With Muse, Meta is moving towards AI that can take action across everyday digital services instead of simply responding to prompts.
Meta has entered the growing race for autonomous AI assistants with Muse, a personal AI agent designed to do more than respond to prompts. The company says Muse can take action on behalf of users, manage tasks and work towards longer-term goals.
Unlike conventional chatbots, the Meta Muse AI agent is designed to perform tasks across connected digital services. It can send emails, book travel, fill out forms, organise events and assist with purchases, with user approval required for sensitive actions.
Meta announced Muse on September 8 as a personal AI agent designed to work with services people use in everyday life. The launch marks another step towards AI systems that can act on a user’s instructions rather than simply provide information.
However, greater autonomy also brings greater access to personal information. Muse can work with email, calendars, shopping and payment services, making privacy, security and user control central to the discussion around the technology.
What is Meta Muse and how does it work?
Muse is designed to function as a digital assistant capable of completing tasks rather than merely answering questions.
Meta says users can give Muse a goal, after which the agent can develop a plan, coordinate tasks and continue working in the background. It can open a browser, complete online forms and interact with connected services.
The system is powered by Muse Spark, which Meta describes as its most capable model for real world agentic work.
This ability to take action sets Muse apart from a traditional chatbot. While a chatbot can explain how to book a flight, an AI agent is designed to take steps towards completing that booking itself.
Meta says Muse can continue working even after users close the application and can return when it needs approval or when circumstances change.
Muse can connect with everyday services
Meta says users can decide which applications and services Muse can access. These include areas such as email, calendars, shopping and payments.
The agent can also use information from previous conversations to personalise assistance. Meta gives the example of using a recipe saved from Instagram to create a grocery list, plan a dinner and remember dietary restrictions while helping organise invitations.
Muse can also assist with eligible purchases. Meta says it can use Link by Stripe during checkout, with a one time use card designed to keep the user’s actual card details hidden. Support for Shop Pay and 1Password is planned.
These features could make routine online activities faster, but they also mean users must consider how much access they are comfortable giving an AI system.
Why Muse’s privacy model matters
An AI agent needs access to information and digital services to complete tasks. That creates a different risk profile from a chatbot that only generates responses.
Muse operates through Muse Secure VM, a dedicated virtual machine that houses the agent and user data. Meta says each Muse runs on its own virtual computer and that connected service credentials are stored securely.
Meta has also developed Sentinel, a separate system that controls Muse’s internet access. According to the company, Sentinel can block actions and request user permission when an activity requires approval.
Users can choose which applications Muse connects to, change permissions and disconnect services. Meta also says users can ask Muse to forget information it has learned about them.
For actions such as sending an email or making a purchase, Meta says Muse requires approval and provides an audit trail showing what it has done and what it plans to do.
What happens to Muse data?
Meta says conversations and data stored inside a user’s Muse virtual machine are not shared with its advertising systems.
However, privacy considerations extend beyond Meta’s own systems. Meta’s technical explanation notes that when Muse browses third party websites on a user’s behalf, those websites may see the activity and potentially use it for their own purposes, including advertising.
Meta also says users can opt out of having their Muse interactions used to train its AI models.
This distinction matters because an AI agent does not operate in isolation. Its interactions with external websites and services can create additional data trails outside the agent’s own environment.
Internal testing raises questions about reliability
The launch has also attracted attention because of reports about Muse’s internal testing.
Recent reporting described both useful applications and problems encountered by Meta employees during testing. Some employees reportedly found the system helpful for tasks such as travel planning, while others encountered reliability and security issues.
One reported test involved Muse exposing personal iCloud photos after receiving a prompt related to images. Other testing reportedly revealed problems involving monitoring tasks and repeated login issues.
Meta had delayed the product while working on security, according to the reporting, before deciding that the system had reached the safety threshold required for launch.
These reports do not establish that Muse will routinely behave in the same way for users. They do, however, illustrate the difficulties involved in giving an AI agent access to real accounts and personal information.
Meta plans another privacy upgrade
Meta says it plans to introduce Muse Confidential VM later in 2026.
According to Meta, the system will encrypt the entire virtual machine, including user data and conversations, using a key controlled by the user. The company says this design would prevent Meta itself from accessing the protected information.
The feature is planned for a future release and is not part of the current Muse launch.
Social media reaction takes a humorous turn
Muse also attracted a lighter response online following Mark Zuckerberg’s announcement.
One widely shared comment asked Muse to “help me quit Instagram”, creating an ironic moment because Instagram is owned by Meta.
Other reactions focused on privacy, possible effects on jobs and the fact that Muse is initially limited to the US. At the same time, some users expressed interest in trying an AI system capable of completing everyday tasks.
The mixed response reflects the broader debate around agentic AI. Users want technology that saves time, but many remain cautious about allowing AI systems to access increasingly personal parts of their digital lives.
Muse is currently limited to the US
Muse is initially available in the United States for users aged 18 and above.
Meta says the service is rolling out through iOS, Android, the Muse website and WhatsApp. The company also plans to bring Muse to its AI glasses in the future.
The basic service is free, while subscription plans will offer additional capabilities, according to Meta.
For Indian users, the current launch does not represent worldwide availability. The Meta Muse AI agent will need to expand to other markets before users in India can access the service.
How is Muse different from a normal AI chatbot?
The biggest difference is the ability to act.
A conventional chatbot can explain how to book a flight, draft an email or compare products. Muse is designed to take additional steps towards completing those tasks.
This could make AI more useful for repetitive digital work. However, an incorrect action can also have greater consequences than an inaccurate chatbot response.
An unintended email, incorrect booking or unwanted purchase could directly affect a user’s accounts or relationships.
That makes permission controls, security measures and human approval important parts of any AI agent that operates across external services.
Can users trust Meta Muse?
The Meta Muse AI agent represents a significant shift from AI that simply answers questions towards systems that can perform tasks on a user’s behalf.
Meta has introduced safeguards including Secure VM, Sentinel, permission controls, approval requirements and audit trails. However, these protections largely reflect Meta’s own technical claims, while reports from internal testing show that reliability and security challenges can still arise.
For users considering the Meta Muse AI agent, the central question is therefore not only what it can do, but also what access it needs to do it.
Ultimately, Muse’s wider adoption may depend on whether users consider the convenience of autonomous AI worth the additional trust involved in giving an agent access to their digital lives.
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