reorproject/reor

• highreadme#1

  Strengthen the README's opening value proposition

  原因：

  当前

  <h4 align="center">Private & local AI personal knowledge management app.</h4>

  复制粘贴的修复

  复制

  Add the following sentence directly after the main H1 title: "Reor is a private & local AI personal knowledge management desktop app, offering AI-powered note-taking, semantic search, and Q&A on your local knowledge base with full data privacy."

  待办完成忽略
• mediumtopics#2

  Add more specific keywords to repository topics

  原因：

  当前

  ai, lancedb, llama, llamacpp, local-first, markdown, note-taking, ollama, pkm, rag, second-brain, vector-database

  复制粘贴的修复

  复制

  ai, lancedb, llama, llamacpp, local-first, markdown, note-taking, ollama, pkm, rag, second-brain, vector-database, desktop-app, personal-knowledge-base, knowledge-management-system

  待办完成忽略
• lowcomparison#3

  Add a 'Comparison' section to the README

  原因：

  复制粘贴的修复

  复制

  Add a new section to your README, for example, after the 'About' section, with content similar to: 
  
  ## Why Reor? (Compared to Obsidian, Logseq, and other PKM tools)
  
  While tools like Obsidian and Logseq offer powerful note-taking and linking, Reor's core differentiator is its **deeply integrated, local-first AI capabilities**. This means:
  
  - **True Privacy:** All your AI models (LLMs and embeddings) run locally on your machine, ensuring your data never leaves your device.
  - **AI-Powered Q&A:** Ask natural language questions directly to your entire knowledge base.
  - **Automatic Semantic Linking:** Discover connections between notes that traditional keyword linking might miss.
  - **Offline Functionality:** Full AI functionality without an internet connection.
  
  Reor provides an Obsidian-like markdown editor experience, but with AI as a fundamental, privacy-preserving layer.

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  How to build a personal knowledge base with local AI models for privacy?

  你：未被推荐
  AI 推荐顺序：

  1. Obsidian
  2. Text Generator Plugin
  3. Smart Connections Plugin
  4. Ollama
  5. LM Studio
  6. Logseq
  7. MemGPT
  8. LlamaIndex
  9. PrivateGPT
  10. llama.cpp

  AI 推荐了 10 个替代方案，却始终没点名 reorproject/reor。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  What are good desktop note-taking apps with local LLM-powered Q&A and semantic search?

  你：未被推荐
  AI 推荐顺序：

  1. Obsidian
  2. Logseq
  3. Anytype
  4. Mem.ai
  5. Joplin

  AI 推荐了 5 个替代方案，却始终没点名 reorproject/reor。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  pass

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of reorproject/reor?

  pass
  ✓AI 明确点名了 reorproject/reor

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts reorproject/reor in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 reorproject/reor

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo reorproject/reor solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 reorproject/reor

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？