Meta says Muse Wonder is built for long-running, multi-step agent work through two features. Active Memory carries context across conversations and surfaces it when relevant. Active Focus keeps the models pursuing a goal through blockers by trying alternative approaches until the task is complete.
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Two things make Muse Wonder suited for long-running, multi-step work an agent faces every day:
-> Active Memory carries your context across conversations and surfaces it when it's relevant.
-> Active Focus keeps the models working toward your goal when a task gets challenging, trying alternative approaches, working through blockers, and following through to completion.
Source: AI at Meta · x.comPublished · added here
