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Meta launches Muse Wonder and Wonder Full for AI agents

Meta launched Muse Wonder and Muse Wonder Full, which it calls its most capable models for personal and professional agentic work, with Muse Wonder available through the Meta Model API and Muse Code and Muse Wonder Full available to Muse Code subscribers. Meta trained both models at its gigawatt-scale Prometheus data center and said they lead across evaluations covering personal and professional agents, memory, sustained execution, coding, domain expertise, private-information handling, and resistance to misuse. The release follows a fourteen-month overhaul of Meta's AI stack and precedes a fuller safety report that is due soon.

by read2 min views2 publishedOct 12, 2026
Meta launches Muse Wonder and Wonder Full for AI agents
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Meta has launched Muse Wonder and Muse Wonder Full, calling them its most capable models for personal and professional agentic work. Muse Wonder is now available through the Meta Model API and Muse Code, while Muse Wonder Full is available to Muse Code subscribers. The standard model will also reach Muse, first for subscribers, and will support artifact generation and other processes that demand greater intelligence.

The new family combines Active Memory with Active Focus. Active Memory carries important personal context across conversations and retrieves relevant details when a task calls for them. Active Focus is designed to keep the model working through difficult goals by trying alternative approaches, handling blockers, adapting to new information, requesting clarification when needed, and checking before important actions. Meta says the models can apply domain knowledge to legal, financial, and health tasks, while their coding capabilities span small apps and long-running software projects that require repeated testing and revision.

Meta trained both models at its gigawatt-scale Prometheus data center and built on the scaling approach introduced with Muse Spark. Meta says they lead across evaluations covering personal and professional agents, memory, sustained execution, coding, domain expertise, private-information handling, and resistance to misuse.

The company also argues that Muse Wonder Full generalizes beyond tasks emphasized during post-training. As test-time compute rises, it performs better on unfamiliar tasks than the Muse Spark 1.3 trend would predict, which Meta attributes to a larger, stronger base model.

The release follows a fourteen-month overhaul of Meta’s AI stack and marks its next step toward personal superintelligence. Meta plans to use Muse Wonder in consumer experiences and to develop specialized models for people using Muse. That ambition comes with deeper access to messages, calendars, and private documents, so the company is positioning discretion and adversarial robustness as core requirements. It calls Muse Wonder its most aligned model yet and says it offers its strongest safeguards against chemical, biological, radiological, nuclear, and cyber misuse while retaining advanced cyber capabilities for defensive work. A fuller safety report is due soon.

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