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\"bold\"}]}, {\"text\": \"。你不得不一遍遍重新上传文档、重复交代边界条件，甚至看着它在今天的新窗口里，把昨天明明已经排除掉的错误方案又给你推荐了一遍。\", \"type\": \"text\"}]}, {\"type\": \"paragraph\"}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"为什么给 Agent 加记忆，不能只是“把聊天记录塞进向量库”？\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}, {\"type\": \"hardBreak\"}, {\"text\": \"很多记忆工具的做法是把历史对话切碎扔进向量数据库。但在真实项目里，\", \"type\": \"text\"}, {\"text\": \"我们真正想留下来的不是充满试错废话的聊天记录，而是沉淀下来的经验\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}, {\"text\": \"。把聊天流水账全存下来，只会让过期的假设和噪音污染后续的上下文。\", \"type\": \"text\"}]}, {\"type\": \"paragraph\"}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"Hipo Hipo 是怎么做的？\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}, {\"type\": \"hardBreak\"}, {\"text\": \"在 Hipo Hipo 里，你可以为每一个长期项目或研究课题建立一个专属的 \", \"type\": \"text\"}, {\"text\": \"Brain（经验储存器）\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}, {\"text\": \"：\", \"type\": \"text\"}]}, {\"type\": \"orderedList\", \"attrs\": {\"type\": 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\"项目是动态演进的。当你在新会话中得出的新结论 B 与过去的决策 A 相矛盾时，Hipo Hipo 不会静默地用 B 暴力覆盖 A，而是会\", \"type\": \"text\"}, {\"text\": \"先把冲突暴露出来\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}, {\"text\": \"，由你确认这是“正式变更”、“局部例外”，还是仅仅一次“临时试错”，保持项目记忆干净可靠。\", \"type\": \"text\"}]}]}, {\"type\": \"listItem\", \"content\": [{\"type\": \"paragraph\", \"content\": [{\"text\": \"一个 Brain，接入不同 Agent\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}, {\"text\": \"：\", \"type\": \"text\"}, {\"type\": \"hardBreak\"}, {\"text\": \"原始材料提供证据，项目记忆保存决策，外部 Agent（如 Claude、Cursor、各类聊天窗口）负责干活，产出的新结论经过治理后再写回 Brain。\", \"type\": \"text\"}]}]}]}, {\"type\": \"paragraph\"}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"对于不同「猹友」的使用场景：\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}]}, {\"type\": \"bulletList\", \"content\": [{\"type\": \"listItem\", \"content\": [{\"type\": \"paragraph\", \"content\": [{\"text\": \"对于科研与学术党\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}, {\"text\": \"：一个研究课题建一个 Brain，把文献 PDF、实验记录、想法和阶段性结论放在同一处，换任何模型提问都能对上上下文。\", \"type\": \"text\"}]}]}, {\"type\": \"listItem\", \"content\": [{\"type\": \"paragraph\", \"content\": [{\"text\": \"对于投研与商业分析\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}, {\"text\": \"：持续沉淀多季度财报、纪要与分析笔记。接入 Agent 直接问“管理层有没有下调下季度指引？”，AI 能立刻调取原始财报证据与过往笔记作答。\", \"type\": \"text\"}]}]}, {\"type\": \"listItem\", \"content\": [{\"type\": \"paragraph\", \"content\": [{\"text\": \"对于多 Agent 开发者（Vibe Coders）\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}, {\"text\": \"：在网页端讨论完架构约束，切到编程 Agent 写代码时无需从头对齐背景，架构决策与避坑经验实时同步。\", \"type\": \"text\"}]}]}]}, {\"type\": \"paragraph\"}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"我们的理念：Your workspaces follow you, not your agents.\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}, {\"type\": \"hardBreak\"}, {\"text\": \"Agent 工具每年都在快速洗牌，未来一定会有更好用的工具出现。\", \"type\": \"text\"}, {\"text\": \"Agent 可以随时换，但你积累的记忆和 Context 必须属于你自己。\", \"type\": \"text\", \"marks\": 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