It has been less than 2 weeks since Meta agreed to pay $18 billion to settle the lawsuit for knowingly building addictive, harmful platforms for children; they are here with a new venture, Muse AI, a personal AI agent. Launched on September 8, 2026, for the US region, Muse will be able to book tickets, send emails, fill out forms, and even shop on users’ behalf. But after the lawsuit, Meta is asking adults for a different kind of trust by requesting access to their email, calendar, payment, and personal data to be used by an AI agent who is going to act on its own. Is this going to be a great sign of success or waiting for another Meta Muse lawsuit settlement?
What is Muse AI?
CEO Mark Zuckerberg himself announced the launch of Meta’s new AI agent, Muse, on X, writing, “the personal agent that understands your goals and works 24/7 to get things done for you.” It is a personal Agentic AI launching after months of speculation inside Meta’s Superintelligence Labs, making it the most ambitious consumer AI product to date.
According to Meta Newsroom, it is designed to take the work on itself rather than just acting as an AI chatbot. Muse was built under the supervision of Meta’s Chief AI Officer, Alexandr Wang, under the company’s existing AI development family of Muse. While it has the same underlying lineage as Muse Spark 1.3, which was launched on September 2 for coders specifically, it caters to a completely different audience.
What Can Meta Muse AI Do?
Meta’s pitch for Muse is broad, from handling small recurring tasks, booking movie tickets, scheduling appointments, filling out a permission slip for a class field trip, negotiating on a person’s behalf, and even helping sell a car. It’s like saying, “Yeah, let me do it.” One employee reportedly said that Muse AI is “the third participant” during a three-week honeymoon trip, helping plan and manage it.
From day-to-day tasks like booking travel and sending emails to specialized tasks like negotiating and even turning an Instagram recipe into a grocery list, Muse is said to cover all the bases. The idea is to build an agentic AI that acts and works on its own rather than just giving answers. If someone wants to create an AI app of its own kind, Muse is the answer.
Some of the announced capabilities of Muse AI are:
- Muse AI book travel to Hawaii
- Muse AI send email to Mr. Clark
- Muse AI sell a car
- Muse AI lower a bill
- Muse AI grocery list Instagram
- Muse AI negotiate on my behalf
- Muse AI smart home camera
How Does Meta Muse AI Work?
Muse runs on a dedicated virtual machine inside Meta’s cloud, separate from anything else on a user’s device. It works through a standalone app and through WhatsApp, and is an isolated computer with its own CPU, memory, and storage. Learning from conversation, it sets its preferences according to user goals and works even after you close the app.
What Is Muse Secure VM?
The user’s data and credentials are actually stored in the Secure VM. It is designed to be private per user, but uses Meta’s infrastructure. The underlying system is similar to the open-source AI agent OpenClaw, with an internal name at Meta of “Hatch,”.
What Is the Sentinel Agent?
A separate Sentinel agent is operating on the same VM instance, executing alongside Muse. All the actions or data sent out to the network need to be approved by Sentinel’s agent first. According to Meta, this is happening at the kernel level, so Sentinel will decide if a task requires the user’s permission to proceed or not; it’s not a fault of Muse. The design approach behind this, according to Wang, is “how do you keep the experience simple when you’re doing very advanced workflows in coding?
What Apps Does Meta Muse AI Connect To?
Reporting from the Meta rollout says that Muse will even be able to access a user’s email, calendar, payments, health care, and even smart home devices such as connected cameras. It will allow it to function on the apps that people use on a daily basis, instead of remaining restricted to one app. The ability to do that across applications, not just within an app, is the tricky part of successful AI agent development.
Muse AI will be supporting Meta’s AI glasses in the upcoming rollouts. People can also use it through an app available on Android and iOS devices or directly from muse.ai.
How Will Meta Muse AI Handle Payments?
One of the most intriguing mentions in the announcement was that Muse AI can handle payments. Muse AI will be able to run checkout through Stripe’s Link by using a one-time-use virtual card for each purchase without exposing a person’s actual card details to the agent.
According to Meta, Muse will never see real payment information or saved passwords, and every purchase will require the user’s approval in the chat box. Muse is the first AI agent that is covered by Link’s own purchase protections, including coverage for damaged items, lost items, and price drops on eligible purchases. Upcoming payments integration for Muse AI includes Shop Pay and 1Password.
Meta Muse AI Pricing: How Much Does It Cost?
There are three main plans for using the Meta AI agent: one free plan and two paid subscriptions. As Wang said to Axios, “For the vast majority of users, they should be able to do what they need to within the free tier.” This also indicates that paid plans could exist to cover the people who need it for heavy usage.
Plan | Price | Best For |
| Free | $0 | Most everyday users |
| Power | $20/month | Heavy daily usage |
| Maximum | $100/month | Power users |
As of now, Meta hasn’t published anything regarding the usage limits of the free tier or even paid plans, if any restrictions exist. This pricing can also vary according to the real feedback from users, as patterns show that AI agent development costs rarely stay the same as they scale.
Meta Muse AI vs Other AI Agents
Muse enters a field that’s moving fast, but Meta is leaning on distribution and infrastructure most rivals don’t have: a dedicated Secure VM, native WhatsApp integration, and reach across Meta’s existing billions of users. Gemini Spark and Claude Cowork both offer agentic capabilities, but neither ships with the same combination of an isolated cloud VM and a built-in messaging app at this scale.
Feature | Meta Muse | Gemini Spark | Claude Cowork |
| Personal Agent | ✓ | Partial | Partial |
| Secure VM | ✓ | ✗ | ✗ |
| WhatsApp Integration | ✓ | ✗ | ✗ |
| Free Tier | ✓ | ✓ | ✓ |
| US Only at Launch | ✓ | ✗ | ✗ |
Is Meta Muse AI Safe and Private?
Through Muse AI, Meta is attempting to request the level of access that AI has ever had: personal email, calendar, payments, health data, smart home cameras, etc. This is going to put Muse AI privacy concerns and data security under the utmost scrutiny.
What is Meta Claiming?
According to Meta, Muse chats and Secure VM information will not be passed to its advertising systems, and users will be able to “forget” certain information learned by Muse. Later this year in 2026, a fully encrypted option, Muse Confidential VM, is planned to be released, which will be built in such a way that even Meta can no longer access the key. The Sentinel agent is in charge of the primary protection, as it sees everything Muse attempts to send out before it does.
What Critics Are Saying?
The launch timing is ripe for questioning. Just 13 days before Muse’s launch, Judge Yvonne Gonzalez Rogers allowed an $18 billion settlement on August 26 to resolve the claims from a 29-state coalition, led by California. The claim was that Meta knowingly designed Instagram and Facebook to be addictive to minors. The agreement calls for time limits and age verification on a daily basis for teens.
And now, parents are being called on to give a new AI product free rein on their personal data.
This is not the first Muse device to experience such an issue. In July 2026, Meta quietly unveiled a new AI photo generator called Muse Image that auto-opted public Instagram accounts by default, even though it was highly controversial and engineered by SAG-AFTRA and Proton. It was pulled down in just a few days because it went “the wrong way,” as Meta put it.
One user, during the internal testing of the new agent for Muse, requested Muse identify toys in a child’s photo from a birthday party, and Muse revealed photos from the user’s private iCloud library, well beyond the request. Even Meta CTO Andrew Bosworth reportedly stated that there were repeated instances of forced logouts while testing the product internally.
What will become of Muse AI? Time will tell.
What Does Meta Muse AI Mean for the Future of AI?
Over the past year, Meta has been working toward this change, and Muse is a step toward an AI that acts rather than simply answers. It’s also the most concrete indication yet of how Zuckerberg wants the company to be perceived; he declared that “agents that do things for you” is a central objective of his “manifesto.” Meta seems to believe that the product will be based on commerce or subscription revenue instead of advertising.
As Wang told Axios, in the future, the plan is to create personal superintelligence to help people achieve their goals, including their goals of pursuing their passions, building things they wouldn’t have otherwise built if they didn’t have the technology.
The bigger story for businesses grappling with this change is not Muse itself, but the rapid pace at which agentic AI is advancing from a nascent experimental state to commonplace. This launch is not just a test of Meta’s infrastructure; it is an example of what companies looking into building their own AI agent development company partnerships will expect as standard fare.
Approval layers, secure execution environments, and scoped payment access will be essential features of any AI agent, and it will be interesting to see how these will evolve in the future.