On September 8, 2026, Meta introduced Muse, a personal AI agent designed to work on tasks in the background inside a cloud environment with its own browser. Rather than only answering questions in a chat window, Meta says Muse can browse websites, fill out forms, coordinate work across connected services, and return when it needs a decision.
Meta announced further Muse updates at Connect 2026, including real-time voice, planned AI-glasses support, more connectors, and computer use on Mac. The product is new enough that most available information comes from Meta's own materials. That makes it important to separate what Meta says Muse can do from what has yet to be independently tested.
Muse the agent versus the Muse model family
The name Muse refers to two different things. Muse, the personal AI agent, is Meta's consumer product. It is intended to take multi-step actions on a person's behalf, such as researching options, filling forms, managing a task, or working with connected apps.
Muse Spark and Muse Image are models in Meta's broader AI research family. Muse Spark is a multimodal model that Meta says is designed for reasoning, tool use, and agentic work. Muse Image and Muse Video are media-generation models. They may support parts of Meta's product strategy, but they are not the consumer agent people are granting access to.
The distinction matters. An image model and a browser-using agent create very different risks. One generates media. The other may access connected accounts, make choices across several steps, and potentially send or buy something.
What Meta says Muse can do
Meta says Muse runs in a dedicated cloud virtual machine, called Muse Secure VM, with its own browser. According to Meta, this lets it:
- Browse websites and fill out forms
- Work across connected services and apps
- Continue longer tasks after the user closes the app
- Build plans around an ongoing goal
- Ask for approval before sensitive actions, such as sending email or making a purchase
- Show an audit trail of completed and planned actions
Meta also describes a separate Sentinel agent that sits between Muse and the internet. Meta says Sentinel reviews actions and asks for user approval when needed.
These are product-design claims from Meta, not independent proof that the controls will work reliably in every situation. A launch announcement cannot settle how well approval gates will handle ambiguous instructions, scam sites, prompt injection, or an agent's incorrect assumptions about a user's intent.
Who can use Muse?
Muse is rolling out in the United States first. Meta says it has a free tier with usage limits and paid subscription plans for people who need more capacity. The company has not published a complete expansion timeline beyond the US rollout.
Some Connect 2026 updates are available now, while others are still planned. Meta said computer use is now available in Muse for Mac, with user permission, allowing the agent to operate apps on a Mac. Meta also announced more connected services for shopping, travel, productivity, and payments.
Other features remain forward-looking. Meta said it plans to bring Muse to AI glasses in the coming months. It also announced future real-time voice, an avatar interface, and a dedicated email address for Muse. These should be treated as announced capabilities, not features every user can rely on today.
Privacy and security: announced versus proven
Meta has made several commitments about Muse's safeguards:
- Meta says each Muse runs in an isolated cloud VM.
- Meta says passwords and payment details are stored separately so the agent cannot read them directly.
- Meta says users can choose which apps to connect and revoke access later.
- Meta says people can opt out of having Muse interactions used to train Meta's AI models.
- Meta says conversations and VM data are not shared with its advertising systems.
- Meta says it plans to introduce a future Confidential VM, where the user holds the encryption key.
Those commitments provide a basis for accountability. They do not amount to a mature, independently audited security record. Anyone considering linking email, shopping accounts, personal files, or financial information should treat Muse as an early product and grant access cautiously.
Before you hand an agent access
The right question is not only whether Muse can complete a task. It is whether you can limit the consequences if it gets something wrong.
- Permissions scope. Can you approve access service by service, rather than granting broad access all at once?
- Spending controls. Is there a hard spending cap, and does every purchase require approval?
- Email and messaging. Can the agent send messages without review, or can you require draft approval first?
- Account access depth. Is the connection read-only, or can it change settings, billing details, passwords, or recovery information?
- Audit trail. Can you see a complete, timestamped record of actions, attempted actions, and pending actions?
- Recovery. Can you pause the agent immediately, reverse a mistaken action, and reach human support?
If those answers are unclear, start with a narrow, low-risk task or wait.
Takeaway
Muse is Meta's attempt to turn an AI assistant into a personal agent that can act over time, use a browser, work with connected services, and return for approval when a decision matters.
That is a meaningful shift from chat-based AI. It could make routine digital work easier. It also raises the stakes of access controls, security, and user oversight.
Meta's stated safeguards are encouraging, but they are still company claims around a newly launched product. Treat Muse as something to test carefully, not as a reason to hand over broad account access on day one.
If you are weighing how to give AI systems useful access without losing human oversight, the AI Governance course is a practical next step for learning how organizations set accountability, controls, and responsible-use practices around AI.*
Sources
- Introducing Muse, a Personal AI Agent, Meta Newsroom
- Muse, Meta AI product page
- Everything We Announced at Meta Connect 2026, Meta
- Introducing Muse Spark, Meta AI
- Introducing Muse Image and Muse Video, Meta AI

