OpenBot + Deepseek is the best Grok Bot & Muse Alternative!

0:00[music] Hi, welcome to another video. If you want to see where every AI lab is heading right now, look at Grockbot. SpaceX AI. The company behind Grock took an internal tool its own teams were using for sales, marketing, operations, and engineering work and turned it into a product. And Grockbot is not another chat window. You create a bot. You give it a name and a job. And that bot lives on an always on cloud computer with its own browser, file file system, and ant terminal. You message it the way you message a co-orker. It signs in to the tools you already use. It runs multi-step work from start to finish. It

0:37keeps going after you close your laptop, and it can run routines on a schedule and handwork to other bots. It only comes back to you when something actually needs your approval. That direction is obviously right, and I think everyone watching this channel already feels it. Nobody here needs another demo of a model answering one prompt. You already run agents every day. The next step was always going to be persistent teammates with a standing job, a memory of the work, and a computer of their own instead of disposable chats that forget everything the moment you close the tab. Grockbot is one of the clearest versions of that

1:06idea so far. Which is exactly why it is worth looking at the trade-offs baked into it. Because with Grockbot, the computer is not yours. Your bots and their files live on a cloud computer hosted for your account in the United States. Your login stay signed in there. Model selection is managed for you rather than chosen by you. And access comes bundled with paid cursor plans and super gro subscriptions. For a lot of people, that managed setup is the whole point and fair enough. But if you are anything like me, you already pay for a chat GPT plan for Codeex, a Claude plan for Claude Code, maybe Gemini or Grock

1:41on top of that. And the last thing you want is another walled garden that ignores all of it and asks you to trust someone else's computer with the work. That gap is where today's project lives. So, let's get right into it. But before we do that, let me tell you about today's sponsor, Switch AI. If you're already using AI agents for coding, the tricky part is bringing their work into the team conversation and keeping everyone on the same page. Switch rooms gives you shared rooms where people and connected agents can collaborate with conversation history, instructions and resources in one place. So for example, a coding agent can take part in a shared

2:19conversation with a teammate and its work becomes part of that collaboration instead of staying isolated in a separate session. You could have a teammate join the room, catch up on the shared history and continue from there without relying on one person to relay everything. your teammates agents can join the room and start working as part of the team in the same way. Switch is open source and self-hostable too, which is pretty cool if you want more control

2:43over your setup. And the idea is simple. You can switch the agent, switch the model, and keep the team context in the room. One important detail, shared room context doesn't mean switch transfers and agents private memory or internal reasoning. It gives the team a shared place to work with connected agents while the agents themselves remain the tools you choose to use. If you want to try it, check out Switch AI through the

3:06link in the description. Now, back to the video. This is OpenBot from openbot.run. And the cleanest way to describe it is the Grockbot idea rebuilt to run on your own computer with the harnesses and the plans you already pay for. OpenBot is a free desktop app for Mac, Windows, and Linux with iPhone, Android, and web apps that connect back to your machine. So, you can talk to your agents from your phone while the work stays where it started. The source code is public on GitHub under Nightly Labs/Openbot. And I will come back to the license in the verdict because there is a catch there. You should hear from

3:38me directly. Inside the app, every agent is persistent in the same sense Grockbot made popular. It has a name, its own instructions, its own workspace, and its own conversation. and it is still there tomorrow with the context of what it did today. The big difference is what powers each teammate. Openbot sells you no model. You connect Codeex with your chat GPT plan, Claude code with your Claude plan, Gemini with a Google AI pro or ultra plan, Grock with your Gro account or an XAI API key. And the same pattern continues through Cursor, Klein, Musecode, Open Code Pi, and Inception Mercury. You can also plug in any agent

4:16that speaks the agent client protocol like goose or QN code pointed at any open AAI compatible endpoint or run local models through Ola and LM Studio. So the researcher on your team can sit on one provider, the coder on another and the cheap background checker on a free or local model because you pick the provider, the model and the reasoning effort per agent instead of accepting whatever a managed service picks for you. That per agent choice leads to the two features I think frequent agent users will appreciate most. First, when you change an agent's provider, the agent keeps its role, its workspace, and its conversation. You are changing the

4:52engine, not firing the teammate and starting again. Second, when a plan hits its limit, or a provider is overloaded or down, an agent can move to a backup model on another provider and keep working with a note in the chat showing the switch. If you have ever watched a long task die because a weekly limit ran out in the middle of it, you do not need me to explain why that one hurts in a good way. The team behavior will also feel familiar if Grockbot interested you. Agents in OpenBot message each other, hand off tasks, and review each other's work in shared channels. So, one agent can take a bug, fix it, pass it to

5:25a second agent for review, and let a third close the loop without you relaying every message by hand. Each channel task has one clear owner, and you get proper controls over delegation. including stop, resume, reassign, archive, and restore. There is a built-in browser the agents can open, read, and control, which matters for all the real work that lives behind a login with no clean API. And when an agent is busy, you do not wait around. You send the next job anyway. It waits in a

5:53queue. You can pause, resume, or cancel. And you can steer work that is already running. Routines cover the always on side of the story. work can start on a schedule and on Mac and Windows that keep this computer awake option stops the machine sleeping on power so those routines actually fire on time agents can also answer in Slack Discord and Telegram and there is a voice pane where local models handle the speech side so only the text goes to the agent vault feature keeps login and payment cards on your computer encrypted by the operating system with one password and bit warden connections and agents only see a card

6:27name and its last four digits while you approve the first fill on each site I am listing these quickly on purpose because the pattern matters more than any single checkbox. Openbot keeps trying to move the sensitive parts. Your files, your chats, your login back onto hardware you control. Now, the honest trade-off against Grockbot is sitting right there in that sentence. Local first means the computer that runs Openbot has to stay on while your agents work. where Grockbot keeps going in the cloud with nothing switched on at your end, Openbot's answer is to run it on a desktop or a home server that stays on while your laptop sleeps, or to use one

7:04of their hosted servers in the EU from €20 or $25 a month if you want the always on behavior without running your own box. There is also a Teams offer where they run managed servers and set the whole thing up around your company and your tools. So, you do have a path to the Grockbot lifestyle inside Openbot. You just choose it instead of having it chosen for you. And local first is not offline. To be clear, your chosen provider still receives the prompts your agents send it. And pages

7:33your agents open still use the network. What stays home is the workspace, the conversations, the files, and the browser data, not the model calls themselves. Getting started is simple. You download the app for Mac OS 13 or newer on Apple, Silicon or Intel, Windows 10 or newer or Linux as an app image. You connect a provider you already have and then you describe the agent you want in one prompt. Openbot drafts the teammate from that description. You check and edit its instructions before you save it like a sensible person and you can send it work straight away. For the demo, I am not going to create one generic assistant

8:08and ask it trivia. That proves nothing. I will build a tiny team the way you actually would. One agent for research, one agent for coding, different providers under each because that is the point of this app. Then I will put them in one channel, hand the researcher a question that needs the built-in browser, and let it pass the result to the coder instead of me copying text between two windows like it is still last year. Let's send it and see. While that first task is running, I will cue a second job behind it because that cue is the difference between a teammate and a chat you have to babysit. And when the

8:41handoff happens, watch what you're actually reviewing. You see which agent owns the task, what it passed on, and what came back in one shared history instead of three tabs and your own memory holding the project together. Then to test the promise that matters when a limit hits, I will move one of these agents to a different provider mid-con conversation and check that its workspace and context came with it. If

9:03that swap feels boring on camera, good. Boring is what reliable infrastructure is supposed to feel like. Before the verdict, you need the warning in full because Openbot itself puts it in full and I respect that. This is a development preview and right now agents run with full access and no peraction approval after the first launch consent. In plain words, an OpenBot agent can read and change files, run commands, use the network, and control the built-in

9:30browser without asking you each time. That is a lot of trust to hand any agent on your real machine. And Grockbot's separate cloud computer exists partly to keep that blast radius away from your laptop. So, run Openbot only with agents and tasks you trust, keep real backups, and consider a spare machine or a server if you plan to let teammates run all day. Do not skip that paragraph just because the app is free and the demo looked clean on money. The app itself costs zero with no locked features and your spend stays with the plans and API keys you already have plus the optional hosted server if you go that route. The

10:02catch I promised you is the license. The source is public and you can read and run it freely for non-commercial use like personal projects, study and research. But it ships under polyform non-commercial 1.0.0. So commercial use needs a separate license that is source available with a real restriction attached and team should price that conversation in before building on it not after. So overall it's pretty cool and I think openbot gets the important thing right. Grockbot showed everyone the shape of the product a named teammate with its own computer that finishes work while you're gone. Openbot takes that same shape and asks the question this audience was always going

10:38to ask. Why is the computer theirs? Why is the model theirs to choose? and why am I paying again for plans I already own? Running the team on your machine, swapping engines without losing the teammate and falling back when a limit hits are not small features. If agents are already part of your working day, they are the difference between renting co-workers and owning the office they

10:56sit in. I'd recommend it like this. Choose Grockbot if you want the fully managed version. You already live on Cursor or Super Grock, and keeping no computer on matters more to you than controlling the stack. Choose Openbot if you already pay for Codeex, Claude, Gemini, or Grock plans. Your files and chats need to stay on your own hardware and you want a free app whose code you can actually read. Just respect the preview warning. Start it on work you can afford to lose and judge it the way you would judge a new hire on whether the handoffs and the follow through save

11:21you real time by the end of the week. Overall, it's pretty cool. Anyway, let me know your thoughts in the comments. If you like this video, consider donating through the super thanks option or becoming a member [music] by clicking the join button. Also, give this video a thumbs up and subscribe to my channel. I'll see you in the next one. Until then, bye. Heat. Heat. [music]

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