product updateOpenAI

OpenAI's dots agent can now connect to multiple local computers and split tasks across them

TL;DR

OpenAI announced on November 9 (US time) that its always-on agent tool dots can now connect to multiple local computers. Each machine can be given a separate task. The feature is available to Pro, Business Premium and Enterprise plan users in eligible regions.

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OpenAI announced on November 9 (US time) that dots, its always-on agent tool, can now connect to multiple local computers and assign a different task to each one. The news was reported in Japanese by ITmedia AI+ on November 10.

What changed

dots could already operate computers in the cloud, and it could also be given control of a user's own local computer. With this update, several local computers can be connected at once, so the work can be divided among them.

OpenAI gave three example uses:

  • While the user develops an iOS app on a first Mac, a second Mac tests the changes in Xcode and sends the user screenshots of the test screen.
  • The user prepares a laptop and a machine with an older SDK, runs the same test on both, and compares the results.
  • A second computer runs UI click tests while the user keeps working freely on the first computer.

Background on dots

OpenAI announced dots in September as an always-on agent tool. It is built on the company's GPT-6 Astra and GPT-6.1 Terra models.

Availability

The feature is offered to users on the Pro, Business Premium and Enterprise plans in eligible regions. According to OpenAI's announcement, Japan ranks second among countries by number of dots users. OpenAI posted the announcement on X.

What this means

Until now, dots could drive either a cloud computer or a single local one. Multiple local connections let one instruction spread across several of a user's own machines, so each machine can run a separate job.

The examples OpenAI chose point to two uses. One is running tests on a second machine while the user keeps working on the first. The other is running the same test on machines with different setups, such as one with an older SDK, and comparing the results. In the iOS example, the agent also sends the user screenshots of the test screen from the second Mac.

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