Meta Launches Muse Assistant App on iPad
Meta has launched its Muse AI assistant on the iPad just a month after its mobile debut, signaling a rapid expansion of its consumer-facing agent ecosystem.

Meta has officially expanded its Muse AI assistant to the iPad, marking a rapid multi-platform rollout just one month after its initial mobile debut on September 8. According to estimates from market intelligence firm Sensor Tower, the assistant has already surpassed 6.6 million installs across iOS and Android. This swift expansion highlights Meta's aggressive push into the consumer AI agent market, contrasting sharply with the company's historically slower rollouts for other platforms.
Muse functions as a personal assistant that integrates with various third-party services, which Meta refers to as connectors. Users can link their accounts to manage emails, schedule meetings, track bills, set goals, and make purchases. With the iPad release, Meta has expanded its connector ecosystem to include productivity and business tools such as Asana, Canva, Dropbox, Figma, QuickBooks, GitHub, Klaviyo, Zoom, Notion, and Granola, alongside Meta's own advertising accounts.
The assistant also supports e-commerce integrations with major retail partners like Best Buy, Gap, Sephora, Walmart, and Wayfair, allowing Muse to shop and complete transactions on behalf of users. However, because this technology is still emerging, these automated interactions occasionally fail when retail websites mistake the AI agents for malicious scrapers and block their access.
To address these integration hurdles, Meta announced it is collaborating with industry partners to develop an open standard. This protocol will allow personal AI agents to verify their identity to businesses, helping websites distinguish legitimate consumer assistants from harmful bots. For developers and enterprise practitioners, this rapid expansion and the push for open standards signal a maturing ecosystem where AI agents can reliably navigate the web and execute complex, multi-step workflows across diverse platforms.
This is our own summary of reporting by TechCrunch AI



