# Meta introduces Muse Wonder models for agents

> Meta says its two Muse Wonder models target personal and professional agent tasks.

- Canonical URL: https://newsverum.com/en/news/meta-introduces-muse-wonder-agent-models
- Publisher: Newsverum
- Section: Technology
- Country: United States
- Published: 2026-10-15T16:53:09+00:00
- Updated: 2026-10-15T16:53:09+00:00
- Event / data period: 2026-10-12
- Other editions: [Türkçe](https://newsverum.com/tr/news/meta-introduces-muse-wonder-agent-models.md), [العربية](https://newsverum.com/ar/news/meta-introduces-muse-wonder-agent-models.md), [Français](https://newsverum.com/fr/news/meta-introduces-muse-wonder-agent-models.md), [Español](https://newsverum.com/es/news/meta-introduces-muse-wonder-agent-models.md), [Deutsch](https://newsverum.com/de/news/meta-introduces-muse-wonder-agent-models.md), [Português](https://newsverum.com/pt/news/meta-introduces-muse-wonder-agent-models.md)

Meta introduced the Muse Wonder series, comprising Muse Wonder and Muse Wonder Full. The company says the models deliver strong results on evaluations of personal and professional agent tasks, memory and coding. Muse Wonder is available today through the Meta Model API and Muse Code; Muse Wonder Full is available to Muse Code subscribers.

Meta describes Muse Wonder as combining active memory for carrying useful context across conversations with sustained focus on longer tasks. It says the model will later power experiences in the Muse app, rolling out first to subscribers. The announcement does not provide open-weight or pricing details.

## Data

### Meta introduces Muse Wonder models for agents

Date and scope of the development reported in the primary source.

Methodology: The announcement date published by the source is recorded as one event.

| date | label | description | status |
|---|---|---|---|
| 2026-10-12 | Meta introduces Muse Wonder models for agents | Meta says its two Muse Wonder models target personal and professional agent tasks. | occurred |

Sources: <https://research.meta.ai/blog/muse-wonder> · Download data: [JSON](https://newsverum.com/api/v1/articles/meta-introduces-muse-wonder-agent-models/data/announcement-event?lang=en&format=json) · [CSV](https://newsverum.com/api/v1/articles/meta-introduces-muse-wonder-agent-models/data/announcement-event?lang=en&format=csv)

## Sources

- [Meta AI Research](<https://research.meta.ai/blog/muse-wonder>) (Source checked: 2026-10-15; Published: 2026-10-12)

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