Meta Launches Muse in the US: An Autonomous AI Assistant Built on OpenClaw
Meta has launched Muse in the US, an autonomous AI assistant powered by OpenClaw that runs on dedicated cloud VMs to handle emails, bookings, and payments in th
On September 8, 2026, Meta officially launched 'Muse', an autonomous personal AI assistant powered by the open-source OpenClaw foundation model, rolling out initially to users in the United States. Operating independently inside dedicated cloud virtual machines, Muse marks a significant commercial milestone in agentic AI by executing real-world background workflows without requiring users to keep their devices active or maintain open browser tabs.
Image source: Meta / The Elec
While conversational chatbots have traditionally relied on passive, turn-by-turn prompts inside active chat interfaces, Meta designed Muse around an autonomous execution model. Once a user delegates a high-level objective, the agent takes responsibility for executing and tracking multi-step digital workflows asynchronously in its own isolated cloud runtime.
Dedicated Cloud VM Architecture for Background Autonomous Execution
The primary architectural shift in Muse lies in provisioning an independent, dedicated cloud virtual machine (VM) for each user's assistant.
Because execution takes place entirely within cloud-hosted virtual machines rather than consuming local hardware resources on a smartphone or laptop, delegated tasks proceed continuously even when a user turns off their phone, loses connectivity, or goes to sleep.
- Asynchronous Workflow Execution: Muse can parse incoming email threads, compose and send appropriate replies, coordinate complex travel itineraries, and register confirmed events directly onto digital calendars.
- Embedded Payment Infrastructure: Powered by Stripe Link integration, the assistant can execute authorized online purchases, travel ticket bookings, and recurring bill payments within predefined spending boundaries.
This always-on cloud infrastructure eliminates the need for constant real-time supervision, enabling users to offload tedious multi-stage administrative tasks to an agent running reliably in the background.
WhatsApp Integration, Tiered Pricing, and Regional Availability
To lower the barrier to adoption, Meta integrated Muse directly into widespread consumer communication channels alongside dedicated native applications.
Users can converse with and delegate assignments to Muse through WhatsApp, Meta's globally established messaging platform. Without requiring complex development setups or command-line configurations, individuals can message their agent via natural conversational English to trigger complex cloud-executed routines.
Regarding pricing, Meta clarified its official subscription tiers following unverified rumors on social media that claimed users would receive an unlimited 100-million token allocation for free:
- Base Free Plan: Offers core assistant capabilities, basic scheduling routines, and standard interaction limits at no cost.
- Paid Subscription Tiers: Structured at $20 per month and $100 per month, designed for higher background execution quotas, faster compute allocations, and advanced workflow orchestration.
Currently, Muse is available exclusively within the United States. Prospective international users, including those in Europe and Asia, must join an official waitlist as Meta prepares phased sequential rollouts tied to regional data compliance and cloud infrastructure capacity.
Granular User Permissions and Training Data Opt-Out Protections
Given that an autonomous assistant handles sensitive calendar entries, email correspondence, and financial transactions, Meta implemented robust privacy and authorization controls.
Every application integration operates on an explicit opt-in basis. Users can inspect and toggle individual service permissions—such as email inbox access, calendar read/write rights, and Stripe payment credentials—at any moment, with immediate revocation supported across the board.
- Model Training Opt-Out: Users can explicitly opt out of having their interaction data, conversation history, and workflow logs utilized for training future foundation models.
- Transactional Guardrails: For financial transactions and sensitive external dispatches, Muse enforces spending caps and prompts users for direct authorization whenever an action exceeds predefined risk parameters.
Built atop the open-source OpenClaw foundation, Muse represents a notable pivot from closed, reactive chat interfaces toward persistent, autonomous personal agents capable of operating independently across daily life and business routines.