AI personal cloud computing
Zo Computer
Zo Computer provides a personal cloud computer with AI agents, file storage and web hosting for individuals and businesses. Users can describe work in plain language to build websites, organize files and schedule recurring administrative tasks. Its workspace combines a real file system, remote browser, coding terminal and app connections. Built-in models include Claude, GPT and Gemini; users can also connect their own API keys or supported Codex and Gemini subscriptions.
Founded in 2023 by Ben Guo and CEO Rob Cheung, Zo Computer grew out of an earlier inference platform. Guo describes shutting down that DAG-based platform after modest success, experimenting with other ideas and then building Zo, which launched in 2025. Its technical approach puts an agent alongside persistent files and computing resources: tasks can continue in the background or run on a schedule, with personas, rules and skills shaping how the agent works.
Zo Spaces extends that workspace into lightweight websites and tools, including portfolios, blogs and private dashboards. Spaces can serve API routes, restrict access with passwords and update when underlying files change, all hosted on the same cloud computer. Zo also supports websites on custom domains. The service is owned and operated by Zo Computer Company; its terms distinguish ownership of the platform from users’ retained ownership of their content.
Explore the recordings
This archive currently contains one supplied Zo Computer recording: “Everyone Gets A Software Company — Benjamin Guo, Zo Computer”. The guide below offers several ways into that recording rather than presenting a company history. Product capabilities, examples, and arguments are attributed to the recording and should not be read as verified statements about Zo’s current product or availability.
Start here: the complete archive
Watch the catalog’s sole recording from beginning to end: “Everyone Gets A Software Company”. Benjamin Guo presents Zo as a personal cloud where an individual can keep files, run agents, host websites and APIs, and automate work. These are claims and demonstrations made in the recording, not independently verified current facts.
Product concept and ownership argument
Use the recording to follow Guo’s framing of fragmented SaaS and provider-controlled data as “technofeudalism,” followed by his case for user- or company-owned cloud agents and accumulated intelligence. This section is best for viewers interested in the presentation’s thesis rather than only its demonstrations. The terminology and conclusions are the speaker’s recorded argument.
Demonstrations and technical surface area
Follow the practical demonstrations in the recording, which cover cloud storage, model chat, scheduled automations, integrations, browser actions, service hosting, personal websites, root access, SSH, APIs, and MCP. Treat this as evidence of what was shown or described at recording time; the catalog does not establish current feature status.
Small-business automation path
Focus on the opening speaker-information-site example and case studies summarized here without customer names involving websites, scheduling, bookkeeping, customer follow-up, payment links, and related operations. The recording presents these as examples of rapid conversational building and operational consolidation. This guide omits customer names, while the supplied recording and metadata name the examples. Their inclusion in the recording does not independently verify the customers’ business outcomes.
Agents, APIs, and infrastructure path
For a technical reading, connect the portions on cloud-based agents with service hosting, APIs, MCP, SSH, and root access. Guo’s concluding position is that ownership matters more as agents operate in the cloud and accumulate useful intelligence. That conclusion is a recorded viewpoint, while the existence of this catalog entry and its supplied metadata is the present archive fact.
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1 speaker at AIE
Affiliations reflect their AIE appearances, not necessarily current employment.