OpenAI Introduces Dots, Background Agents Built on GPT-6 Astra
OpenAI announced Dots, a personal agentic assistant powered by GPT-6 Astra, at its DevDay event in San Francisco, California, on September 29, 2026. TechCrunch Chief executive Sam Altman unveiled the system during the keynote address. Reuters
Dots became available in ChatGPT on September 29 for Pro and Business Premium users in eligible markets. The rollout covers ChatGPT on web, mobile and desktop. OpenAI Help For Pro users, the rollout excludes markets in the European Economic Area.
Users can launch Dots from Codex or ChatGPT. Once active, a Dot can be messaged through Slack, Teams and other organizational platforms. Text-message support is coming soon.
The agents are always on. Dots are designed to operate detached from any single piece of hardware or interface, pursuing user-defined goals in the background with minimal oversight. They can connect with more than 400 apps and learn from user feedback. Firstpost
For practitioners, the provisioning model matters more than the interface list. Individual Dots can be provisioned with specific identities, credentials and tools, which points to scoped, delegable execution rather than a shared chatbot session. OpenAI said it is working with Microsoft to integrate Dots into Agent 365 security controls.
The DevDay 2026 keynote began at 1PM ET. The Verge OpenAI had billed the September 29 event as a first look at what is next in ChatGPT, Codex and tools for building. The company held its third annual DevDay on October 6, 2025, at Fort Mason in San Francisco.
The broader context here is a shift from prompt-and-response to delegation. A chat window assumes a human in the loop for each step. A background agent with its own identity, credentials, tool grants and app connections assumes the opposite, that routine work proceeds without direct supervision and the human intervenes by exception.
In my view, that makes identity and policy the central engineering problem, not model quality. Anyone who has managed service accounts, OAuth scopes and audit logs will recognize the pattern. Persistent agents multiply the number of non-human actors inside enterprise systems. Tying Dots to existing controls in Agent 365, Slack and Teams therefore reads as a practical necessity. If OpenAI gets the scoping, observability and revocation right, always-on assistance could remove a layer of coordination overhead for software teams. If not, the same persistence creates new surface for credential sprawl and silent failure. The optimistic case, and the one worth testing first, is that well-bounded Dots let small teams sustain more parallel work without adding process weight.
