RRepoGEO

REPOGEO REPORT · LITE

supermemoryai/supermemory-mcp

Default branch master · commit 84f5dc9f · scanned 5/22/2026, 3:27:46 PM

GitHub: 1,691 stars · 175 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface supermemoryai/supermemory-mcp, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • hightopics#1
    Add category-defining topics

    Why:

    CURRENT
    ["cloudflare", "mcp"]
    COPY-PASTE FIX
    ["llm-memory", "ai-memory", "universal-memory", "llm-orchestration", "personal-ai", "knowledge-management", "llm-agents", "memory-control-plane", "supermemory"]
  • highreadme#2
    Move core value proposition to the top of the README

    Why:

    CURRENT
    # 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.**
    COPY-PASTE FIX
    # 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
  • mediumreadme#3
    Clarify the project's status and relationship to the monorepo

    Why:

    CURRENT
    > [!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
    COPY-PASTE FIX
    > [!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.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface supermemoryai/supermemory-mcp
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 1×
  2. run-llama/llama_index · recommended 1×
  3. redis/redis · recommended 1×
  4. PostgreSQL · recommended 1×
  5. SQLite · recommended 1×
  • CATEGORY QUERY
    How can I transfer conversational memory between different large language models?
    you: not recommended
    AI recommended (in order):
    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 recommended 8 alternatives but never named supermemoryai/supermemory-mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a tool to unify personal context and knowledge across multiple AI assistants.
    you: not recommended
    AI recommended (in order):
    1. Mem
    2. Obsidian
    3. Notion
    4. Logseq (logseq/logseq)
    5. Personal AI
    6. Rome Research

    AI recommended 6 alternatives but never named supermemoryai/supermemory-mcp. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of supermemoryai/supermemory-mcp?
    pass
    AI named supermemoryai/supermemory-mcp explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts supermemoryai/supermemory-mcp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named supermemoryai/supermemory-mcp explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo supermemoryai/supermemory-mcp solve, and who is the primary audience?
    pass
    AI did not name supermemoryai/supermemory-mcp — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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supermemoryai/supermemory-mcp — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite