ChatGPT dots vs Meta Muse: Access, Memory, and Ongoing Goals
Compare ChatGPT dots and Meta Muse by availability, goal setup, connected apps, memory, approvals, and the controls for reviewing or stopping work.
- ChatGPT dots and Meta Muse can pursue ongoing goals on their own cloud computers, but access depends on the account and rollout available to you.
- Create a dot on desktop, then use its mobile app where supported; Muse launched in the US with Android, iOS, web, and WhatsApp access.
- Compare the sources each agent may read, what it saves in memory, and when its permissions require approval before allowing a recurring goal.
- A dot has an explicit Pause control; Muse offers goal and activity controls, but browser takeover or silenced notifications should not be mistaken for a universal pause.
Choose by Access and Control
ChatGPT dots vs Meta Muse is a comparison of ongoing-goal agents, not simply two chat screens. OpenAI describes a dot as an always-on agent with its own cloud computer, connected apps, and memory. Meta describes Muse as a personal agent with a cloud computer that can keep working toward long-term goals while its app is closed. Both can use context over time, so the first decision is whether your account can use the product and the second is how much source access and autonomy the goal needs.
A useful starting point is a read-only weekly planning brief. It can reveal whether an agent has the right sources, preserves dates and owners, and gives you a result you can inspect before allowing edits or messages. Do not treat a fluent update as proof that a connected calendar or project record was changed. If the desired outcome is an Android memo or calendar action, that is a separate phone-tool decision.
Neither product has a universal advantage for every reader. A dot may be unavailable for your plan or region; Muse's launch availability is geographically limited. Their memory, approval, and stopping controls also differ. Check the account you actually have, then start with a narrowly defined goal whose output can be checked against known sources.
Check Access Before Creating an Agent
As of September 30, 2026, OpenAI's dot setup guide describes a gradual rollout. Pro access excludes the EEA, Switzerland, and the UK. Business Premium is available in supported ChatGPT regions, while Enterprise, including Edu and Healthcare, has an administrator-enabled beta. Those categories do not guarantee that a dot appears in every eligible account immediately.
Creation requires the ChatGPT desktop app or desktop web. After creating a dot, you can chat with it in the mobile app where available, including on Android, but you cannot create one in the Android app or use it on mobile web. Local computer access is optional, off by default, and requires separate permission; a dot's cloud computer should not be confused with automatic access to your laptop.
Meta's Muse introduction describes a US rollout across Android, iOS, and web, with WhatsApp messaging. A US launch is not evidence of worldwide availability. Muse's product guide describes a dedicated computer with a browser, terminal, and files for pursuing goals. Before comparing features, confirm that the service is offered to your account and that the entry point you intend to use is present.
| Access question | ChatGPT dots | Meta Muse |
|---|---|---|
| Where can you begin? | Create on desktop app or desktop web. | Check availability through Muse's US rollout on Android, iOS, or web. |
| Can you use it on a phone? | Chat with an existing dot in the mobile app where available; no mobile web. | Android and iOS are among the announced launch surfaces; WhatsApp is another entry point. |
| What needs separate checking? | Plan, region, rollout, and optional local-computer permission. | Regional availability, connected-app access, and goal permissions. |
Set a Bounded Weekly Planning Goal
For either available agent, consider this proposed goal: “Every Monday at 9 AM in my time zone, prepare a brief for the coming week using only the calendar I authorize and the nonsensitive project notes I provide. List confirmed meetings, action owners, and deadlines. Identify missing information, cite the source for each item, and do not edit events, message anyone, or create tasks.” This is a reader setup example, not a report of a task we ran.
First confirm that the selected calendar is actually connected and permitted. If it is not, supply a short schedule as text and keep the goal limited to that input. Do not let the agent silently fill gaps with another account or guessed events. Define the time zone and the exact week covered so “next Monday” cannot drift across locations. A recurring cadence should only be enabled after reviewing one result against the underlying notes and calendar.
The output check is concrete: are the meeting times correct, is each named owner supported by a source, and are tentative deadlines marked as tentative? If a source is missing, the brief should say so. Once the brief is dependable for this limited purpose, you can decide whether broader connected-app access or a more active goal is justified. A planning summary still does not authorize an external edit.
Control Apps, Memory, and Autonomy
OpenAI says a dot can read connected-app information proactively and store useful details in its own memory. That memory is distinct from other ChatGPT memory settings. Disconnecting an app prevents further access through that connection, but does not erase information the dot already obtained. Review the dot's saved memory and connected apps separately when changing what it may know. Its custom rules can distinguish actions it may take without asking, actions pre-approved by an explicit request, actions that must ask first, and actions to hand back to you. Rules help define scope, but they can be applied imperfectly.
Muse also uses connected apps and memory. Its product guide describes memory files you can read and edit, an activity log, and permissions available through the avatar. Meta says users can ask Muse to forget items. App access can be scoped rather than treated as one blanket grant; Meta's agent safety explanation describes options such as asking first and grants limited to a task, session, or period of time.
Compare the approval rule for the specific action you are considering. Muse presents structured cards for actions that require a decision, while ordinary browsing or an already authorized low-risk action need not prompt every time. Likewise, a dot's custom rule does not mean every step will ask. Neither product's connected-app permission should be mistaken for permission to change arbitrary Android settings.
Review Work and Stop the Right Activity
A dot's profile separates In progress, Scheduled, and Completed work and exposes its cloud computer. OpenAI documents a Pause control in the profile menu and an explicit way to resume. Closing the app is not the same as pausing the dot. Reset is much more consequential: it deletes the dot, conversations, saved memories, and scheduled tasks, so it is not a routine stop button.
Muse's Goals tab shows plans, while chat can steer an active goal. Its avatar provides an activity log and approved permissions. Meta also documents browser takeover: while you control that browser, the browser agent pauses. That is a control over the browser activity, not documentation of a universal Pause control for all Muse goals. If you want ongoing work to stop, inspect the relevant goal and its status and permissions rather than relying on silence from notifications. Changing proactivity affects notifications, not necessarily execution.
For either agent, distinguish stopping the current work from preventing the next scheduled run. Revoking an app connection changes future access but does not automatically delete saved memory or undo a completed external change. If a calendar item or message was already created, inspect that destination and correct it there if needed. A visible activity trail helps identify which step actually happened before choosing a recovery action.
Carry a Reviewed Result to Android
If the weekly brief produces a checked action item that belongs on your phone, carry over only that item. For example, manually copy the confirmed task title and due date into a FoneClaw request to create a supported memo or calendar entry. Review the target and the resulting phone record. This is a user-mediated handoff; FoneClaw has no native integration with dots or Muse.
FoneClaw uses a configured compatible model to interpret the request, while supported Android tools act under operating-system permissions and the configured approval policy. An online model may receive selected task context. Our Features page describes the supported phone capabilities. The dot or Muse brief remains planning output until the separate Android action succeeds and the destination shows the expected result.
For a deeper comparison of Muse's cloud goals with supported phone execution, see Meta Muse vs FoneClaw: Which Fits Your Task?. When the challenge is carrying a reviewed instruction between systems without losing its source or approval state, Secure Cross-Device AI Agent Handoff: State, Approval, and Recovery covers that handoff in detail.