feat(docs): add multilingual documentation with GitHub Pages deployment (#287)
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* feat(docs): add multilingual documentation with GitHub Pages deployment

* docs(readme): update agent integration documentation with current status
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22 changed files with 683 additions and 12 deletions

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name: Deploy Docs
on:
push:
branches: [main]
paths:
- 'docs/**'
- '.github/workflows/docs.yml'
workflow_dispatch:
permissions:
contents: read
pages: write
id-token: write
# Allow one concurrent deployment; don't cancel an in-progress run.
concurrency:
group: pages
cancel-in-progress: false
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: '3.11'
cache: 'pip'
- name: Install dependencies
run: pip install "jupyter-book<2" furo sphinx-design sphinxcontrib-mermaid
- name: Build both language books
run: |
jupyter-book build docs/zh --path-output docs/_build/zh
jupyter-book build docs/en --path-output docs/_build/en
- name: Assemble site
run: |
rm -rf site
mkdir -p site
# Per-language books served under /zh/ and /en/.
cp -r docs/_build/zh/_build/html site/zh
cp -r docs/_build/en/_build/html site/en
# Shared figures (referenced as ../figure/* from both books).
cp -r docs/figure site/figure
# Root redirect to the default (English) docs.
cp docs/_landing/index.html site/index.html
echo "reme.agentscope.io" > site/CNAME
touch site/.nojekyll
- name: Upload Pages artifact
uses: actions/upload-pages-artifact@v3
with:
path: site
deploy:
needs: build
runs-on: ubuntu-latest
environment:
name: github-pages
url: ${{ steps.deployment.outputs.page_url }}
steps:
- name: Deploy to GitHub Pages
id: deployment
uses: actions/deploy-pages@v4

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@ -105,14 +105,14 @@ curl -s http://127.0.0.1:2333/version -H 'Content-Type: application/json' -d '{}
### Agent Integration
ReMe integrates with supported agent frameworks through **SKILL.md + CLI + hooks (optional)**. A typical integration looks like this:
ReMe runs as a service and exposes its memory through CLI / MCP jobs. Agents adopt it in whatever way fits them — embedding ReMe directly in their own code, or installing it as a plugin — and wire `auto_memory` / `proactive` into their lifecycle so conversations are consolidated into memory and surfaced at the right time. Indexing (`auto_index`) and resource processing (`auto_resource`) run automatically via file watching, and `auto_dream` consolidates daily memories into long-term digests on a schedule.
- Add the [memory skill](skills/reme_memory/SKILL.md) to the agent and grant the agent permission to call the CLI.
- Call `auto_memory` and `proactive` from agent hooks as needed, so conversations are automatically consolidated into daily memories and proactive reminders can be read at the right time.
- `auto_index` and `auto_resource` are triggered by file monitoring to maintain indexes and process resources.
- `auto_dream` is triggered by a scheduled task to further organize daily memories into reusable long-term digest memories.
Integration status across agents:
QwenPaw 2.0 will integrate the new ReMe version. A Claude Code plugin will also be released later to reduce manual integration work.
| Agent | Status | How it integrates |
|------------------------------------------------------------|----------------|-----------------------------------------------------------------------------------------------------------|
| [QwenPaw](https://github.com/agentscope-ai/QwenPaw) | ✅ Available | [Deep SDK integration](https://github.com/agentscope-ai/QwenPaw/blob/main/src/qwenpaw/agents/memory/reme_light_memory_manager.py) — embeds the ReMe app in-process and drives `search` / `auto_memory` / `auto_dream` jobs via `run_job`, reusing the agent's own model (no separate server). |
| [Claude Code](plugins/reme) | ✅ Available | Plugin: HTTP MCP server for recall, a `reme-memory` skill, and a Stop hook that records each session via `auto_memory_cc`. |
For more details, see the [Quick Start](docs/zh/quick_start.md).

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@ -104,14 +104,14 @@ curl -s http://127.0.0.1:2333/version -H 'Content-Type: application/json' -d '{}
### 快速接入
ReMe 通过 **SKILL.md + CLI + hook可选** 接入支持的 Agent 框架。典型接入方式如下:
ReMe 以服务形式运行,通过 CLI / MCP job 对外暴露记忆。各 Agent 按各自合适的方式接入——可以把 ReMe 直接嵌进自己的代码,也可以作为 plugin 安装——并把 `auto_memory` / `proactive` 接入自身生命周期,让对话沉淀为记忆并在合适时机浮现。索引(`auto_index`)与资源加工(`auto_resource`)由文件监控自动触发,`auto_dream` 则按计划把 daily 记忆整理为可长期复用的 digest。
- 为 Agent 添加 [memory skill](skills/reme_memory/SKILL.md),并授予 Agent 调用 CLI 的权限。
- 在 Agent hook 中按需调用 `auto_memory``proactive`,让对话自动沉淀为 daily 记忆,并在合适时机读取主动提醒。
- `auto_index``auto_resource` 由文件监控自动触发,负责索引维护和资源加工。
- `auto_dream` 由定时任务触发,将 daily 记忆进一步整理为可长期复用的 digest 记忆。
各 Agent 接入状态:
QwenPaw 2.0 将集成新版 ReMe后续也会推出 Claude Code plugin进一步降低手动接入成本。
| Agent | 状态 | 接入方式 |
|------------------------------------------------------|-------------|----------------------------------------------------------------------------------------------|
| [QwenPaw](https://github.com/agentscope-ai/QwenPaw) | ✅ 已支持 | [SDK 深度集成](https://github.com/agentscope-ai/QwenPaw/blob/main/src/qwenpaw/agents/memory/reme_light_memory_manager.py)——进程内嵌入 ReMe 应用,通过 `run_job` 驱动 `search` / `auto_memory` / `auto_dream`,并复用 Agent 自身模型(无需独立 server)。 |
| [Claude Code](plugins/reme) | ✅ 已支持 | Plugin:HTTP MCP server 做召回、`reme-memory` skill,外加在会话结束时经 `auto_memory_cc` 录入的 Stop hook。 |
更多细节见 [快速开始](docs/zh/quick_start.md)。

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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>ReMe Documentation</title>
<link rel="canonical" href="en/">
<!-- Default to the English docs; the sidebar switcher offers 中文. -->
<meta http-equiv="refresh" content="0; url=en/">
<script>location.replace("en/");</script>
</head>
<body>
<p>Redirecting to the <a href="en/">ReMe documentation</a></p>
</body>
</html>

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/* Heading sizes — tighten furo's defaults */
h1, .bd-article h1 {
font-size: 1.8rem !important;
}
h2, .bd-article h2 {
font-size: 1.5rem !important;
}
h3, .bd-article h3 {
font-size: 1.25rem !important;
}
h4, .bd-article h4 {
font-size: 1.1rem !important;
}
h5, .bd-article h5 {
font-size: 1rem !important;
}
h6, .bd-article h6 {
font-size: 0.9rem !important;
}
/* Centered brand in the sidebar */
.sidebar-brand {
text-align: center;
}
.sidebar-brand .sidebar-logo {
max-width: 60%;
margin: 0 auto;
}
/* Language switcher (injected by switcher.js) */
.lang-switch {
display: flex;
gap: 0.4rem;
justify-content: center;
margin: 0.4rem 0 0.9rem;
}
.lang-switch a {
font-size: 0.8rem;
line-height: 1.4;
padding: 0.12rem 0.7rem;
border-radius: 999px;
border: 1px solid var(--color-background-border);
color: var(--color-foreground-secondary);
text-decoration: none;
cursor: pointer;
}
.lang-switch a:hover {
border-color: var(--color-brand-primary);
color: var(--color-brand-primary);
}
.lang-switch a.active {
background: var(--color-brand-primary);
border-color: var(--color-brand-primary);
color: #fff;
cursor: default;
}
.lang-switch--float {
position: fixed;
top: 0.6rem;
right: 0.8rem;
z-index: 50;
margin: 0;
background: var(--color-background-primary);
padding: 0.3rem 0.4rem;
border-radius: 999px;
box-shadow: 0 1px 4px rgba(0, 0, 0, 0.15);
}

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// Language switcher for the ReMe docs.
//
// Each language is a separate Jupyter Book served under /zh/ and /en/ with the
// same page filenames. This injects a 中文 / EN toggle into the furo sidebar
// (falling back to a floating control) that swaps the language path segment of
// the current URL.
(function () {
"use strict";
var path = window.location.pathname;
var current, otherHref;
if (path.indexOf("/en/") !== -1) {
current = "en";
otherHref = path.replace("/en/", "/zh/");
} else if (path.indexOf("/zh/") !== -1) {
current = "zh";
otherHref = path.replace("/zh/", "/en/");
} else {
return; // not inside a language book (e.g. the root landing page)
}
function makeLink(label, lang) {
var a = document.createElement("a");
a.textContent = label;
if (lang === current) {
a.className = "active";
} else {
a.href = otherHref;
}
return a;
}
var wrap = document.createElement("div");
wrap.className = "lang-switch";
wrap.appendChild(makeLink("中文", "zh"));
wrap.appendChild(makeLink("EN", "en"));
function inject() {
var brand = document.querySelector(".sidebar-brand");
if (brand && brand.parentNode) {
brand.parentNode.insertBefore(wrap, brand.nextSibling);
} else {
wrap.classList.add("lang-switch--float");
document.body.appendChild(wrap);
}
}
if (document.readyState !== "loading") {
inject();
} else {
document.addEventListener("DOMContentLoaded", inject);
}
})();

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# Jupyter Book settings — English docs (built as a standalone book, served at /en/).
# Learn more at https://jupyterbook.org/customize/config.html
project: "ReMe"
title: "<div style='text-align:center'>
<span style='font-weight:700;color:#2196f3;'>AgentScope</span><br>
<span style='font-weight:900;color:#ff5722;'>ReMe</span>
</div>"
author: Alibaba Tongyi Lab
logo: ../figure/reme_logo.png
copyright: "2025, Tongyi Lab, Alibaba Inc."
only_build_toc_files: true
execute:
execute_notebooks: off
parse:
myst_enable_extensions:
- colon_fence
- deflist
- attrs_inline
- dollarmath
sphinx:
extra_extensions:
- sphinx_design
- sphinxcontrib.mermaid
config:
# Render ```mermaid fences as diagrams; generate heading anchors for in-page links.
myst_fence_as_directive:
- mermaid
myst_heading_anchors: 4
# Theme
html_theme: furo
pygments_style: "friendly"
html_show_sphinx: false
html_last_updated_fmt: "%Y-%m-%d"
html_copy_source: false
html_show_sourcelink: false
# Shared assets live in docs/_static (custom.css + the language switcher).
html_static_path:
- "../_static"
html_css_files:
- custom.css
html_js_files:
- switcher.js
use_multitoc_numbering: false
html_theme_options:
sidebar_hide_name: false
source_repository: "https://github.com/agentscope-ai/ReMe"
source_branch: "main"
source_directory: "docs/en/"
footer_icons:
- name: GitHub
url: "https://github.com/agentscope-ai/ReMe"
html: |
<svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 16 16">
<path fill-rule="evenodd" d="M8 0C3.58 0 0 3.58 0 8c0 3.54 2.29 6.53 5.47 7.59.4.07.55-.17.55-.38 0-.19-.01-.82-.01-1.49-2.01.37-2.53-.49-2.69-.94-.09-.23-.48-.94-.82-1.13-.28-.15-.68-.52-.01-.53.63-.01 1.08.58 1.23.82.72 1.21 1.87.87 2.33.66.07-.52.28-.87.51-1.07-1.78-.2-3.64-.89-3.64-3.95 0-.87.31-1.59.82-2.15-.08-.2-.36-1.02.08-2.12 0 0 .67-.21 2.2.82.64-.18 1.32-.27 2-.27.68 0 1.36.09 2 .27 1.53-1.04 2.2-.82 2.2-.82.44 1.1.16 1.92.08 2.12.51.56.82 1.27.82 2.15 0 3.07-1.87 3.75-3.65 3.95.29.25.54.73.54 1.48 0 1.07-.01 1.93-.01 2.2 0 .21.15.46.55.38A8.013 8.013 0 0 0 16 8c0-4.42-3.58-8-8-8z"></path>
</svg>
class: ""
light_css_variables:
color-brand-primary: "#2196f3"
color-brand-content: "#2196f3"
color-admonition-background: "#f8f9fa"
dark_css_variables:
color-brand-primary: "#64b5f6"
color-brand-content: "#64b5f6"

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format: jb-book
root: index
parts:
- caption: Getting Started
chapters:
- file: quick_start
- caption: Core Concepts
chapters:
- file: memory_as_file
- file: framework
- caption: Memory
chapters:
- file: auto_memory
- file: auto_resource
- file: auto_dream
- file: auto_link
- caption: Retrieval & Proactive
chapters:
- file: memory_search
- file: proactive
- caption: Community
chapters:
- file: contributing

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# Auto Dream
```{note}
📖 The English version of this page is in progress.
In the meantime, please read the <a href="../zh/auto_dream.html">中文版本</a>.
```

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# Auto Link
```{note}
📖 The English version of this page is in progress.
In the meantime, please read the <a href="../zh/auto_link.html">中文版本</a>.
```

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# Auto Memory
```{note}
📖 The English version of this page is in progress.
In the meantime, please read the <a href="../zh/auto_memory.html">中文版本</a>.
```

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# Auto Resource
```{note}
📖 The English version of this page is in progress.
In the meantime, please read the <a href="../zh/auto_resource.html">中文版本</a>.
```

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# Contributing
```{note}
📖 The English version of this page is in progress.
In the meantime, please read the <a href="../zh/contributing.html">中文版本</a>.
```

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# Framework
```{note}
📖 The English version of this page is in progress.
In the meantime, please read the <a href="../zh/framework.html">中文版本</a>.
```

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# Overview
<p align="center"><em>Remember Me, Refine Me — a memory management toolkit for AI agents</em></p>
<p align="center">
<img src="../figure/design-philosophy.svg" alt="ReMe Design Philosophy" width="92%">
</p>
ReMe turns conversations and resources into **readable, editable, and searchable
file-based long-term memory**. Long-term memory no longer hides inside a black-box
database — it lives as Markdown files in a workspace directory that both users and
agents can read, write, move, and delete.
```{note}
English documentation is in progress. The pages below mirror the Chinese structure;
some currently link back to the complete <a href="../zh/index.html">中文文档</a>.
```
## ✨ Core Ideas
::::{grid} 1 1 2 2
:gutter: 3
:::{grid-item-card} 📄 Memory as File
Markdown files with frontmatter and wikilinks act as memory nodes that users and
agents can edit directly.
:::
:::{grid-item-card} 🌱 Self-evolving knowledge base
Auto Memory / Resource / Dream progressively distill conversations and resources into
long-term memory, weaving wikilink relationships automatically.
:::
:::{grid-item-card} 🔎 Progressive hybrid search
wikilinks + BM25 + embeddings combine keyword matching, semantic recall, and
relationship expansion.
:::
:::{grid-item-card} 🤝 Agent-friendly integration
`SKILL.md` + CLI integration lets different agents read, write, maintain, and reuse memory.
:::
::::
## 🔄 Memory Pipeline
ReMe's capabilities follow a **capture → consolidate → recall** pipeline:
- **Capture** — [Auto Memory](auto_memory.md) distills conversations into daily cards;
[Auto Resource](auto_resource.md) interprets resource files.
- **Consolidate** — [Auto Dream](auto_dream.md) extracts and integrates daily notes into
long-term `digest/`; [Auto Link](auto_link.md) weaves source and related wikilinks.
- **Recall** — [Memory Search](memory_search.md) does hybrid retrieval with link expansion;
[Proactive](proactive.md) surfaces "what's worth attention today".
The underlying file model and runtime are covered in
[Memory as File](memory_as_file.md) and [Framework](framework.md).
## 📚 Start Reading
::::{grid} 1 2 2 3
:gutter: 3
:::{grid-item-card} 🚀 Quick Start
:link: quick_start
:link-type: doc
Install, launch, and run your first write, index, and retrieval.
:::
:::{grid-item-card} 📄 Memory as File
:link: memory_as_file
:link-type: doc
The file-based memory model: layering, frontmatter, wikilinks, chunking.
:::
:::{grid-item-card} 🏗️ Framework
:link: framework
:link-type: doc
The Application / Service / Job / Step runtime and dependency injection.
:::
:::{grid-item-card} 🧠 Auto Memory
:link: auto_memory
:link-type: doc
How conversations become daily memory cards with preserved provenance.
:::
:::{grid-item-card} 🔎 Memory Search
:link: memory_search
:link-type: doc
Index building, hybrid recall, and progressive link expansion.
:::
:::{grid-item-card} ✨ Proactive
:link: proactive
:link-type: doc
Reading the day's interest topics to drive proactive reminders and insights.
:::
::::

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# Memory as File
```{note}
📖 The English version of this page is in progress.
In the meantime, please read the <a href="../zh/memory_as_file.html">中文版本</a>.
```

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# Memory Search
```{note}
📖 The English version of this page is in progress.
In the meantime, please read the <a href="../zh/memory_search.html">中文版本</a>.
```

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# Proactive
```{note}
📖 The English version of this page is in progress.
In the meantime, please read the <a href="../zh/proactive.html">中文版本</a>.
```

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# Quick Start
```{note}
📖 The English version of this page is in progress.
In the meantime, please read the <a href="../zh/quick_start.html">中文版本</a>.
```

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@ -0,0 +1,68 @@
# Jupyter Book settings — Chinese docs (built as a standalone book, served at /zh/).
# Learn more at https://jupyterbook.org/customize/config.html
project: "ReMe"
title: "<div style='text-align:center'>
<span style='font-weight:700;color:#2196f3;'>AgentScope</span><br>
<span style='font-weight:900;color:#ff5722;'>ReMe</span>
</div>"
author: Alibaba Tongyi Lab
logo: ../figure/reme_logo.png
copyright: "2025, Tongyi Lab, Alibaba Inc."
only_build_toc_files: true
execute:
execute_notebooks: off
parse:
myst_enable_extensions:
- colon_fence
- deflist
- attrs_inline
- dollarmath
sphinx:
extra_extensions:
- sphinx_design
- sphinxcontrib.mermaid
config:
# Render ```mermaid fences as diagrams; generate heading anchors for in-page links.
myst_fence_as_directive:
- mermaid
myst_heading_anchors: 4
# Theme
html_theme: furo
pygments_style: "friendly"
html_show_sphinx: false
html_last_updated_fmt: "%Y-%m-%d"
html_copy_source: false
html_show_sourcelink: false
# Shared assets live in docs/_static (custom.css + the language switcher).
html_static_path:
- "../_static"
html_css_files:
- custom.css
html_js_files:
- switcher.js
use_multitoc_numbering: false
html_theme_options:
sidebar_hide_name: false
source_repository: "https://github.com/agentscope-ai/ReMe"
source_branch: "main"
source_directory: "docs/zh/"
footer_icons:
- name: GitHub
url: "https://github.com/agentscope-ai/ReMe"
html: |
<svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 16 16">
<path fill-rule="evenodd" d="M8 0C3.58 0 0 3.58 0 8c0 3.54 2.29 6.53 5.47 7.59.4.07.55-.17.55-.38 0-.19-.01-.82-.01-1.49-2.01.37-2.53-.49-2.69-.94-.09-.23-.48-.94-.82-1.13-.28-.15-.68-.52-.01-.53.63-.01 1.08.58 1.23.82.72 1.21 1.87.87 2.33.66.07-.52.28-.87.51-1.07-1.78-.2-3.64-.89-3.64-3.95 0-.87.31-1.59.82-2.15-.08-.2-.36-1.02.08-2.12 0 0 .67-.21 2.2.82.64-.18 1.32-.27 2-.27.68 0 1.36.09 2 .27 1.53-1.04 2.2-.82 2.2-.82.44 1.1.16 1.92.08 2.12.51.56.82 1.27.82 2.15 0 3.07-1.87 3.75-3.65 3.95.29.25.54.73.54 1.48 0 1.07-.01 1.93-.01 2.2 0 .21.15.46.55.38A8.013 8.013 0 0 0 16 8c0-4.42-3.58-8-8-8z"></path>
</svg>
class: ""
light_css_variables:
color-brand-primary: "#2196f3"
color-brand-content: "#2196f3"
color-admonition-background: "#f8f9fa"
dark_css_variables:
color-brand-primary: "#64b5f6"
color-brand-content: "#64b5f6"

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@ -0,0 +1,24 @@
format: jb-book
root: index
parts:
- caption: 入门
chapters:
- file: quick_start
- caption: 核心概念
chapters:
- file: memory_as_file
- file: framework
- caption: 记忆
chapters:
- file: auto_memory
- file: auto_resource
- file: auto_dream
- file: auto_link
- caption: 检索与主动
chapters:
- file: memory_search
- file: proactive
- caption: 社区
chapters:
- file: contributing

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# 概览
<p align="center"><em>Remember Me, Refine Me —— 面向 AI Agent 的记忆管理工具箱</em></p>
<p align="center">
<img src="../figure/design-philosophy.svg" alt="ReMe 设计哲学" width="92%">
</p>
ReMe 把对话和资源转化为**可读、可写、可检索的文件化长期记忆**:长期记忆不再藏在黑盒数据库里,
而是落在 workspace 目录中的 Markdown 文件里,用户和 Agent 都能直接读写、移动、删除。
## ✨ 核心理念
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:::{grid-item-card} 📄 文件即记忆
Markdown 文件 + frontmatter + wikilink 作为记忆节点,用户和 Agent 都能直接编辑。
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:::{grid-item-card} 🌱 自进化知识库
Auto Memory / Resource / Dream 把对话与资源逐步沉淀为长期记忆,并自动织入 wikilink 关系。
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:::{grid-item-card} 🔎 渐进式混合检索
wikilink + BM25 + 向量召回,融合关键词匹配、语义召回与关系展开。
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:::{grid-item-card} 🤝 Agent 友好集成
`SKILL.md` + CLI 集成,让不同 Agent 都能读、写、维护和复用记忆。
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## 🔄 记忆流水线
ReMe 的能力沿一条 **写入 → 沉淀 → 读取** 的流水线组织:
- **写入** —— [Auto Memory](auto_memory.md) 把对话沉淀为 daily 卡片,
[Auto Resource](auto_resource.md) 解读资源文件。
- **沉淀** —— [Auto Dream](auto_dream.md) 把 daily 抽取整合为长期 `digest/`
[Auto Link](auto_link.md) 在此过程中织入来源与关联 wikilink。
- **读取** —— [Memory Search](memory_search.md) 做混合检索与链接展开,
[Proactive](proactive.md) 暴露“今天值得主动关注什么”。
底层的文件模型与运行时分别见 [Memory as File](memory_as_file.md) 与 [代码框架](framework.md)。
## 📚 开始阅读
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:::{grid-item-card} 🚀 快速开始
:link: quick_start
:link-type: doc
安装、启动,完成第一次写入、索引与检索。
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:::{grid-item-card} 📄 Memory as File
:link: memory_as_file
:link-type: doc
文件化记忆模型分层、frontmatter、wikilink、chunking。
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:::{grid-item-card} 🏗️ 代码框架
:link: framework
:link-type: doc
Application / Service / Job / Step 运行时与依赖注入。
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:::{grid-item-card} 🧠 Auto Memory
:link: auto_memory
:link-type: doc
对话如何沉淀为 daily 记忆卡片并保留出处。
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:::{grid-item-card} 🔎 Memory Search
:link: memory_search
:link-type: doc
索引构建、混合召回与渐进式链接展开。
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:::{grid-item-card} ✨ Proactive
:link: proactive
:link-type: doc
读取当天兴趣主题,驱动主动提醒与洞察。
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