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
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.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
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.
- hightopics#1Add 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#2Move 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#3Clarify 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.
- langchain-ai/langchain · recommended 1×
- run-llama/llama_index · recommended 1×
- redis/redis · recommended 1×
- PostgreSQL · recommended 1×
- SQLite · recommended 1×
- CATEGORY QUERYHow can I transfer conversational memory between different large language models?you: not recommendedAI recommended (in order):
- LangChain (langchain-ai/langchain)
- LlamaIndex (run-llama/llama_index)
- Redis (redis/redis)
- PostgreSQL
- SQLite
- OpenAI's Chat Completions API (openai/openai-python)
- Anyscale Endpoints
- Together AI
AI recommended 8 alternatives but never named supermemoryai/supermemory-mcp. This is the gap to close.
Show full AI answer
- CATEGORY QUERYSeeking a tool to unify personal context and knowledge across multiple AI assistants.you: not recommendedAI recommended (in order):
- Mem
- Obsidian
- Notion
- Logseq (logseq/logseq)
- Personal AI
- 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 completenesspass
- README presencepass
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?passAI 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?passAI 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?passAI 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.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite