WhatsApp, Telegram, Discord, Slack, Signal, iMessage and Teams, and the model is a plugin too: Claude, GPT, DeepSeek or something running on your own hardware, with no other change when you swap it. The price of that freedom is not zero. It will not hold your hand, you secure it yourself, and the project says so plainly. Watch OpenClaw (4:36)

Hermes Agent (Nous Research): the one that learns

Hermes is the other open one, from Nous Research. It is MIT licensed and had 251,000 stars on 5 October 2026. Where OpenClaw is gateway first, Hermes is agent first, and its 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. Of the five, it is the only one that claims to get better the longer you leave it running.

Its 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 21 messaging platforms, 19 of them native, and runs wherever you can run a process: a $5 VPS, a laptop, a container or your own GPU. It is model agnostic in the same way OpenClaw is, which is why people migrate from one to the other. The difference is the loop. OpenClaw waits to be told, and Hermes writes down what it learned. Watch Hermes (5:46)

Rented versus owned

The one axis that separates the five 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 each one is for, and the third is price. Watch the comparison (6:53)

Star counts were read from the GitHub API on 5 October 2026, so they will have moved by the time you read this.

Which one should you use?

• An agent that works while you sleep, with no infrastructure to think about: Muse or Dots. The difference between them is whose ecosystem you already live in.
• Agents as colleagues, taught by demonstration and run on a schedule: Grok Bot.
• You want to own the whole thing and are willing to run it: OpenClaw.
• You want an agent that teaches itself: Hermes Agent.

The honest answer is that this category is twelve months old and all five of these are the first generation. Watch the decision (7:50)

Sources

Every number in the film came from one of these primary sources.

• xAI: introducing Grok Bot
• Meta: introducing Muse
• OpenAI: introducing Dots (DevDay, 29 September 2026)
• OpenClaw on GitHub
• Hermes Agent on GitHub (Nous Research)
• OpenClaw documentation
• Hermes Agent documentation

The film also has its own page, with captions, chapters and the full transcript: AI Agents 2026 on YJTOON.