Product Updates

ChatGPT dots can now use multiple connected computers

OpenAI says a dot can connect to multiple local computers and choose a machine for a task, letting it build or test on a dedicated device while the user keeps coding.

By Authority AI Tools Editorial Team•2026-11-13•10 min read
Last reviewed: 2026-11-13
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Authority AI Tools Editorial Team

Editorial Team

The Authority AI Tools editorial team maintains this directory using vendor documentation, dated source checks, product changelogs, and clearly identified hands-on observations where available.

OpenAI announced on November 9 that a ChatGPT dot can connect to multiple local computers, with the user choosing which computer it uses for a task. OpenAI’s example is assigning a build or test to a dedicated machine while continuing to code on a laptop. The post links to ChatGPT’s dot setup guidance, identifying this as a ChatGPT feature rather than a Codex CLI release. (https://x.com/OpenAIDevs/status/2119883176726409645; https://help.openai.com/en/articles/20001530-getting-started-with-your-dot)

Each local computer connection is optional and requires user approval. OpenAI’s setup guide says the ChatGPT desktop app must be running on the connected computer, which must remain online for local work. The guide does not yet spell out multi-computer routing steps, so use the current dot profile and task controls to select a machine and review access in the product. (https://help.openai.com/en/articles/20001530-getting-started-with-your-dot)

This feature extends dots’ existing local-computer access. OpenAI describes each dot as having its own cloud computer, with access to a user’s local computer kept separate unless the user explicitly connects and authorizes it. Review consequential work and revoke access when a computer should no longer be available to the dot. (https://openai.com/index/introducing-dots/; https://help.openai.com/en/articles/20001530-getting-started-with-your-dot)

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OpenAI says a dot can connect to multiple local computers and choose a machine for a task, letting it build or test on a dedicated device while the user keeps coding.