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One Brain, Many AgentsMemory Should Follow the Person

換一個 AI 工具,不應該等於重新介紹自己;記憶應該跟著人,而不是跟著聊天視窗消失。Changing AI tools should not require explaining yourself again. Memory should follow the person, not disappear with a chat window.

分散筆記、共用知識庫與多個工作入口的三段分鏡
01 每個 Agent 各自失憶Each agent starts without context02 建立可審核的共用大腦A reviewed shared brain03 授權不同 Agent 查詢Authorized access across agents
中文版 Chinese version

問題不是模型不夠聰明

真正浪費的是每換一個工具,就要重新解釋偏好、決策和專案脈絡。聊天記錄散落,也很難控制哪些內容值得長期保留。

一個自己擁有的知識庫

One Brain, Many Agents 的核心是一份由使用者擁有、保留來源、可審核與可刪除的知識庫。Agent 只在獲得授權後查詢需要的內容。

記憶需要治理流程

不是把每段聊天全部保存,而是經過 Capture、Review、Organize、Index、Recall,讓記憶有品質,也有邊界。

English version

The Problem Is Not Model Intelligence

The waste comes from re-explaining preferences, decisions, and project context whenever tools change. Scattered chat history also makes long-term memory difficult to control.

A User-Owned Knowledge Base

The core is a user-owned knowledge base with sources, review, and deletion. Agents retrieve only what they are authorized to access.

Memory Needs Governance

The goal is not saving every chat. Capture, Review, Organize, Index, and Recall create both quality and boundaries.

Shared MemorySecond BrainKnowledge Management