supermemoryai/supermemory-mcp

• hightopics#1

  Add category-defining topics

  原因：

  当前

  ["cloudflare", "mcp"]

  复制粘贴的修复

  复制

  ["llm-memory", "ai-memory", "universal-memory", "llm-orchestration", "personal-ai", "knowledge-management", "llm-agents", "memory-control-plane", "supermemory"]

  待办完成忽略
• highreadme#2

  Move core value proposition to the top of the README

  原因：

  当前

  # Supermemory MCP - Universal Memory across LLMs
  
  > [!WARNING] 
  > MCP v1 is being deprecated. Please get the latest version from app.supermemory.ai.
  > While this repo is maintained and still active, the code for it will be maintained in this moonorepo here https://github.com/supermemoryai/supermemory/tree/main/apps/mcp
  
  [](https://www.producthunt.com/products/supermemory?embed=true&utm_source=badge-top-post-badge&utm_medium=badge&utm_source=badge-universal-memory-mcp)
  
  Click below for one click install with `.dxt`
  
  <a href="https://assets.supermemory.ai/mcp-dxt.dxt">
    
  </a>
  
  Read a detailed blog about it - https://supermemory.ai/blog/the-ux-and-technicalities-of-awesome-mcps 
  
  **Your memories are in ChatGPT... But nowhere else. Universal Memory MCP makes your memories available to every single LLM. No logins or paywall. One command to set it up.**

  复制粘贴的修复

  复制

  # Supermemory MCP - Universal Memory across LLMs
  
  **Your memories are in ChatGPT... But nowhere else. Universal Memory MCP makes your memories available to every single LLM. No logins or paywall. One command to set it up.**
  
  Which means you can carry your memories to any MCP client. and it just works!
  
  > [!WARNING] 
  > MCP v1 is being deprecated. Please get the latest version from app.supermemory.ai.
  > While this repo is maintained and still active, the code for it will be maintained in this moonorepo here https://github.com/supermemoryai/supermemory/tree/main/apps/mcp
  
  [](https://www.producthunt.com/products/supermemory?embed=true&utm_source=badge-top-post-badge&utm_medium=badge&utm_source=badge-universal-memory-mcp)
  
  Click below for one click install with `.dxt`
  
  <a href="https://assets.supermemory.ai/mcp-dxt.dxt">
    
  </a>
  
  Read a detailed blog about it - https://supermemory.ai/blog/the-ux-and-technicalities-of-awesome-mcps

  待办完成忽略
• mediumreadme#3

  Clarify the project's status and relationship to the monorepo

  原因：

  当前

  > [!WARNING] 
  > MCP v1 is being deprecated. Please get the latest version from app.supermemory.ai.
  > While this repo is maintained and still active, the code for it will be maintained in this moonorepo here https://github.com/supermemoryai/supermemory/tree/main/apps/mcp

  复制粘贴的修复

  复制

  > [!WARNING] 
  > **This repository hosts the original Supermemory MCP v1 client/server, which is being deprecated.** Please get the latest version and ongoing development from app.supermemory.ai or the main monorepo: https://github.com/supermemoryai/supermemory/tree/main/apps/mcp. This repo is maintained for existing v1 users but new features will not be added here.

  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 can I transfer conversational memory between different large language models?

  你：未被推荐
  AI 推荐顺序：

  1. LangChain (langchain-ai/langchain)
  2. LlamaIndex (run-llama/llama_index)
  3. Redis (redis/redis)
  4. PostgreSQL
  5. SQLite
  6. OpenAI's Chat Completions API (openai/openai-python)
  7. Anyscale Endpoints
  8. Together AI

  AI 推荐了 8 个替代方案，却始终没点名 supermemoryai/supermemory-mcp。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Seeking a tool to unify personal context and knowledge across multiple AI assistants.

  你：未被推荐
  AI 推荐顺序：

  1. Mem
  2. Obsidian
  3. Notion
  4. Logseq (logseq/logseq)
  5. Personal AI
  6. Rome Research

  AI 推荐了 6 个替代方案，却始终没点名 supermemoryai/supermemory-mcp。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 supermemoryai/supermemory-mcp?

  pass
  ✓AI 明确点名了 supermemoryai/supermemory-mcp

  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 supermemoryai/supermemory-mcp in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 supermemoryai/supermemory-mcp

  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 supermemoryai/supermemory-mcp solve, and who is the primary audience?

  pass
  ⚠AI 未点名 supermemoryai/supermemory-mcp —— 很可能在说另一个项目

  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？