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Meta MusePersonal agents, models, and developer tools.

Muse handles tasks across connected services. Muse Code works in your repository. Muse Spark powers the reasoning. Explore how the products fit together, what they cost, and where permissions apply.

Personal Muse: rolling out in the US.

AI illustration of Muse's cream-colored mascot with terminal, browser, model chip and connector symbols.
Muse brand illustration · AI-generated for AI IDE List.

Which Muse product does what?

Start with the task. Choose a ready-made agent, call a model through the API, or run a model on your own hardware.

Muse Spark 1.3Model for reasoning & tool use
Muse

Use the app or web interface to delegate a task. A cloud computer runs the tools and retains the working context.

Open official page

From a request to an action

Personal Muse can browse, work with email and calendars, and continue a task after you close the app. Give it an outcome, constraints and an approval boundary.

Find a New York–Tokyo round trip next month under $1,200. Watch prices for seven days and ask me before buying.
  1. 01

    Set constraints

    Dates, route and budget

  2. 02

    Find options

    Search and compare flights

  3. 03

    Monitor prices

    Recheck over seven days

  4. Request approval

    Ask before a purchase

Illustrative workflow; not a recorded Muse run.

Where permissions are enforced

A dedicated Linux VM runs the agent. Sentinel controls connector actions and outbound requests; authd stores credentials outside the agent's runtime.

  • Requests can be allowed, denied, or sent to you for approval.
  • The agent uses surrogate tokens; real credentials are inserted after authorization.
Muse Secure VM
Muse AgentRuntime cell · files · tools
Proposed action
SentinelAllow / deny / ask
authdCredential store
Authorized request
Connectors & internet
Simplified from Meta's architecture description.

Isolation has limits

Secure VM does not prevent Meta from accessing data to operate the service. Confidential VM is planned. Prompt injection remains an open problem.

Check data-use settings

Personal Muse can use sanitized interactions for training; settings provide an opt-out. API Standard and Contributor have separate data terms.

Muse Code and Meta Model API

Muse Code is the ready-made agent for a terminal or CI pipeline. Meta Model API gives your own application access to the models.

Muse CodePlans, edits files and runs commands in your project.

Meta Model APIhttps://api.meta.ai/v1

Install Muse Code
curl -fsSL https://dev.meta.ai/install.sh | sh
cd /path/to/your/project
muse

First run asks you to sign in and trust the project.

Lead agentPlan & coordinate
Worker · implementationWorker · validation
ReviewerCheck the changes

Conceptual multi-agent workflow. Availability of staged workflows varies by build. Windows currently lacks session messaging and voice input.

The models behind the products

Spark returns text and tool calls. Image generates pictures. Voice Transcribe turns audio into text. Glimmer is downloaded and self-hosted.

Muse Spark 1.3

Coding, tool use and long-running agent tasks.

1,048,576tokens of contextmuse-spark-1.3

Text, image, video and PDF inputs. Audio quality is limited in 1.3; use Spark 1.2 or Voice Transcribe for audio.

Muse Image

Generate and edit images.

$0.01 / image

Muse Voice Transcribe

Speech recognition with speaker diarization.

$0.18 / hour

Muse Glimmer

30B open-weight model for local agents. Hardware requirements depend on the runtime and quantization.

Apache 2.0

SAM 3.1

Locate and segment objects in images and video.

Boxes & masks

Services Muse can connect to

A selection from Meta's launch and Connect announcements. Announced partnerships may roll out gradually; check your account for availability.

14 services
ShopifyAvailable
InstacartAvailable
WalmartAnnounced
Best BuyAnnounced
SephoraAnnounced
WayfairAnnounced
NotionAnnounced
GranolaAnnounced
GitHubAnnounced
BoxAnnounced
Stripe LinkAvailable
Shop PayAnnounced
PayPalAnnounced
ExpediaComing soon

Bring your service to Muse

Describe your connector → submit it for functional, security and legal review → complete testing → appear in the directory if approved.

Connector Platform

Subscriptions and API usage are billed separately

These subscriptions are for Muse Code. API estimates below cover Spark token charges only, in US dollars.

Everyday Usage

$5/ month

About 10–50 prompts / 5 hours

High Usage

$15/ month

5× the Everyday usage allowance

Power Usage

$50/ month

20× the Everyday usage allowance

Allowances depend on task size and complexity.

Muse Spark 1.3 API cost calculator

USD per 1 million tokens
TierUncached inputCached inputOutput
Standard$1.25$0.15$4.25
Contributor$0.1$0.002$0.2

Enter total tokens for your estimate. Count cached and uncached input separately, without overlap.

Token charges only; excludes other tools, taxes and subscriptions.

Standard$0.8825

Prompts and completions are not used for training.

Contributor$0.0606

Allows training on prompts and completions; max reasoning is unavailable.

Hardware announcements

Muse on AI glasses

Meta says the integration will arrive in the coming months, allowing the agent to respond to what you are looking at.

Muse Charm

A pocket-sized voice device was announced at Connect. Meta says more details will follow later this year.

Common questions

Is Muse Code the same as Muse Spark?

Spark is the model. Muse Code adds the project environment, tools, command execution and approvals needed for coding work. You can also call Spark from your own software.

Is Contributor simply a cheaper Standard plan?

No. Contributor permits training on prompts and completions, and the max reasoning level is Standard-only. Choose according to data requirements as well as price.

Can I run Muse locally?

Personal Muse uses a cloud VM. Glimmer is a separate open-weight model for your hardware; it does not provide the complete personal Muse service by itself.

Is this a hands-on review?

This guide summarizes product documentation. Diagrams simplify the documented architecture; the sample task flow is illustrative. No performance or success-rate claims are based on our own testing.