🔥人才是Agent最大的瓶颈！DeepSeek用Harness把Session工具重构成“持续干活的同事”！
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🔥人才是Agent最大的瓶颈！DeepSeek用Harness把Session工具重构成“持续干活的同事”！ 梁文峰点破关键：模型越来越能独立干复杂活，Agent瓶颈正从“模型能力”转向“人的注意力”。 一个人通常只能同时跟进3～5个活跃Session。多任务并行时，用户还要不停切换会话、同步上下文、协调任务，人，成了最大限制。 DeepSeek的解法：让Agent摆脱单次对话，变成持续在线、能主动干活的协作伙伴。 核心设计拆解： 1️⃣Router + Worker 双层架构 Router管全局协调、上下文和任务分发；Worker独立并行执行具体任务。Session不再是用户要管的对象，而是系统内部细节。 2️⃣从Prompt驱动走向事件驱动 不再干等用户输入，主动监听IM、GitHub、邮件、CI等事件，两级过滤后自动发现值得处理的任务。甚至用户还在讨论方案时，它已经开始尝试复现和修复问题。 3️⃣上下文像缓存一样管理 Inline & Spill：高频信息进上下文，低频外置按需读。Chain of Recall沿引用关系逐步找回历史任务和关联上下文。 4️⃣异步交互 + 持久在线 耗时任务丢后台，Agent照样响应新消息。计算、状态持久化与执行环境分离，云端Agent能接入本地机器，跨设备持续工作。 5️⃣Watchdog自我监控 独立Watchdog Age
Posted by SuSu_酥酥👅 (25.2k followers) 1 h ago · 15 likes · 1k views · view the original post on X. Kept by the Dev Radar as AI dev tools.
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