What is the best alternative to OpenAI Dots?

There is no single best answer — it depends on your needs. If you already work inside ChatGPT and want an agent that runs continuously and carries context across channels, Dots are the default option. If your priority is enterprise-wide governance, Microsoft Agent 365 is designed for that. If you want a standalone general agent outside a chat product, tools such as Manus, Claude and Google's agents are worth evaluating against your own requirements.

Is Microsoft Agent 365 a competitor or a complement to Dots?

OpenAI says it is working with Microsoft to integrate specialist Dots with enterprise governance and security controls in Agent 365. That makes the two complementary as much as competing: Dots do the work, Agent 365 governs it inside an organization.

Do I have to leave ChatGPT to use an alternative agent?

It depends on the product. Dots are reached through ChatGPT on desktop, web and mobile, and also through Slack and Teams, with texting on a limited Pro waitlist. Other platforms keep their own surfaces. Check each vendor's current documentation for where its agent actually runs.

Are these agent platforms safe for consequential work?

No always-on agent should be treated as infallible. OpenAI says Dots work on isolated cloud computers with read-only background research, auto-review and Custom Rules, and that some sensitive tasks always stay with you — but Dots can still make mistakes, so review consequential work yourself. Apply the same caution to any competitor and check its published safeguards.

OpenAI Dots Alternatives: What to Compare in 2026

OpenAI introduced Dots on September 29, 2026: always-on AI agents, each with its own cloud computer and browser, powered by GPT-6 Astra, able to connect to 4,000+ apps and work around the clock. That single description already tells you what most "agent" products are competing on — and where the choices get genuinely different.

The honest answer to "which agent should I use?" is it depends on your needs. This page is a hub: it lays out the criteria that actually separate the options, summarises the landscape, and links to a focused comparison for each major alternative. Every Dots detail here comes from OpenAI's own launch materials; where a competitor detail is not published or changes quickly, we say so and point you to the vendor's current documentation rather than guess.

What "always-on agent" actually means

It helps to separate two very different things that both get called agents. The first is task-on-request: you prompt it, it does something in a session, it stops. The second is always-on: it takes responsibility for ongoing work, runs in the background, and reports back. OpenAI is explicit that a Dot is the second kind — you start with a primary Dot you name, it learns from your feedback over time, and it can carry a project forward while handling several others.

Most alternatives sit somewhere between those poles, and vendors describe them differently. That is exactly why it is worth comparing on the underlying dimensions rather than on marketing labels.

Six questions to ask any agent vendor

Where does it run? A Dot has its own isolated cloud computer and browser. Other products may run in a session, on your device, or in the vendor's cloud — verify it.
What model powers it, and how is that disclosed? Dots run on GPT-6 Astra. Competitors disclose model choice and may change it; check current documentation.
Does it have an identity and credentials? Dots are named, and specialist Dots have their own identity, credentials and access to systems of record.
What can it connect to? Dots connect to 4,000+ apps through OpenAI's plugin ecosystem; every platform's connector catalog differs and changes.
How is it governed? Dots use read-only background research, auto-review against instructions and Custom Rules, an activity view, and OpenAI can pause or stop one. Enterprise governance is where Agent 365 matters.
Where is it distributed? Dots live inside ChatGPT (desktop, web, mobile), Slack and Teams. That built-in distribution is a real factor for teams already in those tools.

The landscape at a glance

Dots details are from OpenAI's launch materials. The category column is deliberately general: specifics vary by vendor and over time, so follow the vendor's own current documentation before relying on any of them.

Dimension	OpenAI Dots	Other agent platforms (category)
Runs where	Its own isolated cloud computer with a browser, working 24/7	Varies widely: session, device, or vendor cloud. Check the vendor's docs.
Model	GPT-6 Astra	Vendor-specific and often updated; not fixed by this guide.
Identity / credentials	Personal Dot you name; specialist Dots have their own identity and systems access	Some offer persistent agent identities, some do not. Confirm per vendor.
App connectivity	4,000+ apps via OpenAI's plugin ecosystem	Varies; catalogs change frequently.
Approvals / governance	Read-only research, auto-review, Custom Rules, activity view; can be paused	Ranges from minimal to enterprise-grade. Verify published controls.
Best fit	Ongoing, multi-step work that spans ChatGPT, Slack and Teams	Depends on your stack, governance needs and existing tools.
Primary source	OpenAI, Introducing dots	Each vendor's own documentation.

Explore the focused comparisons

Each of these pages takes one alternative and works through the same dimensions in detail, with a neutral verdict that stops short of declaring a winner.

OpenAI Dots vs ChatGPT Agent An always-on, identity-bearing Dot compared with the older on-request "agent mode" style. OpenAI Dots vs Microsoft Agent 365 Less a rivalry than a pairing: specialist Dots inside Microsoft enterprise governance. OpenAI Dots vs Manus A general autonomous-agent product, compared on reach, identity and distribution. OpenAI Dots vs Claude Agents The always-on Dot model versus Anthropic's agent tooling and Claude Code. OpenAI Dots vs Gemini Agents OpenAI's Dots against Google's agent offerings, at category level.

How to decide

Start from the work, not the brand. If a workflow is genuinely ongoing and can be reviewed, it is a candidate for an always-on agent; if it is a one-off task, an on-request approach may be simpler and cheaper. Then ask where your team already lives (ChatGPT, Microsoft, Google, or a standalone tool), because distribution decides how much new surface area an agent adds.

Before committing budget, score your workflows with our Agent Readiness Scorecard and check what is actually included in Dots pricing. Dots can make mistakes and consequential work should be reviewed; treat every vendor's safety claims the same way.

Source for Dots facts: OpenAI, Introducing dots. Independent guide; not affiliated with OpenAI.