GrokBot vs OpenBot: Cloud or Local AI Teammates?
GrokBot runs persistent AI agents in xAI's cloud. OpenBot runs them on your own machine with your own model plans. Here's how they compare.
What’s the difference between GrokBot and OpenBot?
GrokBot is xAI’s managed, cloud-hosted take on persistent AI agents: you create a named bot with a job, and it runs on an always-on cloud computer with its own browser and terminal, bundled into Cursor or SuperGrok subscriptions. OpenBot is a free, open-source desktop app that builds the same kind of persistent teammate, but runs it on your own machine using AI plans and API keys you already pay for (ChatGPT, Claude, Gemini, Grok, and others). The core trade-off is managed convenience versus local control.
TL;DR
- GrokBot started as an internal xAI tool for sales, marketing, ops, and engineering work, then shipped as a product where each bot gets its own always-on cloud computer with a browser, file system, and terminal.
- OpenBot rebuilds that same persistent-teammate idea as a free desktop app for Mac, Windows, and Linux, with mobile and web clients that connect back to the machine actually doing the work.
- Model choice is the biggest philosophical split: GrokBot manages the model for you as part of a bundled subscription, while OpenBot lets you assign a different provider (Codex, Claude Code, Gemini, Grok, Cursor, Cline, local models via Ollama or LM Studio) to each individual agent.
- Agent portability is a standout OpenBot feature: you can switch an agent’s underlying model mid-conversation and it keeps its role, workspace, and chat history, and agents can automatically fail over to a backup provider if one hits a rate limit or goes down.
- Multi-agent teamwork works in both systems: agents can message each other, hand off tasks, and review each other’s output in shared channels instead of a human manually relaying context between tools.
- “Local-first” doesn’t mean offline: OpenBot keeps your files, chats, and browser data on your own hardware, but prompts still go out to whichever cloud model provider you connect.
- OpenBot ships with real caveats: it’s a development preview where agents currently get broad file, command, network, and browser access without per-action approval, and its license (Polyform Noncommercial 1.0.0) restricts commercial use without a separate agreement.
How does GrokBot’s cloud-agent model work?
GrokBot grew out of an internal tool xAI’s own teams used for day-to-day sales, marketing, operations, and engineering tasks before it became a standalone product. Instead of a chat window you type into, you create a bot, give it a name and a job, and that bot runs on a dedicated cloud computer that stays on even after you close your laptop. Each bot gets its own browser, file system, and terminal, so it can sign into the tools you already use, work through multi-step tasks end to end, run on a schedule, and hand work off to other bots. It only pings you when something genuinely needs a human decision.
That’s a meaningful shift from the single-prompt chatbot model most people are used to. It treats the agent less like a search box and more like a coworker with a standing job and a memory of what it already did. Access comes bundled with paid Cursor plans and SuperGrok subscriptions, and the bots, their files, and their logins live on cloud infrastructure hosted for your account, not on your own hardware.
How does OpenBot’s local-first approach work?
OpenBot takes the same “named agent with a persistent workspace” concept and runs it on hardware you control. It’s a free desktop app (Mac, Windows, Linux) with iPhone, Android, and web clients that connect back to the machine actually running the agents, so you can check in from your phone while the work itself stays local. The source code is public on GitHub.
Inside the app, each agent has its own name, instructions, workspace, and conversation thread that persists across sessions, mirroring the “still there tomorrow” behavior GrokBot popularized. The difference is that OpenBot doesn’t sell you a model at all. You bring your own: Codex through a ChatGPT plan, Claude Code through a Claude plan, Gemini through a Google AI Pro or Ultra plan, Grok through an xAI account or API key, plus support for Cursor, Cline, Muse Code, Open Code, Pi, Inception Mercury, and any tool that speaks the agent client protocol (like Goose or Qwen Code) pointed at an OpenAI-compatible endpoint, including fully local models run through Ollama or LM Studio.
That per-agent provider choice means you can run a researcher on one model, a coder on another, and a disposable background task on a free or local model, picking the provider, model, and reasoning effort individually instead of accepting whatever a managed platform defaults to.
What happens when you hit a usage limit or outage?
This is where OpenBot’s design diverges most sharply from a bundled cloud service. Because each agent’s provider is just a connection you configure, you can swap it without losing the agent itself. Change the underlying model, and the agent keeps its role, its workspace, and its full conversation history. You’re changing the engine, not starting over with a new hire.
Plans first. Then code.
Remy writes the spec, manages the build, and ships the app.
The same mechanism powers automatic failover: if a plan hits its usage cap or a provider goes down mid-task, an agent can shift to a backup model on another provider and keep working, with a note in the chat log showing the switch happened. For anyone who has watched a long-running agent task die because a weekly quota ran out halfway through, that’s a direct fix for a real pain point rather than a cosmetic feature.
Can agents work together as a team in either platform?
Yes, and this is where both tools lean into the “teammate” framing rather than the “tool” framing. In OpenBot, agents can message each other inside shared channels, hand off tasks, and review one another’s work. One agent can pick up a bug, fix it, pass it to a second agent for review, and let a third close the loop, all without a human manually copying context between separate chat windows. Each task in a channel has one clear owner, and there are controls to stop, resume, reassign, archive, and restore work in progress. A built-in browser lets agents read and interact with sites that don’t have a clean API, which covers a lot of real-world work that lives behind a login.
OpenBot also supports scheduled “routines” for always-on behavior, with a “keep this computer awake” option on Mac and Windows so scheduled jobs actually fire when the machine would otherwise sleep. Agents can respond through Slack, Discord, and Telegram, and a vault feature stores login credentials and payment details locally, encrypted by the OS and protected by a password, integrating with Bitwarden so agents only ever see a card name and its last four digits while a human approves the first autofill on any given site.
GrokBot’s team behavior works differently in that it’s built into the managed cloud layer from the start: bots can hand work to other bots as part of the same infrastructure, since everything already lives on xAI’s servers rather than being stitched together across providers you manage yourself.
Is OpenBot actually “local” or still cloud-dependent?
It’s local-first, not offline. The workspace, conversation history, files, and browser data stay on your machine (or your own server), but the model calls themselves still go out to whatever provider you’ve connected. If an agent is running on Claude or Gemini, your prompts are still leaving your machine and hitting that provider’s cloud infrastructure. What OpenBot keeps local is the orchestration layer and the sensitive data around it, not the inference itself.
The practical catch is that your computer has to stay on for agents to keep working, unlike GrokBot’s cloud compute, which runs regardless of your laptop’s power state. OpenBot’s answer is to let you run it on a desktop or home server that stays powered while your laptop sleeps, or to use one of its own hosted servers (based in the EU, priced from roughly $20 to $25 a month) if you want always-on behavior without maintaining your own box. There’s also a managed team offering for companies that want the whole setup handled for them.
Is OpenBot worth using over GrokBot?
Other agents start typing. Remy starts asking.
Scoping, trade-offs, edge cases — the real work. Before a line of code.
It depends on what you’re optimizing for. If you want a fully managed experience, already pay for Cursor or SuperGrok, and don’t want to keep any machine running yourself, GrokBot’s cloud-hosted model removes that operational burden entirely. If you already pay for multiple AI plans (ChatGPT, Claude, Gemini, Grok) and want your files, chats, and credentials to stay on hardware you control, with the freedom to assign different models to different agents, OpenBot is built around exactly that.
The honest caveat is that OpenBot is explicitly a development preview. Agents currently run with broad access to files, commands, the network, and the browser after a single initial consent, without per-action approval. That’s a meaningful amount of trust to extend to software running directly on your own machine, and it’s part of why GrokBot’s separate cloud computer exists in the first place: to keep that blast radius away from your laptop. Anyone trying OpenBot should start with low-stakes tasks, keep backups, and treat early use the way they’d treat onboarding a new hire: watch closely before handing over anything that matters.
There’s also a licensing detail worth knowing before building anything serious on it. OpenBot’s code is public and free to read and run for personal use, study, and research, but it ships under the Polyform Noncommercial 1.0.0 license, meaning commercial use requires a separate license agreement. That’s a real constraint, not a formality, and it’s worth sorting out before investing engineering time into it.
Frequently Asked Questions
What is GrokBot?
GrokBot is xAI’s persistent AI agent product, built from an internal tool xAI’s teams used for sales, marketing, operations, and engineering. Each bot runs on its own always-on cloud computer with a browser, file system, and terminal, and access comes bundled with paid Cursor or SuperGrok subscriptions.
What is OpenBot?
OpenBot is a free, open-source desktop app for Mac, Windows, and Linux that lets you create persistent AI agents running on your own hardware. It connects to AI plans and API keys you already have (ChatGPT, Claude, Gemini, Grok, and others) rather than bundling its own model.
Does OpenBot run completely offline?
No. OpenBot keeps your workspace, conversation history, files, and browser data on your own machine, but the actual model calls still go out to whichever cloud provider you’ve connected the agent to.
Can OpenBot agents keep running if I hit my AI plan’s usage limit?
Yes. OpenBot supports automatic failover, where an agent can switch to a backup provider if its primary model hits a usage limit or goes down, continuing the task with a note in the chat showing the switch happened.
Is OpenBot free to use commercially?
The app itself is free and the source is public, but it’s licensed under Polyform Noncommercial 1.0.0, which restricts commercial use. Businesses need a separate license before building commercial products on it.
