Meta Muse AI Agent: Features, Pricing, How It Works & India Availability (2026)

Meta has officially launched Muse, a new personal AI agent designed to do more than answer questions. Muse can work on a user’s behalf, interact with connected apps and websites, fill forms, send emails, help book travel, make purchases with approval, remember preferences and continue working even after the user closes the app.

The product was announced on September 8, 2026 as part of Meta’s broader push toward what CEO Mark Zuckerberg calls “personal superintelligence.” Muse is powered by Meta’s Muse Spark technology and operates inside its own dedicated cloud computer called Muse Secure VM.

However, there is an important limitation for Indian users: Meta Muse is not officially available in India as of September 9, 2026. The initial rollout is limited to adults in the United States. Meta AI itself is available in India, but Meta AI and the new Muse autonomous personal agent should not be treated as the same product.

This guide explains everything currently known about Meta Muse AI Agent, including its features, free and paid plans, pricing, availability in India, privacy architecture, connected apps, payment capabilities, memory, security controls, limitations and how Muse differs from Meta AI, Muse Spark, Muse Code and other products in the Muse family.

Meta Muse AI Agent: Quick Answer

Meta Muse is a personal AI agent that can independently perform multi-step digital tasks on behalf of a user rather than simply responding with instructions. It can browse websites, work with connected services, complete forms, manage tasks, send emails with permission, help book travel, shop online and continue longer jobs in the background.

Muse launched in the United States on September 8, 2026. It has a free tier and two reported paid subscriptions: Power at $20 per month and Maximum at $100 per month. It is currently available through the Muse mobile apps, the web and WhatsApp for eligible U.S. users. India availability and official Indian pricing have not yet been announced.

Meta Muse at a Glance

Feature	Meta Muse
Product	Personal autonomous AI agent
Company	Meta
Developer	Meta Superintelligence Labs
Launch date	September 8, 2026
Underlying AI	Muse Spark family
Availability at launch	United States
India availability	Not officially available as of September 9, 2026
Minimum age at launch	18+
Access	iOS, Android, web and WhatsApp
Free plan	Yes, subject to usage limits
Power plan	$20/month, according to launch reporting
Maximum plan	$100/month, according to launch reporting
Browser use	Yes
Background work	Yes
Connected apps	Yes, with user-controlled permissions
Purchases	Yes, with user approval and supported payment integrations
Memory	Yes
Audit trail	Yes
Training opt-out	Yes
AI glasses	Coming later

What Is Meta Muse?

Muse is Meta’s consumer-focused personal AI agent. The key word is “agent.” A traditional AI chatbot primarily generates a response after receiving a prompt. An agent can go further by planning steps, using tools and taking actions required to achieve a user’s goal.

You might ask a chatbot, “How should I plan a trip to New York?” and receive an itinerary. With an autonomous agent such as Muse, the intended experience is closer to: “Plan this trip within my budget, compare realistic options, work around my calendar and prepare the bookings.”

Muse can then use its browser and authorised services to carry out parts of that workflow, stopping for approval when an action is sensitive or consequential.

Muse Is Not Just Meta AI With a New Name

One of the biggest sources of confusion following the launch is the relationship between Muse and Meta AI. They are related, but they are not identical products.

Product	What It Is	Main Purpose
Meta AI	Meta’s general AI assistant	Questions, research, creation, reasoning and increasingly agentic tasks
Meta Muse	Dedicated personal AI agent	Long-running autonomous work across a user’s digital life
Muse Spark	Meta’s frontier model family	Reasoning, agents, tool use, computer use and coding
Muse Code	Coding agent	Software engineering and repository workflows
Muse Image	Image-generation model	Generate and edit visual content
Muse Glimmer	30B open-weight local agent model	On-device/local agent workflows
Muse Voice Transcribe	Speech-to-text model	Real-time multilingual transcription

This distinction is particularly important for Indian users. You may already have access to Meta AI in WhatsApp, Instagram, Facebook or Messenger in India. That does not mean the standalone Muse personal agent has launched in India.

How Does Meta Muse Work?

Muse works through a conversational interface. Instead of learning a special workflow builder or writing code, the user describes what they want in ordinary language.

Behind that simple chat interface is a much more complex agent system. Muse can interpret the goal, create a plan, use connected services, launch browser tasks, perform multiple actions and keep working in the background.

Step 1: You Give Muse a Goal

For example:

Help me organize a dinner for eight people next Saturday.

Check my calendar first, remember that two of my friends are vegetarian, suggest a menu, prepare a grocery list and help me send the invitations.

Step 2: Muse Builds a Plan

Muse can break the task into smaller actions, identify the information it already knows, decide which connected services it needs and determine which actions require the user’s approval.

Step 3: It Uses Tools, Apps and the Web

If the required service has a supported connector, Muse can use it. Where appropriate, it can also work through a real browser inside its secure virtual machine.

Step 4: Muse Continues Working in the Background

Long-running jobs do not necessarily stop when you close the application. Muse can continue working and return when it has completed a step, something changes or it needs approval.

Step 5: Sensitive Actions Require Approval

Meta says Muse checks with the user before consequential actions such as sending certain communications or completing purchases. Users can also inspect an audit trail showing what the agent has done and what it plans to do.

Top Features of Meta Muse AI Agent

1. Autonomous Multi-Step Task Completion

The defining feature of Muse is its ability to handle a goal rather than just one prompt at a time. It can plan several steps, act on them, inspect the results and continue toward the user’s objective.

2. Background Work

Muse can continue working after the user leaves the app. This makes it better suited to tasks that involve waiting, comparing information, checking for changes or performing a series of actions over time.

3. Real Browser Access

Muse has access to an up-to-date Chromium-based browser inside its dedicated Secure VM. It can navigate websites, read pages and fill forms as part of completing a task.

The user can see what Muse is doing in the browser and take over when required.

4. Connected Apps and Services

Muse is designed to work with services that are part of a person’s daily life. Launch information and Meta’s technical documentation describe connections involving areas such as email, calendars and Meta’s own apps, while launch reporting also identifies payments, health and fitness, smart-home services, shopping, dining, music and events among the broader categories Muse can potentially work with.

5. Granular Permissions

Giving an AI agent access to an email inbox does not necessarily have to mean giving it unrestricted control. Meta says Muse separates permissions where possible, allowing users to choose capabilities such as reading email without automatically allowing the agent to send messages.

Users can change permissions or disconnect services later.

6. Long-Term Memory

Muse remembers information a user has shared so it can provide increasingly personalised help. Meta gives examples such as remembering dietary restrictions mentioned earlier or turning a previously saved Instagram recipe Reel into a grocery list.

Users can tell Muse to forget information, and Meta’s technical documentation says users can inspect, edit and download the memory stored in their Muse environment.

7. Proactive Suggestions

Muse is intended to become more proactive than an ordinary chatbot. Instead of waiting for every instruction, it can use relevant context to suggest actions or remind the user about something that may help achieve an existing goal.

8. Form Filling and Web Actions

Muse can interact with websites and forms on behalf of the user. This makes use cases such as registrations, bookings, applications, comparisons and routine administrative tasks possible.

9. Negotiation

Meta says Muse can potentially negotiate on a user’s behalf. Examples discussed around launch include attempting to lower a bill or helping someone sell an item such as a car.

Results will depend on the service, situation and permissions available, so this should be viewed as an agent capability rather than a guaranteed financial outcome.

10. Shopping and Payments

Muse can help complete online purchases. Meta partnered with Link by Stripe for payments at launch and says Shop Pay support is coming later.

For supported transactions, Link can generate a one-time-use card instead of exposing the user’s normal card number to the merchant. Muse requires human approval before a purchase is completed.

11. Audit Trail

Muse provides a record of what it has done and what it is planning to do. This is especially useful when an AI agent is allowed to access personal accounts or take actions with real-world consequences.

12. Multi-Agent Work

Meta’s technical description of Muse says the system can launch multiple subagents when useful. Different parts of a more complicated problem can therefore be worked on in parallel while the main agent coordinates the broader objective.

Real Examples of What Meta Muse Can Do

Goal	What Muse Could Potentially Do
Plan a vacation	Research options, check constraints, compare travel, fill booking forms and request approval
Sell a car	Research the market, prepare information, create listings and potentially assist with negotiation
Reduce a bill	Research alternatives and potentially negotiate with a provider
Organize a dinner	Remember dietary preferences, build a menu, prepare groceries and draft invitations
Use a saved recipe	Identify a saved Instagram recipe Reel and turn it into a shopping list
Manage fitness goals	Create and adjust a longer-term training plan as circumstances change
Handle email	Read permitted messages, identify required actions and send with appropriate permission
Purchase something	Research products, navigate checkout and request approval before payment
Complete administration	Open websites, fill forms and keep track of multi-step processes

Meta Muse Pricing

Meta’s official launch announcement confirms that Muse is free for most everyday use and that subscription plans are available for users who need more capacity.

Launch reporting from multiple technology and news publications places the two paid subscriptions at $20 per month and $100 per month. TechCrunch identifies the tiers as Power and Maximum.

Plan	Launch Price	Best For
Free	$0	Most everyday Muse use, subject to usage limits
Power	$20/month	Users who need more agent usage
Maximum	$100/month	Heavy or power users requiring substantially more usage

Important: Meta’s public launch post does not currently publish a detailed permanent allowance table showing exactly how many tasks, tokens or agent-hours each plan includes. The application uses a usage meter to show remaining capacity, so users should rely on the live Muse subscription screen for the current limits rather than assuming launch limits will never change.

How Much Free Muse Usage Do You Get?

Launch reporting has cited a very large free allowance, including reports of up to 100 million tokens per week. However, Meta’s primary public launch announcement describes Muse more generally as free for most people’s needs without publishing that token figure as a permanent pricing specification.

For that reason, users should treat any launch token allowance as subject to change and check the live usage meter inside Muse.

Does the Free Plan Require a Card?

TechCrunch reported at launch that Muse requires a payment card to get started even when a user begins on the free tier. This detail is not prominently specified in Meta’s general launch announcement, so users should confirm the current onboarding requirement when signing up.

Is Meta Muse Available in India?

No. Meta Muse is not officially available in India as of September 9, 2026.

Meta’s launch announcement says Muse is initially rolling out in the United States on iOS, Android and the web. Launch coverage also confirms WhatsApp access for eligible U.S. users.

Meta has not announced an official Muse India release date, waiting list, Indian subscription price or India-specific feature list.

Is Meta AI Available in India?

Yes. Meta AI has been officially available in India since 2024 across services including WhatsApp, Facebook, Instagram, Messenger and meta.ai.

However, Meta AI’s availability should not be used as evidence that the new Muse personal agent has also launched in India.

When Will Muse Launch in India?

There is currently no confirmed India launch date. Meta says Muse was built with the intention of eventually serving billions of people, but the first rollout is limited geographically while the company observes real-world usage, reliability, privacy and security.

Any exact India launch date circulating without an official Meta announcement should therefore be treated as speculation.

What Will Muse Cost in India?

There is no official Indian pricing yet. The launch prices of $20 and $100 are U.S. subscription prices and should not automatically be converted into expected Indian prices because Meta could use local pricing, applicable taxes or different plan structures when Muse expands internationally.

Can Indians Use Muse Through WhatsApp?

Not simply because WhatsApp is available in India. Muse’s WhatsApp integration is tied to Muse’s geographic rollout, and the standalone personal agent remains U.S.-only at launch.

Indian WhatsApp users may already have access to Meta AI, but the presence of the Meta AI icon or chatbot does not mean their account has been upgraded to the autonomous Muse personal agent.

What About Muse Voice Support for Indian Languages?

Meta has separately introduced Muse Voice Transcribe, a speech-to-text model supporting more than 70 languages, including Indian languages such as Hindi, Tamil, Telugu, Malayalam and Kannada.

This is encouraging for Meta’s broader multilingual AI strategy, but Muse Voice Transcribe is a separate model. Its support for Indian languages does not mean the Muse personal agent itself is currently available in India.

How Can Eligible Users Access Meta Muse?

At launch, eligible U.S. adults can access Muse through:

• The dedicated Muse app on iOS
• The dedicated Muse app on Android
• Muse on the web
• WhatsApp

Meta also says Muse is coming to its AI glasses. No firm public launch date for the glasses integration was specified in the initial Muse announcement.

Who Can Use Meta Muse?

Launch coverage states that Muse is initially intended for adults aged 18 and above in the United States.

Eligibility may later change as Meta expands to additional countries, introduces local regulatory requirements or modifies account conditions. Users should therefore follow the current onboarding requirements shown by Meta rather than relying permanently on launch-day rules.

What Is Muse Secure VM?

Giving an autonomous AI access to your inbox, calendar, browser and payment workflows creates significantly greater security risk than asking a chatbot a question. Meta’s response is an architecture it calls Muse Secure VM.

Each user’s Muse receives its own dedicated virtual computer in Meta’s cloud. That environment contains a browser, computing resources, files and other data required for the agent to work.

Meta designed the system so the main AI agent does not simply receive unrestricted access to everything stored inside that environment.

What Is the Muse Sentinel Agent?

Sentinel is a separate security agent running outside Muse’s main agent environment. Muse can propose an action, but Sentinel controls whether certain actions and network access are allowed.

Depending on the user’s permissions and the risk of the action, Sentinel may allow it, block it or ask the user for approval.

This separation is significant because Muse cannot simply override Sentinel if a malicious webpage or prompt-injection attack convinces the main model to do something inappropriate.

Can Meta Muse See Your Passwords?

Meta says the Muse model itself does not see users’ passwords or payment credentials.

Credentials are placed into separate secure storage. When a website needs a login, the relevant credential can be inserted where required without exposing the password directly to the AI model.

Meta also says its email connector attempts to filter highly sensitive material such as one-time passcodes, password-reset links and login magic links so that simply connecting an email account does not give the agent an easy path to taking over other accounts.

Can Muse Make Purchases?

Yes. Muse can participate in shopping and checkout workflows, but Meta has added extra controls because a mistake involving money can have immediate consequences.

At launch, Meta is working with Link by Stripe. On supported purchases, Link can generate a single-use card tied to the transaction instead of giving the merchant the user’s normal card details.

Muse asks the user to approve a purchase before payment. Meta says Link’s purchase protections can also cover eligible situations including damaged or lost items, price drops, no-fee returns and return guarantees.

Shop Pay and 1Password integrations are planned but were described as coming soon rather than available at launch.

Does Meta Use Muse Conversations for AI Training?

Meta’s security documentation says conversation trajectories and tool interactions can be useful for improving future models. Meta says personally identifiable information is sanitised before eligible trajectories are used for training.

Importantly, users can opt out of having their Muse interactions used for model training through a setting in Muse.

Users considering connecting highly sensitive services should review this setting and the current privacy documentation before giving the agent broad access.

Does Muse Data Affect Meta Ads?

Meta says Muse conversations and the data stored in a user’s Muse VM are not shared directly with Meta’s advertising systems.

There is an important qualification. Actions Muse takes on the wider internet may still create ordinary activity signals. If Muse visits a retailer’s website while shopping for the user, for example, the retailer could potentially use that website visit for advertising or remarketing in the same way it could use a visit made manually by the person.

Similarly, actions involving services such as Facebook Marketplace may have consequences elsewhere in the broader platform experience. “Not shared with Meta ad systems” should therefore not be interpreted as meaning every action performed by Muse is invisible to the advertising ecosystem.

What Is Muse Confidential VM?

Meta is developing a stronger privacy option called Muse Confidential VM.

Meta says the planned architecture will encrypt the user’s VM using a key controlled by the user in a way designed to cryptographically prevent even Meta from accessing the information stored inside.

This is not the standard launch configuration. Meta says Confidential VM is expected later in 2026 and is currently being tested with a smaller group.

Until then, the standard Secure VM isolates user environments and applies operational controls, but Meta’s own technical documentation acknowledges that Meta may access data when necessary to support, operate or secure the service.

Is Meta Muse Completely Private?

No AI agent with broad account access should be described simply as “completely private” without qualification.

Meta has implemented unusually detailed isolation, permission and monitoring systems around Muse. These include Secure VM, Sentinel, protected credentials, human approvals, audit logs and prompt-injection defences.

However, Meta’s own engineering team explicitly states that Muse can still make mistakes and that prompt injection remains an open security problem across the AI-agent industry. The upcoming Confidential VM is intended to provide a stronger technical privacy boundary than the initial Secure VM architecture.

What Is Prompt Injection and Why Does It Matter for Muse?

A prompt-injection attack happens when an AI agent encounters malicious instructions hidden in information it is reading, such as a webpage, document, image or message, and is manipulated into following those instructions instead of the user’s real request.

This problem becomes especially serious when an agent has three capabilities at once: access to private information, access to untrusted content and the ability to communicate or take actions externally.

Meta says Muse uses several defences, including model training, labels marking outside information as untrusted, multiple prompt-injection classifiers, Sentinel-controlled actions, isolated credentials and human approval for consequential actions.

Can Meta Muse Still Make Mistakes?

Yes. Meta explicitly acknowledges that Muse will make mistakes.

Reuters also reported that Meta’s internal testing uncovered security and reliability problems during development, including cases involving inappropriate actions and sensitive information exposure. Meta delayed the originally planned release while strengthening the product’s security before the September launch.

This is a major reason users should not immediately provide maximum permissions to every connected account. A sensible approach is to begin with low-risk and read-only permissions, observe how the agent behaves and expand its authority only when there is a clear benefit.

Meta Muse Security Bug Bounty

Meta has opened Muse to external security researchers through a public bug-bounty programme.

The company says eligible vulnerability reports can receive rewards of up to $300,000, including substantial rewards for successful prompt-injection attacks with demonstrated impact.

Meta also published the security contact muse-security@meta.com for security and privacy experts interested in work related to the Confidential VM programme.

Meta Muse vs a Normal AI Chatbot

Capability	Typical AI Chatbot	Meta Muse
Answer questions	Yes	Yes
Create plans	Yes	Yes
Use a browser autonomously	Varies	Yes
Work after app closes	Usually limited	Yes
Connect personal apps	Varies	Core feature
Fill forms	Varies	Yes
Take actions	Often limited	Core feature
Make approved purchases	Limited	Supported
Long-term memory	Varies	Yes
Dedicated cloud computer	Not always	Yes

Meta Muse vs Muse Spark: What’s the Difference?

Muse is the consumer agent experience. Muse Spark is the AI model family providing much of the intelligence behind Meta’s newer AI products.

Meta’s September security documentation refers to Muse Spark 1.3 when discussing Muse’s prompt-injection resistance and browser capabilities. Developers can also access Muse-family models separately through Meta’s developer tools and Model API.

This distinction is similar to the difference between an AI model and a complete application built around that model. The model provides reasoning capability; the agent adds memory, permissions, connectors, a browser, background execution, security systems and user controls.

Meta Muse vs Muse Code

Muse Code is designed for software engineering. It can work across repositories, plan changes, write code, validate results and coordinate parallel coding agents.

The new Muse personal agent is much broader. It targets everyday consumers and personal workflows such as email, shopping, schedules, travel and long-term goals.

Who Is Meta Muse Best For?

• Busy professionals who want routine digital administration delegated.
• Entrepreneurs coordinating research, communications and operational tasks.
• Students who eventually gain access and want help coordinating schedules, projects and research workflows.
• Frequent travellers who need comparisons, planning and booking assistance.
• Online shoppers who want product research and assisted purchasing.
• People managing long-term goals such as fitness, learning or personal projects.
• Power AI users who have moved beyond simple question-answering and want an agent to execute work.

What Should You Not Delegate Blindly to Muse?

AI agents can save time, but autonomy increases the cost of mistakes. Users should apply additional review to high-impact tasks.

• Large or unusual purchases
• Financial transfers
• Legal commitments or contractual acceptance
• Important employment communications
• Medical decisions
• Tax or regulatory filings
• Deleting important information
• Account-security changes
• Messages that could materially affect a personal or professional relationship

The safest use of an agent is not necessarily “give it permission to do everything.” It is to give it the least authority necessary to complete the job and keep a human approval point wherever mistakes would be difficult to reverse.

Example Meta Muse Prompts

Travel Planning

Plan a three-day trip for two people next month.

Keep the total travel and hotel budget below $1,500.

Check my calendar first.

Compare realistic options and prepare the best itinerary.

Do not make any booking or payment until I approve the final price.

Inbox Management

Review my unread email from the last three days.

Group messages into:
- urgent action;
- needs a reply;
- informational;
- low priority.

Draft responses where useful, but do not send anything until I approve it.

Shopping

Find three suitable options for [PRODUCT].

My maximum budget is [BUDGET].

Compare total price, shipping, return policy and important product differences.

Recommend one.

Do not purchase anything without my approval.

Long-Term Goal

I want to complete [GOAL] within six months.

Create a realistic plan around my current calendar.

Break it into monthly and weekly actions.

Track progress and adjust the plan when my availability changes.

Ask me before making any external booking, purchase or commitment.

What Meta Muse Means for Students and AI Learners

Muse illustrates an important shift in artificial intelligence: the industry is moving from AI that generates answers toward AI that can perform actions.

This means students should learn more than prompt writing. Valuable skills increasingly include problem definition, tool use, AI verification, automation, APIs, workflow design, permissions, privacy and supervising autonomous systems.

Students who want to develop these capabilities can explore practical AI tools training, AI automation and prompt engineering rather than treating every AI product as just another chatbot.

What Meta Muse Means for Businesses

The immediate Muse product is consumer-focused, but the architecture illustrates where business AI is heading. Agents increasingly combine reasoning models with web access, connected services, memory, permissions and autonomous execution.

Businesses evaluating AI agents should pay attention to the same questions Muse is trying to solve:

• Which systems can the agent access?
• Can read and write permissions be separated?
• Where are credentials stored?
• Which actions require human approval?
• How is prompt injection handled?
• Is there an audit trail?
• Can the agent’s memory be inspected or deleted?
• How is training use controlled?
• What happens when the agent makes a mistake?

Should Indian Users Wait for Meta Muse?

Indian users interested in Muse do not need to stop using current AI tools while waiting for the rollout. Meta AI is already available in India, and several current AI products can perform research, reasoning, content creation and forms of automation.

The more important reason to monitor Muse is its attempt to make autonomous personal agents accessible to mainstream consumers through a familiar messaging interface rather than requiring technical setup.

Once Meta announces India availability, users should compare the final India pricing, supported integrations, language capabilities, payment support and privacy conditions rather than assuming the U.S. product will be duplicated exactly.

Frequently Asked Questions About Meta Muse