AI assistants have traditionally been good at answering questions. Meta Muse is designed to go a step further: it can actually perform tasks.

Meta introduced Muse in September 2026 as a personal AI agent designed to help users manage everyday tasks, from organizing information to sending emails and booking travel.

The difference is important.

A chatbot waits for a prompt and returns an answer. An AI agent can interpret an objective, decide what steps are needed and use connected tools to complete the task.

How Meta Muse works

Muse runs inside what Meta calls a Muse Secure VM, a dedicated virtual computer containing the agent and the user's data.

It also uses a separate Sentinel agent to control internet access. According to Meta, Muse cannot directly see passwords or payment information, and sensitive actions such as purchases require user approval. Users can also view an audit trail of what the agent has done.

This architecture is significant because agentic AI requires access to more than a traditional chatbot.

An agent may need access to:

Email

Calendars

Shopping accounts

Travel services

Documents

Messaging platforms

Other connected applications

That creates a new security challenge: the AI isn't just processing information. It is acting on someone's behalf.

Why Muse matters

Muse represents a broader shift from AI that generates content to AI that executes workflows.

For businesses, that same concept can be applied to customer support, sales operations, research, finance, IT and internal automation.

But the infrastructure needs to change with the capability. Permission management, sandboxing, audit logs, identity controls and human approval become essential.

The rise of Muse is therefore less about one Meta product and more about where AI assistants are heading next: from answering questions to doing the work.