{"id":80804,"date":"2026-09-28T06:06:00","date_gmt":"2026-09-28T06:06:00","guid":{"rendered":"https:\/\/www.arimetrics.com\/?post_type=encyclopedia&#038;p=80804"},"modified":"2026-09-27T17:53:01","modified_gmt":"2026-09-27T17:53:01","slug":"muse","status":"publish","type":"encyclopedia","link":"https:\/\/www.arimetrics.com\/en\/digital-glossary\/muse","title":{"rendered":"Muse"},"content":{"rendered":"<p><img decoding=\"async\" class=\"boxpad alignright wp-image-80805 size-full\" src=\"https:\/\/www.arimetrics.com\/wp-content\/uploads\/2026\/09\/muse.jpg\" alt=\"Muse\" width=\"300\" height=\"300\" srcset=\"https:\/\/www.arimetrics.com\/wp-content\/uploads\/2026\/09\/muse.jpg 600w, https:\/\/www.arimetrics.com\/wp-content\/uploads\/2026\/09\/muse-300x300.jpg 300w, https:\/\/www.arimetrics.com\/wp-content\/uploads\/2026\/09\/muse-150x150.jpg 150w, https:\/\/www.arimetrics.com\/wp-content\/uploads\/2026\/09\/muse-360x360.jpg 360w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/> <strong>Definition:<\/strong><\/p>\n<p><strong>Muse<\/strong> is a personal artificial intelligence agent developed by Meta that can plan and carry out digital tasks on a user&#8217;s behalf. Unlike a chatbot focused on answering questions, it can use tools, connect to authorised services, and continue working in the background.<\/p>\n<p>Meta designed Muse for conversational interaction through its own app or WhatsApp. The system uses the Muse Spark model and runs in a dedicated virtual machine called Muse Secure VM, which hosts the agent&#8217;s environment and data from the services a person chooses to connect.<\/p>\n\n<h2>How Muse works<\/h2>\n<p>Muse receives a goal in natural language, prepares a plan, and uses the available tools to advance it. It can open a browser, fill in forms, consult connected services, and coordinate actions involving several steps. When a task takes longer, the agent can keep working after the app is closed and return when it finishes, detects a change, or needs a decision.<\/p>\n<p>The system combines three components. <strong>Muse Spark interprets the goal and directs the work<\/strong>, Muse Secure VM provides an isolated cloud environment, and connectors enable interactions with specific applications or services. Its actual capabilities depend on the enabled connectors and the permissions granted by the user.<\/p>\n<h2>What Muse can do<\/h2>\n<p>The functions demonstrated by Meta cover personal and administrative tasks, including:<\/p>\n<ul>\n<li><strong>Organise goals:<\/strong> Turn a broad objective into a plan and coordinate tasks, time, and resources.<\/li>\n<li><strong>Manage communications:<\/strong> Read authorised information and draft or send messages when the relevant permission is active.<\/li>\n<li><strong>Search for and arrange services:<\/strong> Browse websites, complete forms, and handle processes such as bookings.<\/li>\n<li><strong>Assist with purchases:<\/strong> Compare options and complete transactions through compatible payment systems, with confirmation for sensitive actions.<\/li>\n<li><strong>Work with personal information:<\/strong> Remember shared preferences or restrictions and use them in later tasks.<\/li>\n<li><strong>Act in the background:<\/strong> Maintain longer-running processes and report when there are results, changes, or pending decisions.<\/li>\n<\/ul>\n<p>These functions place Muse in the category of <a href=\"https:\/\/www.arimetrics.com\/en\/digital-glossary\/ai-agent\">AI agents<\/a>, because it combines a model with tools, memory, and the ability to act. The result depends not only on the conversation but also on the access available and the limits defined for each service.<\/p>\n<h2>Memory, permissions, and approvals<\/h2>\n<p>Muse can retain information that a person considers relevant, such as preferences, plans, or contextual details. This memory allows the agent to adapt later tasks and make suggestions without receiving every detail again. The user can ask it to forget specific items.<\/p>\n<p>Permissions are configured by application and type of access. For example, an email connection may allow reading only or may also permit sending. <strong>Sensitive actions require specific approval<\/strong>, such as before sending a message or making a purchase, and the system displays a record of completed and planned activity.<\/p>\n<h2>Privacy and security<\/h2>\n<p>According to the <a href=\"https:\/\/about.fb.com\/news\/2026\/09\/introducing-muse-personal-ai-agent\/\" target=\"_blank\" rel=\"noopener\">official introduction to Muse<\/a>, each agent operates in a dedicated virtual machine. Credentials are stored beyond the model&#8217;s direct reach, while an independent component called Sentinel evaluates internet connections and actions involving external services.<\/p>\n<p>Meta also states that conversations and virtual-machine data are not shared with its advertising systems, and that people can opt out of having their interactions used to train AI models. These controls reduce certain risks, but <strong>they do not make the agent infallible<\/strong>. Meta acknowledges that it can make mistakes and that external content may try to manipulate it through prompt injection.<\/p>\n<h2>Availability and access<\/h2>\n<p>At launch, Muse began rolling out in the United States for iOS, Android, and the web, while also supporting interaction through WhatsApp. Geographic availability, connectors, functions, and plans may change as Meta expands the service.<\/p>\n<p>Access to a connected application does not imply unlimited permission. Each integration defines what data Muse can consult and what operations it can perform. When a service does not have a compatible connector, some tasks may be carried out through the browser, subject to the relevant restrictions and confirmations.<\/p>\n<h2>Differences between Muse, Meta AI, and Muse Code<\/h2>\n<p>Muse belongs to Meta&#8217;s artificial intelligence ecosystem, but it is not equivalent to all of the company&#8217;s products:<\/p>\n<ul>\n<li><strong>Muse:<\/strong> A personal agent designed for goals and actions across connected services.<\/li>\n<li><strong>Meta AI:<\/strong> A conversational assistant integrated into Meta products and focused on answering, creating content, and helping within a conversation.<\/li>\n<li><strong>Muse Spark:<\/strong> A family of models that provides reasoning, tool-use, and coding capabilities; it is an underlying technology, not the complete personal agent.<\/li>\n<li><strong>Muse Code:<\/strong> A product designed for software-development tasks and separate from the personal Muse app.<\/li>\n<\/ul>\n<p>The main distinction is the <strong>ability to act and maintain work in the background<\/strong>. A conversational assistant produces responses, while an agent such as Muse can coordinate tools and execute a sequence of actions within the permissions it has been granted.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Muse is Meta&#8217;s personal AI agent. Learn how it works, what tasks it can perform, its permissions, memory, security, and differences from Meta AI.<\/p>\n","protected":false},"author":6,"featured_media":80808,"template":"","encyclopedia-tag":[1385],"class_list":["post-80804","encyclopedia","type-encyclopedia","status-publish","has-post-thumbnail","hentry","encyclopedia-tag-ai-agents"],"_links":{"self":[{"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/encyclopedia\/80804","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/encyclopedia"}],"about":[{"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/types\/encyclopedia"}],"author":[{"embeddable":true,"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/users\/6"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/media\/80808"}],"wp:attachment":[{"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/media?parent=80804"}],"wp:term":[{"taxonomy":"encyclopedia-tag","embeddable":true,"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/encyclopedia-tag?post=80804"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}