GongYuanCaiJi/dsh-obsidian-second-brain 预览 preview

GongYuanCaiJi/dsh-obsidian-second-brain

Plugin插件 Native原生 ⭐ 2 MIT Memory & Knowledge记忆与知识库

Obsidian第二大脑(移植自 obsidian-second-brain)

Project Overview项目介绍

This is a native plugin built exclusively for DeepSeek Harness (DSH), ported from the open source project eugeniughelbur/obsidian-second-brain. Its core function is to turn a user’s existing Obsidian vault into a self-maintaining AI second brain. It supports automatic updating and organizing of notes, automatic reconciliation of conflicting content, and structured storage of all entries. It also offers hybrid semantic search, dedicated research tools, and scheduled automatic maintenance. You can install it remotely via the official DSH plugin command, or clone it locally and install from source after running the included fidelity test.

It is intended for users who use Obsidian to manage personal knowledge and want AI assistance to maintain their vault. After installation, you can call the obsidian-second-brain skill directly in any DSH session, where it will appear in the list of available skills when the session starts. The skill will guide you based on your specific vault configuration, starting by reading any _CLAUDE.md file at the root of your vault, before performing any requested note operations. All 46 commands are kept verbatim from the upstream project, and you can trigger all functionality via matching slash commands.

This plugin is released under the open source MIT license, with dual copyright held by the original upstream author and the port author. If pnpm blocks the build step during installation, you just need to add this package to the allowBuilds list in your profile’s pnpm-workspace.yaml file. The research commands depend on an upstream Python toolkit that requires the uv package manager to be installed on your system. The first time you run a research command, you will get a clear on-screen prompt explaining any required setup. All upstream content is kept verbatim, and you can automatically verify port fidelity by running the included npm test command.

这是一个专为DeepSeek Harness(DSH)打造的原生插件,移植自开源项目eugeniughelbur/obsidian-second-brain,核心能力是将用户的Obsidian笔记库改造为可自动维护的AI第二大脑。它支持笔记自动整理更新、矛盾调和、结构化存储,还提供混合语义检索、研究工具和定时笔记维护功能,一共有46个覆盖完整第二大脑工作流的命令,涵盖记录、检索、研究、日常维护等场景。

适合使用Obsidian管理个人知识,同时需要AI辅助维护笔记库的用户使用。安装完成后,在DSH会话中即可调用obsidian-second-brain技能,技能会根据你的笔记库配置引导操作,先读取笔记库根目录的配置文件,再按需执行对应笔记操作,用户可以通过斜杠命令触发各类功能。

本插件采用MIT许可证开源,可通过DSH官方命令一键远程安装,也可从本地源码克隆安装。研究类命令依赖上游提供的Python工具包,需要预先安装uv工具;安装后首次使用研究命令会弹出提示说明,所有上游内容均逐字保留,可自动验证移植保真度。

Pre-install check安装前体检Compatibility · Security兼容性 · 安全性 1 warning1 项注意
  • Only 2 stars - very few users, little community feedback星标只有 2,几乎没人在用,遇到问题缺少社区反馈
DSH walks through these 9 checksDSH 会逐条核对这 9 项

Compatibility兼容性

  • DSH, Node, OS and profile requirementsDSH 版本 / Node 版本 / 操作系统 / profile 是否满足要求
  • External dependencies and runtimes (Electron / Python / Docker, ...)外部依赖与运行时(Electron / Python / Docker 等)是否齐备
  • Conflicts with installed plugins: command names, skill / tool names, ports, duplicate MCP registration与已装插件是否冲突:命令名、skill / tool 重名、端口占用、重复 MCP 注册

Security安全性

  • Repo matches the facts registered here; archived or abandoned?仓库是否与页面登记一致,是否归档或长期停更
  • Safety of preinstall / install / postinstall and install.sh / setup.ps1preinstall / install / postinstall 与 install.sh、setup.ps1 是否安全
  • curl|bash, download-then-execute, obfuscation, unrelated domains → stop immediatelycurl|bash、下载即执行、混淆代码、无关域名 → 立刻停止
  • Typosquatting or unmaintained packages among the new dependencies新增依赖里有没有 typosquatting 或无人维护的包
  • Requested permissions vs. what the feature actually needs申请了哪些权限、是否超出功能所需(filesystem / network / shell / clipboard)
  • Any sudo / admin requirement, plus uninstall and rollback是否要求 sudo / 管理员权限,以及卸载与回滚方式

Anything uncertain must be marked unknown with a note on how to confirm it. This site's signal screen is a static snapshot, not a security audit.拿不准的必须标「未知」并说明要我怎么确认。本站的信号筛查是静态快照,不能替代安全审计。

Or use CLI install (for developers)或使用命令行安装(适合开发者)

CLI Install命令行安装

dsh plugin --profile web add github:GongYuanCaiJi/dsh-obsidian-second-brain

把 GongYuanCaiJi/dsh-obsidian-second-brain 加入你的 DSH 配置(web profile)即可启用。

READMEREADME

dsh-obsidian-second-brain

简体中文 | English

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License DSH 移植自

一句话:把你的 Obsidian 笔记库变成会自我维护的第二大脑 —— 记下的东西会被重新整理、互相印证,过时的事实会被标出来,而不是越堆越乱。

移植自 eugeniughelbur/obsidian-second-brain(MIT), pin 上游 main HEAD 4d5b673(2026-08-08;上游自述版本 v0.14.0), 上游的 SKILL.md、46 个命令与全部脚本逐字保留,只适配了 DeepSeek Harness 的插件形态。

注意:上游内容为英文(命令触发词含多语言,含中文),按移植规则未做翻译 —— 这是上游原样。

✨ 功能

  • 🧠 自我重写的知识库 —— 新来源会更新既有页面而不是只追加;矛盾自动调和(Karpathy LLM Wiki 模式的演进)
  • 🗂️ 46 个命令 —— 记录、日记、项目、人物、任务、看板、决策、复盘、检索、健康检查,覆盖第二大脑的完整工作流(完整清单见下方折叠区)
  • 🔍 混合语义检索 —— 标题加权检索 + 检索质量自评(/obsidian-retrieval-eval)
  • 🌐 研究工具箱 —— 7 个命令:X / 网页 / YouTube / 播客 / NotebookLM 研究,结果自动存入笔记库
  • ⏰ 定时维护 —— 会话结束与后台 agent 自动整理笔记库
  • ✅ AI-first 写入规则 —— 每条笔记带结构化 frontmatter、wikilink、来源与置信度,面向未来 Claude 的检索而非人类阅读(规范见 AI-FIRST.md 与 references/ai-first-rules.md)
  • 🔗 类型化图谱 —— 笔记间的 supersedes / depends_on / contradicts 等关系可被脚本验证
全部 46 个命令
命令 用途
/obsidian-save 把对话整理成互相链接的 AI-first 笔记(人物/项目/决策/任务/看板/日记)
/obsidian-capture 零摩擦记下一个想法
/obsidian-daily 创建或更新今日日记
/obsidian-calendar 日历视图与日程
/obsidian-recurring 周期性任务
/obsidian-log 记录工作/开发会话
/obsidian-task 一次性任务
/obsidian-person 人物笔记
/obsidian-project / /obsidian-projects 项目笔记
/obsidian-board / /obsidian-board-hygiene 看板与看板清理
/obsidian-decide 决策记录(--formal 为正式 ADR)
/obsidian-reconcile 调和笔记库中的矛盾
/obsidian-synthesize 跨来源模式综合
/obsidian-find 检索笔记
/obsidian-recap / /obsidian-review 复盘 / 周月回顾
/obsidian-health 笔记库健康检查
/obsidian-reindex / /obsidian-retrieval-eval 检索索引与质量自评
/obsidian-export / /obsidian-visualize 导出 / 图谱可视化
/obsidian-init / /obsidian-architect 初始化 / 结构设计
/obsidian-ingest 摄入 URL/PDF/音频,笔记库自我重写
/obsidian-learn / /obsidian-emerge / /obsidian-graduate 学习 / 涌现模式 / 毕业归档
/obsidian-brainstorm / /obsidian-challenge 头脑风暴 / 挑战
/obsidian-connect / /obsidian-world 知识连接 / 世界观
/obsidian-panel / /obsidian-catchup / /obsidian-distill 面板 / 追赶 / 蒸馏
/x-read / /x-pulse X(Twitter)深度阅读 / 脉搏
/research / /research-deep / /vault-deep-synthesis 研究 / 深度研究 / 笔记库深度综合
/notebooklm / /youtube / /podcast NotebookLM / YouTube / 播客
/create-command / /idea-discovery 创建新命令 / 想法发现

Showing the opening section of the README — the full document lives in the repository以上为 README 开头摘要,完整文档在仓库内 · View the full README on GitHub →在 GitHub 查看完整 README →

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