Muse Description

Meta Muse is a personal AI agent built to help users complete everyday tasks rather than only answer questions in a chat interface. The service operates through a persistent secure virtual machine equipped with its own browser so it can navigate websites and carry out online workflows. Muse can help with activities such as scheduling appointments, completing forms, interacting with customer service, and making arrangements on the user’s behalf. Users can communicate with the agent through the Muse app or directly in WhatsApp using a conversational messaging interface. The agent can connect with services such as email, calendars, Instagram, and other frequently used applications to work across a broader set of personal tasks. Muse can turn goals into action plans, track progress, and proactively suggest additional steps based on what the user is trying to accomplish. For consequential actions such as sending emails or completing purchases, the system can request approval before proceeding and provides an audit trail of agent activity. Login credentials are stored in a secure credential system that the agent itself cannot read, while checkout workflows can use one-time card numbers so the user’s primary payment information is not exposed. Muse is designed for people who want an AI agent that can actively execute tasks, coordinate across apps, and continue working toward goals with user oversight.

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Muse Code Reviews
Muse Code
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Muse Code is a beta terminal coding agent from Meta designed to help developers complete complex software engineering work across large codebases. Powered by Muse Spark 1.2, the agent can plan repository changes, write code, run validation steps, and coordinate persistent subagents for difficult development tasks. Muse Code uses a simple main agent loop supported by async background agents that remain active throughout each session. These background agents can gather information, carry out next steps, and decide when to report back to the main agent, reducing latency and unnecessary user steering. The runtime is built around a local event log where every model call, tool run, approval, and edit is appended. This event log makes Muse Code replay-exact and restart-safe, allowing it to resume from the point of failure after a crash. Muse Code also ships with default skills, including /plan, /grill, and /goal, to support structured planning, plan validation, and objective completion. It can be installed on macOS or Linux and is integrated with Meta’s AI developer ecosystem. By combining terminal-based coding, persistent subagents, replay-safe execution, bundled skills, and Muse Spark 1.2, Muse Code helps developers automate larger and longer software engineering workflows.
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Codex is an advanced AI coding assistant from OpenAI that helps developers streamline the entire software development process from start to finish. It functions as a powerful pair programmer capable of understanding repositories, writing code, and generating production-ready pull requests. The platform supports complex workflows, including debugging, refactoring, testing, and code reviews, all within a unified environment. One of its standout features is computer use, which allows Codex to operate your computer directly by seeing the screen, clicking, and typing within applications. This capability enables it to interact with tools and software that lack direct integrations or APIs. Codex also includes an in-app browser, allowing developers to iterate on web applications and provide precise instructions directly on live pages. It integrates with a wide range of tools and plugins, enhancing its ability to gather context and take action across workflows. The platform supports multi-agent collaboration, enabling parallel work across projects to accelerate development timelines. Codex also offers automation features that allow it to schedule and complete recurring tasks without manual input. With memory capabilities, it can remember preferences and past actions to improve future performance. Overall, Codex delivers a comprehensive AI-powered solution that combines coding, automation, and real-world computer interaction to boost developer efficiency.
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Pricing

Pricing Starts At:
Free
Free Version:
Yes

Integrations

View Integrations

Reviews - 1 Verified Review

Total
ease
features
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Company Details

Company:
Meta
Year Founded:
2004
Headquarters:
United States
Website:
ai.meta.com/muse/

Media

Muse Screenshot 1
Muse Screenshot 1 Muse Screenshot 2 Muse Screenshot 3
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Product Details

Platforms
Web-Based
Mac
iPhone App
iPad App
Android App
Types of Training
Training Docs
Customer Support
Online Support

Muse Features and Options

Muse User Reviews

Write a Review
  • Name: Anonymous (Verified)
    Job Title: Product
    Length of product use: Less than 6 months
    Used How Often?: Daily
    Role: User
    Organization Size: 100 - 499
    Features
    Ease
    Pricing
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Solid agent from Meta

    Date: Sep 11 2026

    Summary: Overall, Muse feels like one of Meta’s most serious attempts to turn AI into an actual everyday agent. If it can reliably complete tasks while keeping users in control, it could become a major productivity tool for people who want AI to do work, not just talk about it.

    Positive: It is meant to take action, work across apps and websites, and help move longer-term goals forward instead of only answering questions. The private cloud computer idea is a big deal. If an agent is going to browse, shop, schedule, and use personal accounts, privacy and permissions have to be built into the product from the start. Meta says Muse Confidential VM is designed to prevent even Meta from accessing the data inside that environment.

    Negative: The main downside is trust. A personal AI agent that can act across the web needs very clear controls, logs, confirmations, and limits. I would start with low-risk tasks before giving it access to anything sensitive.

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