--- title: "Logseq - 工具配置与选型 - AI·外脑 | 思行致远" canonical: "https://siyuanailab.com/knowledge/toolkits/logseq/" dateModified: "2026-07-08" datePublished: "2026-07-08" --- 打开 AI·外脑目录 AI·外脑 [返回专栏首页](https://siyuanailab.com/knowledge/) × 站内搜索 ⌕ 主要栏目 - [AI 核心概念](https://siyuanailab.com/knowledge/ai-core/) - [工作流](https://siyuanailab.com/knowledge/workflows/) - [工具配置与选型](https://siyuanailab.com/knowledge/toolkits/) - [信源与标准](https://siyuanailab.com/knowledge/sources/) - [场景案例 待开发](https://siyuanailab.com/knowledge/scenarios/) - [职业与能力](https://siyuanailab.com/knowledge/career/) 专题 - [从这里开始](https://siyuanailab.com/knowledge/start/) - [获取与安装](https://siyuanailab.com/knowledge/install/) - [建设日志](https://siyuanailab.com/knowledge/ops/) [工具配置与选型子目录](https://siyuanailab.com/knowledge/toolkits/) llm-image（8） - [Adobe Firefly](https://siyuanailab.com/knowledge/toolkits/adobe-firefly/) - [通义万相](https://siyuanailab.com/knowledge/toolkits/aliyun-wanxiang-image/) - [字节即梦 AI](https://siyuanailab.com/knowledge/toolkits/bytedance-jimeng/) - 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[Perplexity](https://siyuanailab.com/knowledge/toolkits/perplexity/) agent-open-source（2） - [CrewAI](https://siyuanailab.com/knowledge/toolkits/crewai/) - [LangChain / LangGraph](https://siyuanailab.com/knowledge/toolkits/langchain-langgraph/) hardware-wearable（3） - [Ray-Ban Meta AI Glasses](https://siyuanailab.com/knowledge/toolkits/ray-ban-meta-glasses/) - [XREAL One Pro](https://siyuanailab.com/knowledge/toolkits/xreal-one-pro/) - [Apple Vision Pro](https://siyuanailab.com/knowledge/toolkits/apple-vision-pro/) 工具配置与选型 · 入门 # Logseq 杨思远 / 思行致远 · 2026/7/8 · 置信度：高 知识库软件本地端大纲双链开源 大纲式、双链、本地优先的笔记工具，适合日记、块引用和非线性思考。 # Logseq > 大纲式、双链、本地优先的笔记工具，适合日记、块引用和非线性思考。 --- ## 一、是什么 Logseq 是一个开源的本地优先笔记工具，采用大纲式编辑器，支持双链、块引用、日记和查询。每个块都有唯一 ID，可以像卡片一样被引用。 ## 二、为什么重要 对于习惯用大纲拆解思考、重视每日记录和块级别引用的用户，Logseq 提供了比传统文档更灵活的思维方式。 ## 三、核心机制 / 关键信息 - **官方名称**：Logseq - **官网**：[https://logseq.com](https://logseq.com/) - **GitHub**：[https://github.com/logseq/logseq](https://github.com/logseq/logseq) - **RSS / 动态**：[https://discuss.logseq.com/c/announcements/7](https://discuss.logseq.com/c/announcements/7) - **当前主要版本 / 模型矩阵**：桌面版、移动版；Logseq DB 开发中 - **国内可用性**：直连可用；开源本地应用可下载使用 - **定价模式**：开源免费；同步/协作等云能力按官方后续服务策略 ## 四、典型用法（0→1→2→3） - **Step 0：创建 Graph**：一个 Graph 对应一个知识库。 - **Step 1：写日记和大纲笔记**：用 `*` 层级组织思考。 - **Step 2：用块引用建立联系**：把某条笔记引用到另一个页面。 - **Step 3：用查询视图汇总**：如“本周所有关于 AI 的思考”。 ## 五、常见误区与替代方案 - **误区**：Logseq 和 Obsidian 只能二选一。两者可以配合使用。 - **误区**：大纲式编辑适合所有人。长文写作可能不如文档式编辑器舒适。 - **替代方案**：需要文档式编辑和图谱时对比 Obsidian；需要云端协作时对比 Notion。 ## 六、延伸阅读 / 相关卡片 - [[Obsidian]] - [[Notion]] - [Logseq GitHub](https://github.com/logseq/logseq) --- ## 使用提示（AI 引用块） - **适用场景**：日记、大纲笔记、块引用、非线性思考、个人知识管理。 - **不适用场景**：长文档写作、强团队协作、复杂表格和数据库。 - **常见错误**：块引用过多导致知识结构碎片化，难以整体回顾。 --- *这张卡片由杨思远基于真实工作流和实测经验整理。如发现信息过时或有误，可通过 /contact 反馈。* ### 适用场景与行动 **场景：**喜欢用大纲方式组织思考，重视日记和块引用 **适合谁：**写作者、研究者、喜欢非线性笔记的用户 **下一步：**下载 Logseq，创建日记页，用块引用把一条笔记关联到另一个页面。 ### 相关卡片 - Obsidian - Notion - 飞书知识库 这张卡片由杨思远基于真实工作流和实测经验整理。 如发现信息过时或有误，可通过 [/contact](https://siyuanailab.com/contact) 反馈。 [← 上一张：可灵 AI 视频](https://siyuanailab.com/knowledge/toolkits/kling-ai-video/) [下一张：秘塔 AI 搜索 →](https://siyuanailab.com/knowledge/toolkits/metaso/) [返回 AI·外脑入口](https://siyuanailab.com/knowledge/)