Meta releases Muse Wonder models for personal and professional agents

Meta released Muse Wonder and Muse Wonder Full on 12 October. Muse Wonder is available through its Model API and Muse Code; the Full version is available to Muse Code subscribers. Wider Muse experience integration is a planned rollout, not universal availability at launch. The models combine what Meta calls Active Memory, for retrieving relevant context across conversations, and Active Focus, for sustained multi-step work. The model card lists text, image, video and audio inputs, text output, and a 1 million-token inference context. Meta reports improvements on agent, coding and memory evaluations, but its score comparisons mix internal tests, provider-reported results and external sources rather than one fully controlled test setup. These are vendor evaluation claims, not proof of reliability on every real-world task. The model card acknowledges inaccurate or biased outputs, multi-step reasoning errors, visual/spatial limits and configuration-dependent performance. It recommends application-specific evaluation and human confirmation for irreversible agent actions. The accompanying graphic is Meta's official release artwork, not a hardware image.

DTT summary based on ETtech's report. The full article is on the publisher's site.