Meta 发布 Muse Wonder：主打长时程多步任务的智能体
Two things make Muse Wonder suited for long-running, multi-step work an agent faces every day: -> A...
Meta 新出的 Muse Wonder 专门干长链条的活，记忆能跨对话延续，卡住了还会自己换路子重试，做智能体的可以看看这两个设计。
Meta 发布 Muse Wonder 智能体，针对长时程、多步骤任务设计了两个核心机制。Active Memory 会跨对话携带上下文，并在相关时机自动调用。Active Focus 让模型在任务卡住时尝试替代方案、排除阻塞并推进到完成。
Two things make Muse Wonder suited for long-running, multi-step work an agent faces every day: -> A...
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. 💬 4 🔄 3 ❤️ 32 👀 1896 📊 7 ⚡
