Zo Computer is a personal AI cloud computer. It gives you a persistent Linux server, 100GB of cloud storage, and an always-on AI you can reach from anywhere. It is not a chatbot. It is infrastructure you own, with AI built in.
Most AI tools give you a conversation window. Zo gives you a cloud computer. Your files live there. Your projects live there. Your AI runs there, even when you close the browser.
That distinction matters more than it sounds. Persistent compute changes what AI can do for you.
What Zo Computer actually is
Think of it as a personal cloud computer that also happens to have one of the latest AI models available at all times.
You get a Linux server running in the cloud. You get 100GB of storage for documents, code, images, and projects. You get an AI you can text from your phone, chat with in a browser, or connect to your developer tools via an MCP server.
The AI is not a separate product layered on top. It is native to the computer. It can read and write your files. It can run code. It can schedule tasks that execute while you sleep.
Zo is the rare AI product where the compute and the AI are the same thing — not two products duct-taped together.
Who built Zo and who backs it
Zo Computer was founded by Rob and Ben. Rob was the first engineer at Substack. Ben was an early engineer at Stripe. Both have experience building products that developers and power users rely on at scale.
The company is backed by the Collisons (founders of Stripe) and Guillermo Rauch (founder of Vercel). That backing reflects a specific thesis: that personal cloud infrastructure is the next wave of AI adoption, not just another chat interface.
Zo launched in June 2026. It is described as the original inspiration for OpenClaw, the open-source self-hosted alternative that followed. The GitHub repository is at github.com/zocomputer/Zo and documentation lives at zocomputer.mintlify.app.
How Zo differs from a chatbot
A chatbot gives you a conversation. When you close it, nothing persists. There is no file system. There is no server. There is no memory of what you did last week unless you re-paste it.
Zo is different in three concrete ways.
- Persistent compute. Your Linux server stays on. Code runs, tasks execute, and services stay live even when you are not actively using Zo.
- A real file system. You have 100GB of cloud storage with a full Linux filesystem. Documents, code repositories, images, and project folders all live there permanently.
- AI with real tools. The AI on Zo can execute shell commands, read and write files, search the web, generate images, run Python or JavaScript natively, and call external services. It is not limited to generating text.
A chatbot answers questions. Zo runs things.
Core features at a glance
| Feature category | What you can do | Example use case |
|---|---|---|
| Linux server | Run persistent cloud compute | Host a backend API that’s always online |
| File storage | Store documents, code, images | Access your project files from anywhere |
| AI conversation | Chat with latest AI models | Ask questions, generate content, brainstorm |
| Task scheduling | Automate recurring AI tasks | Daily email briefing delivered to your phone |
| Website hosting | Deploy React apps, APIs, databases | Launch a personal site with HTTPS and custom domain |
| MCP server | Connect Claude Code, Cursor, Codex to your Zo | Give your IDE access to your cloud files and tools |
| Integrations | Connect Gmail, Notion, Airtable, Dropbox, Spotify | Summarize inbox on a schedule |
For a full walkthrough of each feature, see Zo Computer features and how it works.
Who Zo Computer is for
Zo is designed for three types of users.
- Developers. The MCP server connects Claude Code, Cursor, Gemini CLI, and Codex directly to your Zo. Your IDE gets access to your cloud files and all 50+ built-in tools. For more on this, see Zo Computer for developers: MCP and API guide.
- Power users. If you have projects, files, and workflows that currently live across five different tools, Zo consolidates them. One persistent cloud computer with AI built in.
- Teams wanting persistent AI. A shared Zo setup can run scheduled reports, monitor key metrics, and deliver briefings, without any human touching it between runs.
The common thread is a need for AI that does more than answer questions. These users want AI that runs things, remembers things, and keeps working when they are not watching.
Task scheduling: AI that works while you sleep
This is one of Zo’s most underused capabilities. You can schedule AI tasks to run on a recurring basis and have the output delivered via email or SMS.
Practical examples include:
- Daily email briefing. Zo checks your inbox, summarizes what matters, and texts it to you before your first meeting.
- Website monitoring. Zo checks a competitor’s pricing page every morning and alerts you to changes.
- Report generation. Zo pulls data from Airtable, writes a formatted summary, and emails it to your team every Friday.
- Social media posting. Zo drafts and posts content on a schedule you define.
No automation software required. No Zapier. You describe the task to Zo and it runs.
Website and app hosting
Zo lets you host websites, web apps, backend services, and databases directly from your personal server.
React apps, API servers, and databases all run with permanent URLs, HTTPS, and support for custom domains. This is production-grade hosting built into the same environment where your AI and files live.
For a developer, this means no separate hosting bill and no context-switching between your dev environment and your deployment environment. It all lives in one place.
Zo’s data ownership model
Zo does not sell your data. It does not run advertising. It does not train AI models on your files or conversations.
Your files and projects are hosted in your own personal cloud. You bring your own API keys on any plan. This is a fundamentally different model from AI products where your data is the product.
For users who want AI that is genuinely personal — private files, private conversations, private compute — Zo is one of the very few options built with that principle from the start.
Pricing
Zo offers three plans. For a full breakdown, see Zo Computer pricing.
- Free. 100GB storage, access to AI models, host one project. The server goes to sleep when inactive.
- Basic ($18/month). Always-on compute. Includes $10/month in AI credits. AI usage beyond that is charged at cost.
- Ultra. Higher compute allocation and $100/month in AI credits included. Priced for heavier users.
All plans let you bring your own API keys. AI usage is charged at cost on all plans, which means Zo does not mark up your AI consumption.
The free plan is a genuine entry point, not a trial. The server sleep limitation is the main constraint. For any workflow that needs to stay live, Basic at $18/month is the practical starting point.
For a direct comparison with Perplexity Computer, which runs $200/month, see Zo Computer vs Perplexity Computer.
Common questions on Zo Computer
”Is Zo Computer the same as an AI chatbot?”
No. A chatbot gives you a conversation window with no persistent state. Zo gives you a Linux server with 100GB of cloud storage and an AI that can read and write files, execute code, run scheduled tasks, and host services. The AI is part of the infrastructure, not a standalone product.
”Does Zo store or train on my data?”
Zo does not sell user data, run advertising, or train AI models on user data. Your files and projects are hosted in your own personal cloud. You control what lives there.
”What can I host on Zo?”
You can host React apps, API servers, databases, and backend services. Zo supports permanent URLs, HTTPS, and custom domains. It is production-grade hosting built into your personal cloud.
”What is the MCP server for?”
The MCP server connects developer tools like Claude Code, Cursor, Gemini CLI, and Codex directly to your Zo. This gives your IDE access to your cloud files, connected apps, and all of Zo’s built-in tools. For developers, it collapses the gap between your coding environment and your cloud infrastructure.
”What integrations does Zo support?”
Zo integrates with Gmail, Google Calendar, Notion, Linear, Airtable, Dropbox, and Spotify. You can use these integrations in scheduled tasks, AI conversations, or automated workflows.
”How does Zo relate to OpenClaw?”
Zo Computer is described as the original inspiration for OpenClaw. OpenClaw is an open-source, self-hosted alternative that runs locally and requires technical setup. Zo is a managed personal cloud product. The two share philosophical DNA but serve different users.
Start with Zo or get help deploying it
Zo Computer is a practical starting point for anyone who wants AI that is more than a chatbot. The free plan lets you explore without commitment.
If your team needs persistent AI infrastructure — not just another chat window — Zo is one of the most direct paths to get there.
Path one: sign up directly. Go to zo.computer and start with the free plan. Explore the Skills registry at zo.computer/tools. Connect your first integration and schedule a simple recurring task this week.
Path two: bring in a partner. Phos AI Labs helps teams deploy AI infrastructure like Zo in a way that fits their existing workflows and data. Thirty minutes, no deck. Start here.