Comparison
OpenAI Dots vs Manus
A standalone autonomous agent versus an always-on Dot that lives inside the ChatGPT you already use.
Last verified: September 30, 2026 · Reviewed by AstraDot editorial desk
Manus is one of the best-known standalone autonomous-agent products: an agent you use directly to carry out multi-step work. OpenAI Dots take a different route — they are always-on agents distributed inside the ChatGPT you may already use, with Slack and Teams as additional surfaces. Comparing them is mostly about where the agent lives, what it can reach, and how it is governed.
A note on method: Manus evolves quickly and its published details are the vendor's to state, so this page describes it at category level and links manus.im for specifics. Dots facts come from OpenAI's launch materials; anything OpenAI has not published is marked as such rather than guessed.
Interaction model
Both products are "agentic" in the sense that you delegate a goal rather than a single prompt. OpenAI's framing of a Dot is deliberately about continuity: you start with a named primary Dot, it learns from your feedback over time, and it can take on a project and run with it while handling several others. Manus, as a general agent product, is typically described around getting a task or project done autonomously; the exact interaction patterns are its own and change, so confirm on the vendor's site.
The useful question is whether you want an agent that persists and accumulates context for you, or one you open when you have a job to hand off.
Channel reach and distribution
This is the clearest structural difference. Dots are reached through ChatGPT on desktop, web and mobile, can message you, and are also available in Slack and Teams, with texting via iMessage/RCS on a limited Pro waitlist. That is distribution OpenAI already has. A standalone product such as Manus has to build its own surfaces and integrations rather than inherit an existing chat ecosystem. Where you already live therefore matters a lot.
App connectivity
OpenAI says Dots connect to 4,000+ apps through its plugin ecosystem, managed through your existing ChatGPT app controls. Manus has its own set of connectors and tools. Rather than treat either catalog as a fixed scoreboard, list the handful of systems you actually need and check them against each vendor's current documentation — we do not restate competitor coverage here because it changes.
Identity, permissions and governance
For specialist Dots, OpenAI states that an organizational agent has its own identity, credentials, and access to systems of record, and that these are being integrated with enterprise governance via Microsoft Agent 365. For any standalone agent, permissions and identity handling are vendor-specific; check the vendor's current documentation rather than assume parity. Our security & privacy guide covers OpenAI's own controls in depth.
Side by side
Competitor entries are intentionally general; Manus details change and should be verified at the source.
| Dimension | OpenAI Dots | Manus (category) |
|---|---|---|
| Runs where | Its own isolated cloud computer with a browser, 24/7 | A standalone agent product; runtime details are the vendor's to state. |
| Model | GPT-6 Astra | Vendor-specific and subject to change; confirm with Manus. |
| Identity / credentials | Named Dot; specialist Dots hold their own identity and systems access | Not asserted here — check Manus's current docs on access and permissions. |
| App connectivity | 4,000+ apps via OpenAI's plugin ecosystem | Own connector set; coverage changes, so verify at the source. |
| Approvals / governance | Read-only research, auto-review, Custom Rules, activity view; can be paused | Vendor-specific; review the product's published controls. |
| Best fit | Ongoing work inside ChatGPT, Slack and Teams | A standalone agent evaluated on its own terms. |
| Primary source | OpenAI, Introducing dots | manus.im |
It depends on your needs
Choose a Dot when the value is an always-on agent that inherits your existing surfaces and can be reached where your team already works. Choose Manus when you want to evaluate a standalone general agent on its own merits, independent of any chat ecosystem. Some teams will do both, and the right call is usually the one that reduces the number of new places your work has to live.
Whichever you pick, the same discipline applies: define the workflow, decide what may run unattended, and review consequential output. Autonomous agents — Dots included — can make mistakes.
Source for Dots facts: OpenAI, Introducing dots. Independent guide; not affiliated with OpenAI or Manus.