OpenAI Launches dots: Always-On GPT-6 Astra Agents That Work From Their Own Cloud Computers
By Michal Sutter β September 29, 2026
OpenAI just introduced dots at DevDay 2026. dots are persistent AI agents powered by GPT-6 Astra. Each dot gets its own cloud computer and browser. It works across 4,000+ apps through ChatGPT plugins and keeps running after you log off.
Is it deployable today? Yes, as a managed product. dots are rolling out in ChatGPT for Pro and Business Premium users in eligible markets. Enterprise, Edu, and Healthcare workspaces get a beta once an admin enables it. There is no self-hosted or open-weights option.
What Is a dot?
A dot turns ChatGPT from a request-and-response loop into a standing assignment. You give it a goal, a name, and boundaries. It then pursues that goal around the clock and learns from your feedback. Each user starts with one primary dot.
To be honest, much of this was already possible with Codex and similar agent harnesses. The change here is packaging: one persistent agent, one identity, one dedicated machine.
How a dot Works
- Own computer: Each dot runs on a separate cloud computer with a browser. Your laptop stays isolated unless you connect it. You can open the dot's computer at any time to inspect its work.
- Tools: It uses the plugins you connect across 4,000+ apps. It can also start tasks in Codex and ChatGPT Work for research, analysis, documents, and software.
- Surfaces: You can message or call your dot in ChatGPT on web, desktop, and mobile. Slack and Teams are supported, with texting coming soon.
- Proactive research: When you are not working with it, the dot looks for ways to help. In this background mode, connected apps are read-only, so it cannot send messages or change content.
The model underneath also matters. In OpenAI's latency simulations, GPT-6 Astra scores 72.6% on OSWorld 2.0 at roughly real-time speeds β a benchmark for agents operating graphical desktop environments, which is central to the dots premise. OpenAI frames this as the first GPT generation tuned for sustained, always-on agentic workloads rather than single-turn conversations.
Why This Matters in 2026
The launch lands in the middle of an industry-wide shift from stateless chatbots to persistent agents. Throughout 2026, Google, Anthropic, and Microsoft have all pushed variants of always-on assistants, but most still run inside the user's session or a shared sandbox. dots go further by giving each agent a dedicated machine and a stable identity β closer to hiring a coworker than prompting a tool.
That framing also explains the packaging constraints. A persistent agent with write access to your apps is a security surface, which is why background mode is read-only and why Enterprise rollout requires explicit admin consent. It is also why OpenAI is not offering self-hosted weights: the model, the sandbox, and the app integrations have to be governed together.
What to Watch
- Pricing and limits: One primary dot per user is the starting point. Expect metered compute for additional dots or heavier background workloads.
- Trust and auditability: The ability to open a dot's computer and inspect its work is a deliberate design choice, but enterprise buyers will want logging, retention, and policy controls on par with existing SaaS governance.
- Competitive response: If dots gain traction, expect rivals to ship comparable "agent with its own VM" offerings, and expect the benchmark conversation to shift from chat quality to long-horizon task completion.
For developers and teams evaluating dots today, the practical question is not whether the agent is capable, but whether your workflows and compliance posture are ready for a teammate that never clocks out.
via MarkTechPost