docs: simplify README reflection wording (#296)
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Elliot Chen
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README.md
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README.md
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@ -22,8 +22,7 @@
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<br>
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- [EverOS 1.0.0](#everos-100)
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- [EverOS: One Memory For All](#everos-one-memory-for-all)
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- [How EverOS Is Different](#how-everos-is-different)
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- [Why Ever OS](#why-ever-os)
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- [Quick Start](#quick-start)
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- [Use Cases](#use-cases)
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- [Architecture At A Glance](#architecture-at-a-glance)
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@ -50,8 +49,8 @@
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> through [EverAlgo](https://github.com/EverMind-AI/EverAlgo).
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>
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> **Coming next:** Knowledge Wiki will turn memory into editable,
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> source-backed Markdown knowledge pages. Reflection, also called Dreaming,
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> will run when the system is idle or offline to connect signals, compress
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> source-backed Markdown knowledge pages. Reflection will run when the
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> system is idle or offline to connect signals, compress
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> history, and improve profiles and skills between sessions.
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<br>
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@ -62,7 +61,7 @@
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</div>
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## EverOS: One Memory For All
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## Why Ever OS
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EverOS is the local memory operating system for agents and makers. It gives
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one portable memory layer across coding assistants, apps, devices, and
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@ -70,59 +69,6 @@ workflows. Today it stores conversations, files, and agent trajectories as
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readable Markdown, then syncs local SQLite and LanceDB indexes for fast
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retrieval and self-evolving reuse.
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<table>
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<tr>
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<td width="33%" valign="top">
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<strong>Markdown As Source Of Truth</strong><br>
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<br>
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All memory is persisted as <code>.md</code> files: readable, editable,
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grep-able, Git-versioned, and openable directly in Obsidian.
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</td>
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<td width="33%" valign="top">
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<strong>Local Three-Part Stack</strong><br>
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<br>
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Markdown + SQLite + LanceDB keep vectors, BM25, and scalar filters
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local. No MongoDB, Elasticsearch, or Redis required.
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</td>
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<td width="33%" valign="top">
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<strong>Dual-Track Memory</strong><br>
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<br>
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Agent memory (<code>cases</code> / <code>skills</code>) and user memory
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(<code>episodes</code> / <code>profile</code>) are extracted independently.
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</td>
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</tr>
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<tr>
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<td width="33%" valign="top">
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<strong>Multimodal Ingestion</strong><br>
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<br>
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Text, images, audio, documents, PDFs, HTML, and email are unified into
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searchable memory.
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</td>
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<td width="33%" valign="top">
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<strong>Self-Evolution</strong><br>
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<br>
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Common skills are extracted from real usage; repeated patterns become
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reusable workflows, no retraining required.
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</td>
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<td width="33%" valign="top">
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<strong>Orthogonal Retrieval</strong><br>
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<br>
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Search independently by <code>user_id</code>, <code>agent_id</code>,
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<code>app_id</code>, <code>project_id</code>, and <code>session_id</code>.
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</td>
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</tr>
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</table>
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<br>
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<div align="right">
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[](#readme-top)
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</div>
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## How EverOS Is Different
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<table>
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<tr>
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<th width="28%">Title</th>
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@ -160,7 +106,7 @@ Search independently by <code>user_id</code>, <code>agent_id</code>,
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<td>❌ Usually retrieval, graph, dashboards, or generated summaries instead of editable source-backed pages</td>
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</tr>
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<tr>
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<td><strong>Dreaming / Reflection</strong></td>
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<td><strong>Reflection</strong></td>
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<td>✅ Coming next: Reflection that runs when the system is idle or offline to connect signals, compress history, and improve profiles and skills between sessions</td>
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<td>❌ Usually online read/write APIs, retrieval records, or summaries rather than idle-time memory consolidation</td>
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</tr>
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@ -805,7 +751,7 @@ becomes something users can read, correct, link, version, and open in their
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existing Markdown tools.
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</td>
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<td width="50%" valign="top">
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<strong>Dreaming / Reflection</strong><br>
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<strong>Reflection</strong><br>
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<br>
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Runs when the system is idle or offline to revisit stored memory, connect weak
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signals, compress noisy history into durable patterns, and improve profiles and
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@ -50,7 +50,7 @@
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> [EverAlgo](https://github.com/EverMind-AI/EverAlgo) 支撑的模块化算法。
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>
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> **即将推出：** Knowledge Wiki 会把记忆整理成可编辑、可溯源的
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> Markdown 知识页。Reflection（也称 Dreaming）会在系统空闲或离线时
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> Markdown 知识页。Reflection 会在系统空闲或离线时
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> 连接信号、压缩历史，并持续改进 profile 和 skills。
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<br>
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@ -152,7 +152,7 @@ Agent 记忆（<code>cases</code> / <code>skills</code>）与用户记忆（<cod
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<td>❌ 通常是 retrieval、graph、dashboard 或 generated summaries，而不是可编辑、可溯源的知识页</td>
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</tr>
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<tr>
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<td><strong>Dreaming / Reflection</strong></td>
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<td><strong>Reflection</strong></td>
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<td>✅ 即将推出：在系统空闲或离线时运行，用来连接信号、压缩历史，并在 session 之间改进 profiles 和 skills</td>
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<td>❌ 通常是在线读写 API、retrieval records 或 summaries，而不是空闲态记忆整理</td>
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</tr>
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@ -812,7 +812,7 @@ EverOS 1.0.0 是更大规模记忆系统路线图的第一个发布版本。Watc
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向量召回结果，而是用户可以阅读、修正、链接、版本化，并用现有 Markdown 工具打开的知识层。
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</td>
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<td width="50%" valign="top">
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<strong>Dreaming / Reflection</strong><br>
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<strong>Reflection</strong><br>
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<br>
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在系统空闲或离线时运行，重新审视已存储记忆，连接弱信号，把嘈杂历史压缩成稳定模式，
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并持续改进 profile 和 skills。目标是让 Agent 在活跃 session 之间也能变得更好，
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