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\r\n\r\n\"Stellavault\r\n\r\n**让 Claude 记住一切的本地优先第二大脑。**
\r\nKarpathy 的自编译 wiki × 卡片盒笔记法 — 完全本地、仓库非破坏、MCP 原生。\r\n\r\n[![MCP server](https://img.shields.io/badge/MCP-server-2761e8?logo=anthropic&logoColor=white)](#mcp-集成-21-个工具) [![npm](https://img.shields.io/npm/v/stellavault)](https://www.npmjs.com/package/stellavault) [![CI](https://github.com/Evanciel/stellavault/actions/workflows/ci.yml/badge.svg)](https://github.com/Evanciel/stellavault/actions/workflows/ci.yml) [![tests](https://img.shields.io/badge/tests-1200%2B%20passing-brightgreen)]() [![node](https://img.shields.io/badge/node-%E2%89%A520-339933?logo=node.js&logoColor=white)]() [![license](https://img.shields.io/badge/license-MIT-blue)](LICENSE)\r\n\r\n[English](README.md) · [한국어](README.ko.md) · [日本語](README.ja.md) · **简体中文**\r\n\r\n[**🤖 添加到 Claude / Cursor**](#mcp-集成-21-个工具) · [**⬇ 桌面应用**](https://github.com/Evanciel/stellavault/releases/tag/desktop-v0.3.0) · [**⚡ 快速开始**](#安装) · [**🌐 在线演示**](https://evanciel.github.io/stellavault/)\r\n\r\n
\r\n\r\n> **让 Claude 读取你的知识库的一条命令：**\r\n>\r\n> ```bash\r\n> npx -y stellavault setup # 将 MCP 服务器接入 Claude Code / Desktop、Cursor、Windsurf、VS Code\r\n> ```\r\n\r\n**一个会自我编译的第二大脑。** Stellavault 把两种关于\"知识应当如何存活、生长\"的思想融为一体：\r\n\r\n- 🧠 **Karpathy 的自编译 wiki** — 丢进任何东西(PDF、YouTube 链接、一闪而过的想法)，它都会被自动抽取进 `raw/`，再**编译**成概念与反向链接井然有序的 `_wiki/`。知识不会烂在文件夹里，而是随着积累不断自我重新编译。\r\n- 🕸️ **卡片盒笔记法(Zettelkasten)** — 原子化笔记、`[[wikilink]]` 与自发涌现的连接，让*一张思想之网*(而非文件夹树)成为你思考的真正骨架。\r\n\r\n二者被融合进一个本地优先的知识工具 — 功能完整的 Markdown 编辑器、3D 神经网络图谱、混合 AI 搜索，以及基于间隔重复(spaced repetition)的记忆衰减。而这一切都以 **桌面应用**、**CLI**、**Obsidian 插件**，以及**让 Claude 读取你整个仓库(vault)的 MCP 服务器**的形式提供。无需云端、无需 API 密钥，原始文件永不被修改。\r\n\r\n

\r\n \"3D\r\n
把你的仓库变成一张神经网络。本地优先，无需云端。\r\n

\r\n\r\n## 目录\r\n\r\n[亮点](#亮点) · [为什么选择 Stellavault?](#为什么选择-stellavault) · [安装](#安装) · [编辑器](#编辑器) · [流水线](#流水线) · [智能功能](#智能功能) · [搜索与排名](#搜索与排名) · [MCP 集成](#mcp-集成-21-个工具) · [3D 可视化](#3d-可视化) · [配置](#配置) · [性能](#性能) · [技术栈](#技术栈) · [安全](#安全) · [故障排查](#故障排查)\r\n\r\n## 亮点\r\n\r\n- 🧠 **它会自我编译。** PDF、YouTube 链接、半成形的想法 — 丢进任何东西，它都会抽取进 `raw/`，再*编译*成概念与反向链接井然有序的 `_wiki/`。随积累自我整理的知识。\r\n- 🔍 **真正能找到的搜索。** 用**加权 RRF** 融合语义、精确关键词(BM25)以及你自己的 `[[wikilink]]` / `#标签`，再用 FSRS 记忆模型重排序，把你*正在用*的笔记顶上来。50+ 种语言、完全本地、零 API 密钥。\r\n- 🌌 **把你的思维变成 3D。** 实时神经网络图谱(React Three Fiber)— 可按文件夹下钻的聚类视图、逐笔记局部图、标签叠加层,以及让*你亲手写的*维基链接与 AI 相似度一眼可辨的双层边。可承载 1.7 万条笔记的完整仓库。一种*看见*自己所知形状的方式。\r\n- 🤖 **Claude 读取你的整个仓库。** 一流的 **MCP 服务器**(21 个工具): 在 Claude Code、Claude Desktop、Cursor、Windsurf、VS Code 中直接搜索、问答、起草、检查与分析。\r\n- ⏳ **它绝不*悄悄*遗忘。** FSRS 记忆衰减把你即将失去的真实笔记顶上来，还能检测整个仓库的知识缺口、矛盾与重复。\r\n- 🔒 **本地优先。仓库非破坏。零密钥。** 本地嵌入 + 设备端向量存储，原始文件**永不被修改**。除非你主动选择，任何数据都不会离开你的机器。\r\n\r\n## 为什么选择 Stellavault\r\n\r\n大多数工具逼你在*写作*、*搜索*、*记忆*之间三选一。Stellavault 三者兼得 — 在本地，并以 Claude 能读取的方式。\r\n\r\n| | **Stellavault** | Obsidian | Notion | 自写 RAG |\r\n|---|:---:|:---:|:---:|:---:|\r\n| 本地优先、离线可用 | ✅ | ✅ | ☁️ 云端 | ⚠️ 通常云端 |\r\n| 无需 API 密钥的语义搜索 | ✅ | ⚠️ 插件+密钥 | 💰 付费 AI | ⚠️ 需密钥 |\r\n| 原始文件永不修改 | ✅ | ✅ | ❌ 专有格式 | ➖ |\r\n| 自编译(摄取 → wiki) | ✅ | ❌ | ❌ | ❌ |\r\n| 3D 知识图谱 | ✅ | 2D / 插件 | ❌ | ❌ |\r\n| 间隔重复衰减(FSRS) | ✅ | ⚠️ 插件 | ❌ | ❌ |\r\n| 缺口 / 矛盾 / 重复检测 | ✅ | ❌ | ❌ | ❌ |\r\n| MCP 原生(Claude 读取你的仓库) | ✅ | ➖ 社区 | ☁️ 云端 | ➖ |\r\n\r\n> [!NOTE]\r\n> 并非二选一 — Stellavault 甚至能**在 Obsidian 内**以[插件](https://github.com/Evanciel/stellavault-obsidian)形式运行。留住你的编辑器，加一个大脑。\r\n\r\n## 安装\r\n\r\n### 桌面应用 (推荐 — 一键搞定)\r\n\r\n\r\n \r\n \r\n \r\n \r\n \r\n

⬇ 下载 Windows 版
x64 · 273 MB · ZIP
⬇ 下载 Linux 版
x64 · 243 MB · ZIP
macOS
即将推出
\r\n\r\n> [!TIP]\r\n> 下载 → 解压 → 运行 `stellavault.exe`(Windows) 或 `stellavault`(Linux) → 选择笔记文件夹 → 完成。\r\n\r\n### CLI (面向开发者)\r\n\r\n```bash\r\nnpm install -g stellavault # 或: npx stellavault\r\nstellavault init # 交互式配置 (3 分钟): 索引仓库 + 连接 AI 客户端\r\nstellavault setup # 连接 Claude Code/Desktop、Cursor、Windsurf、VS Code (一条命令)\r\nstellavault graph # 在浏览器中启动 3D 图谱\r\n```\r\n\r\n> 需要 Node.js 20+。遇到问题请运行 `stellavault doctor` 进行诊断。\r\n\r\n### Obsidian 插件\r\n\r\n1. 从 [stellavault-obsidian releases](https://github.com/Evanciel/stellavault-obsidian/releases/latest) 下载 `main.js` + `manifest.json` + `styles.css`\r\n2. 放入 `.obsidian/plugins/stellavault/`\r\n3. 在 设置 → 社区插件 中启用\r\n4. 在仓库文件夹启动 API: `npx stellavault graph`\r\n\r\n---\r\n\r\n## 编辑器\r\n\r\n功能完整的 Markdown 编辑器 — 可与 Obsidian 媲美。\r\n\r\n
\r\n完整的格式与块支持 — 表格、代码、KaTeX、斜杠命令、wikilink、分屏… (点击展开)\r\n\r\n
\r\n\r\n| 功能 | 状态 |\r\n|---------|--------|\r\n| 加粗、斜体、下划线、删除线 | ✅ |\r\n| 标题 1–6 级 | ✅ |\r\n| 无序、有序、任务列表 (嵌套复选框) | ✅ |\r\n| 表格 (创建、调整列宽、增删行列) | ✅ |\r\n| 带语法高亮的代码块 (40+ 语言) | ✅ |\r\n| 图片 (URL、剪贴板粘贴、拖放) | ✅ |\r\n| KaTeX 数学渲染 (`$E=mc^2$` 行内, `$$...$$` 独立) | ✅ |\r\n| `/斜杠命令` (12 种块, 模糊搜索) | ✅ |\r\n| `[[wikilink]]` 自动补全 | ✅ |\r\n| 分屏视图 (垂直 + 水平, Ctrl+\\\\) | ✅ |\r\n| 文本对齐 (左 / 中 / 右) | ✅ |\r\n| 高亮、上标、下标 | ✅ |\r\n| 智能排版 (弯引号、em/en 破折号) | ✅ |\r\n| 水平分隔线 | ✅ |\r\n\r\n
\r\n\r\n---\r\n\r\n## 流水线\r\n\r\n```\r\n捕获 ──→ 整理 ──→ 提炼 ──→ 表达\r\n(Capture ──→ Organize ──→ Distill ──→ Express)\r\n\r\n丢进任何东西 → 自动抽取 → raw/ → 编译 → _wiki/ → 草稿\r\n```\r\n\r\n灵感来自 Karpathy 的自编译知识架构。\r\n\r\n### 摄取(Ingest) 14 种格式\r\n\r\n| 输入 | 方式 |\r\n|-------|-----|\r\n| PDF, DOCX, PPTX, XLSX | `stellavault ingest report.pdf` |\r\n| JSON, CSV, XML, YAML, HTML, RTF | `stellavault ingest data.json` |\r\n| YouTube | `stellavault ingest https://youtu.be/...` — 字幕 + 时间戳 |\r\n| URL | `stellavault ingest https://...` — HTML → Markdown |\r\n| 文本 | `stellavault ingest \"一闪而过的想法\"` |\r\n| 文件夹 | `stellavault ingest ./papers/` — 批量处理所有文件 |\r\n| 桌面 / Web UI | 直接拖放文件 |\r\n\r\n### 表达(Express): 把知识取出来\r\n\r\n```bash\r\nstellavault draft \"AI\" --format blog # 基于仓库的博客文章\r\nstellavault draft \"AI\" --format outline # 结构化大纲\r\nstellavault draft \"AI\" --ai # Claude API 增强 ($0.03)\r\n```\r\n\r\n或使用桌面应用的 **Express 标签页** — 输入主题、选择格式，即可生成一篇以你的仓库为依据的草稿。保存到 `_drafts/` 并行内编辑。\r\n\r\n---\r\n\r\n## 智能功能\r\n\r\n> 这些功能在 Obsidian 中 **并不存在** — 即使装了插件也没有。\r\n\r\n| 功能 | 命令 / 桌面 | 说明 |\r\n|---------|-------------------|-------------|\r\n| **记忆衰减(Memory Decay)** | `stellavault decay` / Memory 标签页 | 基于 FSRS — 显示你正在遗忘的真实笔记 |\r\n| **知识缺口(Knowledge Gaps)** | `stellavault gaps` | 检测主题簇之间的薄弱连接 |\r\n| **矛盾(Contradictions)** | `stellavault contradictions` | 发现仓库中互相冲突的表述 |\r\n| **重复(Duplicates)** | `stellavault duplicates` | 带相似度分数的近似重复笔记 |\r\n| **健康检查(Health Check)** | `stellavault lint` | 汇总的仓库健康分 (0–100) |\r\n| **学习路径(Learning Path)** | `stellavault learn` | AI 个性化复习推荐 |\r\n| **每日简报** | 桌面应用主屏 | 推送式: 打开应用即显示衰减最严重的笔记 + 统计 |\r\n| **自动打标签** | 摄取时自动 | 基于内容的关键词抽取 + 分类规则 |\r\n| **自编译** | `stellavault compile` | raw/ → _wiki/，自动抽取概念 + 反向链接 |\r\n\r\n---\r\n\r\n## 搜索与排名\r\n\r\n用 **加权 RRF(Reciprocal Rank Fusion)** 融合多种信号的混合检索 — 专为个人知识仓库调优，完全本地，零 API 密钥:\r\n\r\n| 信号 | 捕捉什么 | 默认权重 |\r\n|--------|------------------|---------------:|\r\n| **语义**(dense) | 含义; 多语言 (50+ 种语言) | `1.0` |\r\n| **BM25**(关键词) | 精确词项、代码、名称 | `1.0` |\r\n| **实体链接** | 你的 `[[wikilink]]`、`#标签`、标题、小标题 — 经过精选的图谱 | `1.5` |\r\n| **FSRS 时新性** | 温和地浮现你正在使用 / 正在遗忘的笔记 | `±10%` |\r\n\r\n- **实体匹配** 通过模糊子串 + 标点归一化匹配来解析自然语言查询(对韩语 / CJK 友好)。并配有 **单文档多样性上限(per-document diversity cap)**，防止某一篇大笔记霸占搜索结果顶部。\r\n- **时新性** 复用与衰减引擎相同的 FSRS 记忆模型(而非简单的文件修改时间 mtime)— 正在遗忘的笔记会重新浮现，而已掌握的常青笔记不会仅因为\"旧\"就被埋没。\r\n- **自适应重排序**(长时间运行的 MCP 服务器)还会根据你当前的会话上下文(最近的标签 / 路径)进一步提升结果。\r\n- 每个权重都可按仓库或通过环境变量 **调优** — 参见 [配置](#配置)。\r\n\r\n---\r\n\r\n## MCP 集成 (21 个工具)\r\n\r\n```bash\r\nstellavault setup # 一条命令 → Claude Code、Claude Desktop、Cursor、Windsurf、VS Code\r\n# 或仅连接 Claude Code:\r\nclaude mcp add stellavault -- stellavault serve\r\n```\r\n\r\n
\r\n手动配置 (任意 MCP 客户端) — 复制粘贴 JSON\r\n\r\n```json\r\n{\r\n \"mcpServers\": {\r\n \"stellavault\": {\r\n \"command\": \"npx\",\r\n \"args\": [\"-y\", \"stellavault\", \"serve\"]\r\n }\r\n }\r\n}\r\n```\r\n\r\n已在 [MCP 注册表](https://registry.modelcontextprotocol.io) 注册为 `io.github.Evanciel/stellavault`(也可在 Glama、Smithery、mcp.so 中发现)。\r\n
\r\n\r\nClaude 可以直接搜索、问答、起草、检查并分析你的仓库。搜索会运行完整的混合流水线 — 对 语义 + BM25 + 实体链接 进行 **加权 RRF**，再加上 **FSRS 时新性** 和会话自适应重排序(详见 [搜索与排名](#搜索与排名))。\r\n\r\n| 工具 | 作用 |\r\n|------|-------------|\r\n| `search` | 加权 RRF (语义 + BM25 + 实体) + FSRS 时新性 + 自适应重排序 |\r\n| `ask` | 基于仓库依据的问答 |\r\n| `generate-draft` | 用你的知识生成 AI 草稿 |\r\n| `get-decay-status` | 记忆衰减报告 (FSRS) |\r\n| `detect-gaps` | 知识缺口分析 |\r\n| `create-knowledge-node` | AI 创建 wiki 级别的笔记 |\r\n| `federated-search` | 跨多个仓库的 P2P 搜索 |\r\n| + 另外 14 个 | 文档、主题、决策、快照、导出 |\r\n\r\n---\r\n\r\n## 3D 可视化\r\n\r\n- 带聚类着色的神经网络图谱 (React Three Fiber)\r\n- 星座视图 (MST 星形图案)\r\n- 热力图叠加 + 时间轴滑块 + 衰减叠加\r\n- 多元宇宙视图 — 你的仓库化作 P2P 网络中的一颗宇宙\r\n- 深色/浅色主题\r\n\r\n\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n
\"热力图叠加\"
热力图 — 各聚类间的连接密度		\"时间轴滑块\"
时间轴 — 按时间观看仓库的生长
\"语义搜索高亮\"
搜索 — 在图谱中高亮语义匹配		\"多元宇宙
多元宇宙 — 化作环绕轨道的宇宙的联邦仓库
\r\n\r\n---\r\n\r\n## 立即体验 (演示仓库)\r\n\r\n```bash\r\nnpx stellavault index --vault ./examples/demo-vault # 索引 10 篇示例笔记\r\nnpx stellavault search \"vector database\" # 语义搜索\r\nnpx stellavault graph # 3D 图谱可视化\r\n```\r\n\r\n演示仓库包含关于 Vector Database、Knowledge Graph、Spaced Repetition、RAG、MCP 等互相关联的笔记 — 非常适合即刻体验所有功能。\r\n\r\n---\r\n\r\n## 入门指南\r\n\r\n### 桌面应用\r\n\r\n1. **下载** → 解压 → 运行\r\n2. 首次启动会让你选择笔记文件夹\r\n3. 笔记出现在侧边栏 — 点击即可打开\r\n4. 按 `Ctrl+P` 快速切换文件\r\n5. 点击标题栏的 ✦ 打开 AI 面板 (语义搜索、统计、草稿)\r\n6. 点击 ◉ 查看 3D 图谱\r\n\r\n### CLI\r\n\r\n```bash\r\nnpm install -g stellavault\r\nstellavault init # 配置向导\r\nstellavault search \"machine learning\" # 语义搜索\r\nstellavault ingest paper.pdf # 添加知识\r\nstellavault graph # 浏览器中的 3D 图谱\r\nstellavault brief # 早间简报\r\nstellavault decay # 你正在遗忘什么?\r\n```\r\n\r\n### 键盘快捷键 (桌面)\r\n\r\n| 快捷键 | 操作 |\r\n|----------|--------|\r\n| `Ctrl+P` | 快速切换器 (模糊文件搜索) |\r\n| `Ctrl+Shift+P` | 命令面板 (所有操作) |\r\n| `Ctrl+S` | 保存当前笔记 |\r\n| `Ctrl+\\` | 切换分屏视图 |\r\n| `Ctrl+B` | 加粗 |\r\n| `Ctrl+I` | 斜体 |\r\n| `Ctrl+U` | 下划线 |\r\n| `Ctrl+E` | 行内代码 |\r\n| `/` | 斜杠命令 (在行首) |\r\n| `[[` | wikilink 自动补全 |\r\n\r\n### 快速参考\r\n\r\n| 操作 | 桌面 | CLI |\r\n|--------|---------|-----|\r\n| 搜索笔记 | Ctrl+P 或 AI 面板 | `stellavault search \"query\"` |\r\n| 添加笔记 | + Note 按钮 或 拖放 | `stellavault ingest \"text\"` |\r\n| 查看 3D 图谱 | ◉ 按钮 | `stellavault graph` |\r\n| 记忆衰减 | AI 面板 → Memory | `stellavault decay` |\r\n| 生成草稿 | AI 面板 → Draft | `stellavault draft \"topic\"` |\r\n| 健康检查 | AI 面板 → Stats | `stellavault lint` |\r\n\r\n---\r\n\r\n## 配置\r\n\r\nStellavault 会读取 `./.stellavault.json`(或 `~/.stellavault.json`)。搜索排名完全可调，开箱即用的默认值就很合理:\r\n\r\n```jsonc\r\n{\r\n \"search\": {\r\n \"rrfK\": 60,\r\n \"weights\": { \"semantic\": 1.0, \"bm25\": 1.0, \"entity\": 1.5 },\r\n \"recencyWeight\": 0.2, // FSRS 时新性强度; 0 = 关闭\r\n \"entityAliases\": { \"k8s\": [\"kubernetes\"] } // 同义词 / 跨语言分组 (仅精确匹配)\r\n }\r\n}\r\n```\r\n\r\n环境变量会覆盖配置 (带防护解析):\r\n\r\n| 环境变量 | 作用 |\r\n|---------|--------|\r\n| `STELLAVAULT_W_SEMANTIC` / `_BM25` / `_ENTITY` | 各信号的 RRF 权重 (例如 `STELLAVAULT_W_ENTITY=2.0` 让实体更激进地浮现) |\r\n| `STELLAVAULT_RECENCY_WEIGHT` | 时新性强度 `0`–`1` (`0` 表示禁用) |\r\n| `STELLAVAULT_DB_PATH` | 覆盖索引数据库位置 |\r\n| `STELLAVAULT_WATCH` | 设为 `0` 可在 `serve` 运行期间禁用自动重建索引的文件监视器 |\r\n\r\n> 注: 跨语言召回(例如用中文查询找到英文笔记)由多语言嵌入模型自动处理 — `entityAliases` 是针对精选实体图谱(标签 / wikilink)和缩写的可选精度增强。\r\n\r\n---\r\n\r\n## 性能\r\n\r\n在合成仓库上测试 — 典型场景下所有操作均在 1 秒以内:\r\n\r\n| 操作 | 100 文档 | 500 文档 | 1000 文档 |\r\n|-----------|----------|----------|-----------|\r\n| 存储初始化 | 15ms | 15ms | 16ms |\r\n| 批量 upsert | 12ms | 102ms | ~200ms |\r\n| 搜索 (BM25) | <1ms | <1ms | <1ms |\r\n| 获取全部文档 | <1ms | 2ms | ~4ms |\r\n| 124K 次点积 | — | 36ms | — |\r\n\r\n运行你自己的基准测试:\r\n\r\n```bash\r\nnode tests/stress.mjs 500 # 用 500 篇合成文档测试\r\n```\r\n\r\n关键优化:\r\n- **HNSW 图构建** — 对 200+ 文档使用 sqlite-vec KNN (O(n·K·log n) vs O(n²))\r\n- 预归一化向量: 余弦相似度 → 单次点积\r\n- 批量加载嵌入 (每批 500，防止内存溢出)\r\n- 小仓库(< 200 文档)使用上三角暴力计算\r\n- 用类型化数组实现 O(n) 的 K-Means 质心更新\r\n\r\n---\r\n\r\n## 技术栈\r\n\r\n| 层 | 技术 |\r\n|-------|------|\r\n| 桌面 | Electron + React + TipTap (15 个扩展) + Zustand |\r\n| 运行时 | Node.js 20+ (ESM, TypeScript) |\r\n| 向量存储 | SQLite-vec (本地, 零配置) |\r\n| 嵌入 | MiniLM-L12-v2 (本地, 50+ 种语言, 批处理) |\r\n| 搜索 | 加权 RRF (语义 + BM25 + 实体) + FSRS 时新性 |\r\n| 数学 | KaTeX (行内 + 独立) |\r\n| 代码 | lowlight / highlight.js (40+ 语言) |\r\n| 3D | React Three Fiber + Three.js |\r\n| AI | MCP (21 个工具) + Anthropic SDK |\r\n| P2P | Hyperswarm (可选, 差分隐私) |\r\n| CI | GitHub Actions (Node 20 + 22) |\r\n\r\n---\r\n\r\n## 安全\r\n\r\n- **本地优先** — 除非你使用 `--ai`，否则数据不会离开你的机器\r\n- **仓库文件永不修改** — 只索引进 SQLite，原文件保持原样\r\n- **启用 Electron 沙箱** — 渲染进程以受限的操作系统权限运行\r\n- **IPC 路径校验** — 所有文件操作都限制在仓库根目录内\r\n- **API 认证令牌** — 每会话、仅请求头(`X-Stellavault-Token`)。令牌端点仅限同源(same-origin)\r\n- **CORS 白名单** — 默认仅 `localhost` / `127.0.0.1`; MCP HTTP 传输需显式启用\r\n- **SSRF 防护** — 摄取 URL 时屏蔽内网 IP\r\n- **端到端加密** — 云同步采用 AES-256-GCM\r\n\r\n### 联邦 (实验性, 默认关闭)\r\n\r\nP2P 语义搜索作为 **可选的实验性功能** 提供。默认安装 **不会** 加入任何 swarm，也绝不分享数据。\r\n\r\n显式启用:\r\n\r\n```bash\r\n# PowerShell\r\n$env:STELLAVAULT_FEDERATION_EXPERIMENTAL = \"1\"\r\n\r\n# bash / zsh\r\nexport STELLAVAULT_FEDERATION_EXPERIMENTAL=1\r\n\r\nstellavault federate join\r\n```\r\n\r\n启用后，联邦使用 Ed25519 身份与签名信封(signed envelope)、双向质询-应答握手、每信封重放随机数(nonce)、握手超时、按节点限速，以及\"仅接收\"的分享默认值(`myNodeLevel=0`)。要真正与对等节点分享标题/摘要，请在联邦提示符中运行 `set-level 1+`。\r\n\r\n> [!WARNING]\r\n> **升级提示 (v0.7.4)** — 联邦传输格式从 v2.0 升级到 v2.1(信封级 nonce)。v0.7.3 的联邦节点不兼容。现有的 `~/.stellavault/federation/sharing.json` **不会** 自动降级为更安全的默认值；若你此前曾选择加入，请复查你的 `myNodeLevel`。\r\n\r\n完整细节见 [SECURITY.md](SECURITY.md)。\r\n\r\n## 故障排查\r\n\r\n```bash\r\nstellavault doctor # 检查配置、仓库、数据库、模型、Node 版本\r\n```\r\n\r\n常见问题:\r\n- **\"Command not found\"** → `npm i -g stellavault@latest`\r\n- **\"API server not found\"** → `npx stellavault graph`\r\n- **图谱为空** → `stellavault index`\r\n- **首次运行很慢** → AI 模型首次需下载约 30MB\r\n\r\n## 参与贡献\r\n\r\n欢迎提交 Issue 和 Pull Request。请参阅 [CONTRIBUTING.md](CONTRIBUTING.md) 开始，并通过 [SECURITY.md](SECURITY.md) 负责任地报告漏洞。\r\n\r\n## 许可证\r\n\r\nMIT — 全部源代码可供审计。\r\n\r\n## 链接\r\n\r\n- **[⬇ 下载桌面应用](https://github.com/Evanciel/stellavault/releases/tag/desktop-v0.3.0)**\r\n- [着陆页](https://evanciel.github.io/stellavault/)\r\n- [Obsidian 插件](https://github.com/Evanciel/stellavault-obsidian)\r\n- [npm](https://www.npmjs.com/package/stellavault)\r\n- [GitHub Releases](https://github.com/Evanciel/stellavault/releases)\r\n- [安全策略](SECURITY.md)\r\n\r\n---\r\n\r\n
\r\n\r\n**觉得有用?** ⭐ [**给 Stellavault 点星**](https://github.com/Evanciel/stellavault) — 这能实实在在帮助项目触达更多以连接方式思考的人。\r\n\r\n为构建第二大脑的人们，以 ✦ 打造。 · 下载 · 连接 Claude · 报告问题\r\n\r\n
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