Meta Is Working on Avatar Sharing for Its Muse AI Assistant

Meta is developing an avatar-sharing feature for Muse, its personal AI assistant, that could allow users to share customized animated characters through social platforms or links. The feature was spotted in Muse’s web interface, where a new Share option appears alongside existing avatar-editing controls. Selecting it reportedly opens a preview window with options to share the avatar socially or copy a link.

The feature has not been officially announced for public release, and Meta has not confirmed when it will become available. Its development comes as the company expands Muse beyond conventional text conversations, using personalized avatars and real-time animation to make interactions with AI agents more expressive. If launched, avatar sharing could help users showcase their customized assistants and make Muse more discoverable through social networks.

Key Takeaways

• New feature in development: Meta is working on avatar sharing for its Muse AI assistant.
• Social sharing: The interface reportedly includes social-sharing options and a button to copy a shareable link.
• Animated previews: Users can preview avatars in four states, including a working mode.
• No confirmed release date: The feature has appeared in Muse’s web implementation but is not yet publicly available.
• Part of a wider AI strategy: Meta is developing personalized agents and real-time avatars that can communicate through animated characters.
• Privacy remains important: Meta’s separate Muse conversation-sharing feature recently faced scrutiny over the discoverability of shared links, highlighting the need for careful sharing controls.

What Is Meta’s Muse Avatar-Sharing Feature?

Muse is Meta’s personal AI agent, designed to help users complete tasks, organize information and work across connected services. Unlike a conventional chatbot that primarily responds to prompts, Muse is intended to carry out tasks over time, with user permissions and approval requirements governing its actions.

The upcoming avatar-sharing feature would add a social dimension to the experience. According to TestingCatalog’s report published October 25, 2026, the Muse web interface contains a Share option alongside avatar-editing controls.

The reported interface opens a preview of the animated character and provides ways to share it through social platforms or copy a link. It also allows users to view the avatar in four different states, including a working mode.

These details suggest that Meta wants avatars to be more than decorative profile pictures. A character could become a recognizable visual identity for an individual user’s AI assistant, potentially making it easier to showcase customizations or introduce others to the Muse experience.

However, the feature remains under development. The presence of an interface in a web implementation does not guarantee that every planned function will ship in the final product.

How Avatar Sharing Could Work

Based on the interface reported by TestingCatalog, the intended process appears relatively straightforward.

Step	Expected functionality
1. Customize	Create or adjust the appearance of a Muse avatar
2. Preview	Open the sharing window to view the animated character
3. Choose a state	Preview the avatar in one of several visual states
4. Share	Use a social-sharing option or copy a generated link
5. View	Allow other people to open the shared avatar, subject to the final implementation

The exact behavior of shared links has not been fully confirmed. It remains unclear whether recipients will be able to view only the avatar, import a version of it into their own Muse experience or interact with it in a more advanced way.

That distinction matters. Sharing an image or animation is a relatively simple social feature. Allowing people to import an avatar into their own assistant would involve additional questions about customization, ownership, compatibility and moderation.

For now, the available evidence supports avatar previews and sharing controls—not a confirmed marketplace or a complete avatar-transfer system.

Why Meta Wants AI Assistants to Have Avatars

Personal AI assistants are becoming more capable of carrying out tasks in the background. As these systems take on longer-running work, their interfaces may need to communicate more than a stream of text messages.

An avatar can give an assistant a recognizable visual identity. It may also make voice-based conversations feel more natural by adding facial expressions, gestures and movement that correspond to speech.

Meta has already been developing technology in this area. In September 2026, Meta AI Research introduced Muse Realtime Avatar, a system designed to animate characters during live conversations. It can use reference media to generate expressive facial and body movements while keeping the character’s appearance consistent over successive conversational turns.

According to Meta’s technical announcement, the technology connects conversational speech with generated video so that voice, lip movement and expressions remain synchronized.

Avatar sharing could complement that work by making customized characters easier to show to other people. It would give users a reason to invest time in personalizing their assistants and potentially encourage organic discovery through shared content.

Muse Is Part of Meta’s Push Toward Personal AI Agents

Meta introduced Muse in September 2026 as a personal AI agent built to help users make progress on goals and complete tasks. It can work through a dedicated virtual machine with a browser and access to connected services, subject to its permission controls.

The company’s broader direction includes more ways to interact with Muse, including voice, shopping integrations, work-related connectors and future support for Meta’s AI glasses.

Avatars could become another part of this experience. Instead of treating an assistant as a generic chat interface, users could interact with a personalized character across different types of tasks and conversations.

This approach also gives Meta a potential advantage through its existing social ecosystem. Users are already familiar with sharing customized digital identities, stickers, images and short videos. A shareable AI avatar could fit naturally into those behaviors if Meta makes the feature easy to use.

Still, it is too early to conclude that avatar sharing will become a major growth channel. That will depend on the final feature set, how useful the shared content is and whether users want their AI assistants to have a public-facing identity.

Privacy Questions After Muse Sharing Concerns

Privacy is an important consideration because Meta’s development of avatar sharing comes amid separate concerns about sharing features in Muse.

In October 2026, security researchers reported that thousands of Muse conversation-sharing links could be discovered through public DNS records. The links could expose shared conversations to people who had not been directly sent the URLs. Meta temporarily paused the affected sharing functionality while it reviewed the issue.

Subsequent reporting on October 24 said Meta had restored sharing after making changes, with new URLs for previously shared content. The earlier links reportedly no longer worked. This episode concerned the sharing of conversations and artifacts, which is distinct from the avatar-sharing feature currently under development.

The distinction is important: the reported avatar interface does not itself establish that private conversations or account information would be exposed. But any new sharing feature needs clear boundaries between public content and private agent data.

Before launching avatar sharing, Meta will need to make it clear what a link reveals, whether it can be discovered publicly, how users revoke access and whether sharing an avatar also exposes any associated information about its creator or assistant.

Users should not assume that a shareable avatar link grants access only to the visible character until the final behavior and privacy controls are documented.

Could Meta Eventually Build an Avatar Community?

A shareable avatar feature could create opportunities for users to discover new character designs, exchange ideas and customize their own assistants based on visual inspiration.

One possibility is a community gallery where users can browse avatars created by others. Another is a collection of reusable character styles or templates. Dedicated avatar stores are also conceivable if Meta eventually supports importing and reusing shared designs.

These are potential future directions, not confirmed product plans. TestingCatalog noted that it remains unclear whether users will be able to save multiple avatars, switch between imported designs or share complete agents rather than just their avatars.

If Meta eventually adds these capabilities, avatar sharing could become more than a simple export function. It could provide a lightweight social layer around personalized AI assistants.

That approach would also introduce moderation and intellectual-property challenges. Shared avatars could imitate recognizable characters, public figures or existing brands, requiring policies for impersonation, misleading representations and unauthorized use.

What Users and Developers Should Watch For

The immediate question is when Meta will make the feature available and what exactly users will be able to share. A public announcement should clarify supported platforms, whether sharing is limited to web or also available on mobile, and whether recipients need a Muse account.

Users should also look for privacy settings that distinguish between sharing an avatar publicly and sharing private conversations or work produced by the assistant.

For developers and designers, the feature could offer another way to think about AI interfaces. As assistants become more personalized, visual identity may become part of the user experience alongside voice, memory and connected tools.

However, the usefulness of an avatar will depend on the quality of the underlying assistant. A character may make an interaction more engaging, but it cannot compensate for poor task performance, unclear permissions or weak privacy protections.

The Bigger Picture

Meta’s avatar-sharing work reflects a broader shift in how technology companies are presenting AI assistants. As agents become capable of handling longer-running tasks, companies are exploring more personalized interfaces that make these systems feel familiar and expressive.

Avatar sharing could help Muse become more social and visually distinctive, especially if users can easily preview and share customized characters. Meta’s existing work on real-time avatar animation gives the feature a technical foundation, but the product’s success will depend on how well it combines customization, usefulness and privacy.

For now, the feature remains an early development signal rather than a confirmed public launch. The next meaningful milestone will be an official release with clear details about sharing behavior, availability and controls over what other people can see.

FAQs

1. What is Meta’s Muse avatar-sharing feature?

It is a feature under development that reportedly allows users to preview customized animated Muse avatars and share them through social platforms or links.

2. Has Meta officially launched avatar sharing?

No public launch date has been confirmed. The feature was spotted in Muse’s web interface, but it is still under development.

3. Can users import someone else’s Muse avatar?

That capability has not been confirmed. It remains unclear whether the feature will support importing avatars, switching between saved designs or sharing complete agents.

4. What is Muse Realtime Avatar?

Muse Realtime Avatar is Meta’s technology for generating expressive animated characters during live conversations. It synchronizes speech with visual movements and expressions.

5. Is avatar sharing the same as sharing Muse conversations?

No. Avatar sharing concerns a customized character, while conversation sharing involves links to chats or artifacts. The two functions are separate, and their privacy implications may differ.

Looking Ahead

Meta’s next step will be to clarify whether avatar sharing is a standalone customization feature or the beginning of a broader ecosystem for personalized AI characters. An official launch could reveal whether users can share static previews, animated states, reusable designs or more interactive experiences.

The feature also demonstrates why privacy must remain central as AI products become more social. If Meta can make avatars easy to share while keeping private conversations and agent data separate, the functionality could make Muse more engaging without unnecessarily increasing users’ exposure.