Meta introduced Muse on September 8, 2026 as a personal AI agent designed to take actions across everyday apps. Unlike a normal chatbot, Muse can plan tasks, use a browser, work after you close the app, and ask for approval before sensitive actions.
What is Meta Muse? Muse is Meta's personal AI agent built around a dedicated Muse Secure VM. It uses Muse Spark for agentic work and can handle tasks such as email, travel booking and online purchases while giving the user control over connected apps and permissions.
What Meta announced on September 8
Meta says Muse is rolling out in the US on iOS, Android and muse.ai, with AI glasses support planned. The product is built to act on goals rather than only return text answers.
How Muse is different from a chatbot
A chatbot mainly responds to a prompt. Muse is designed to continue a task, open a browser, fill forms, coordinate steps and return when it needs approval.
What the Muse Secure VM does
Meta built a dedicated virtual machine for each Muse. The company says the VM contains the agent and connected data, while a separate Sentinel agent controls whether Muse can access the internet.
How Muse handles sensitive actions
Meta says Muse asks before actions such as sending an email or making a purchase. It also provides an audit trail. Users can choose which apps Muse connects to and change access later.
Can Muse buy things online?
Yes. Meta says Muse can check out using Link by Stripe, with a one-time-use card that hides the user's real card details. Shop Pay and 1Password support are planned.
Why agent permissions matter
When an agent can read email, browse websites or make purchases, the security model becomes part of the product. A useful agent therefore needs narrow permissions, clear approvals and an audit trail.
How Muse compares with local AI agents
ToolBoxKart's local AI agent comparison looks at privacy, models, tools and maintenance. Muse takes a managed cloud approach.
What AI agent builders should learn from Muse
Personal agents need more than a strong model. They need isolated execution, permission controls, safe credential handling, approval gates and visible logs.
Related ToolBoxKart guides
For agent permissions, read How to Audit AI Agent Permissions. For approval controls, see Human Approval Gates for AI Agent Workflows. For system design, use the AI Agent Architect guide. For auditability, read AI Agent Audit Logs: What You Should Record.
Frequently asked questions
When did Meta announce Muse?
Meta announced Muse on September 8, 2026.
What model powers Muse?
Meta says Muse is powered by Muse Spark, its most capable model to date for this agentic work.
Can Muse send emails and make purchases?
Yes. Meta says Muse can handle email and purchasing tasks, with approval controls for sensitive actions.