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Meta Muse moves beyond the AI chatbot into apps, business, shopping, AI glasses, and new devices.
Meta launched Muse on September 8, 2026, as a personal AI agent that can do more than answer questions. It can perform simple tasks, use a browser, fill out forms, send emails with permission, help book tickets and hotels, shop online, and continue working while the user is away.
Less than a month later, Muse is already becoming a much broader part of Meta’s AI strategy.
Muse is moving beyond the chatbot
Muse runs in its own cloud-based environment called Muse Secure VM and is powered by Meta’s Muse Spark models. Users can give it access to selected services and let it complete multi-step tasks rather than simply giving instructions.
Users can access Muse through its dedicated app and WhatsApp, and Meta has plans to bring the agent to its AI glasses. At Meta Connect 2026, the company positioned Muse and its expanding glasses lineup as part of the same longer-term vision: an AI assistant that can stay accessible throughout the day rather than remain inside one app.
Early adoption has also been significant. Muse reached about 2.8 million downloads in its first two weeks and rose to the top of the free-app charts in the U.S. and Canada.
Meta is now taking Muse into business
On September 29, Meta introduced Muse for Small Business, adding connections to tools including Shopify, Slack, Stripe, Canva, QuickBooks, Notion, Zoom, Dropbox and Meta’s own Facebook and Instagram business services.
The idea is to give the agent enough business context to analyze performance, prepare campaigns, identify tasks that need attention, and work across software that a company already uses. Meta says publishing, sending, and spending actions still require user approval.
Meta is going further with its new Meta Enterprise Platform. The platform will bring Muse, Muse API, Muse Code, Meta Business Agent, and other AI tools to businesses and developers. That puts Muse in much bigger competition over which AI agents become part of everyday company workflows.
Shopping could be one of Muse’s biggest tests
E-commerce is already showing why AI agents could become disruptive.
Instead of searching through stores manually, a user can ask an agent to find an item, compare options, and move toward a purchase. Meta built payment support into Muse through Stripe’s Link and has also been expanding commerce integrations.
Some retailers are embracing this model, while others are resisting it. Recent reporting shows that Amazon has blocked Muse, while Shopify has supported AI-driven purchasing through its ecosystem. This disagreement points to a much larger question: if AI agents increasingly choose where people shop, the agent itself could become an important gateway between consumers and online retailers.
Meta also wants Muse outside conventional apps
The expansion reached hardware on October 2.
Meta open-sourced Muse Gadgets, providing SDKs and firmware that developers can use to connect Muse to devices built with hardware such as ESP32 boards and Raspberry Pi computers. These projects can give Muse access to displays, buttons, sensors, and other connected components.
It is an experimental developer project, not yet a mainstream consumer platform, but it shows where Meta wants the technology to go. Muse is being developed to extend across software, wearables, businesses, and connected devices rather than remain a single AI application.
Rapid expansion also brings serious risks
The difficult part of personal AI agents is that they become useful by gaining access to sensitive information and the ability to act.
Meta says Muse uses permission controls, a separate security system called Sentinel, protected credential storage, and an audit trail. The company also plans to introduce Muse Confidential VM later in 2026, with encryption designed so that even Meta cannot access the user’s stored data and conversations.
However, the launch has already produced warning signs. Reuters reported in late September that Meta strengthened Muse’s safety warnings after a researcher found a significant security vulnerability. Separately, The Verge reported an incident in which Muse shared a user’s home address during a Facebook Marketplace interaction, prompting Meta to examine how it communicated its permission settings.
These problems matter because an AI agent that can act for a user carries more risk than one that only generates text.
Muse is still very new, so its long-term impact is not settled. But Meta’s direction is becoming clear. The company is trying to make Muse a persistent AI agent that follows users across personal tasks, communication, shopping, work, and eventually more physical devices.
If that model succeeds, the next major AI competition may not be about which chatbot gives the best answer. It may be about which agent people trust enough actually to act for them.
