RRepoGEO

REPOGEO REPORT · LITE

coleam00/mcp-mem0

Default branch main · commit 22fb7af0 · scanned 6/11/2026, 1:13:07 PM

GitHub: 676 stars · 234 forks

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 coleam00/mcp-mem0, 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

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

OVERALL DIRECTION
  • highreadme#1
    Reposition README's opening paragraph to disambiguate 'MCP'

    Why:

    CURRENT
    A template implementation of the Model Context Protocol (MCP) server integrated with Mem0 for providing AI agents with persistent memory capabilities.

Use this as a reference point to build your MCP servers yourself, or give this as an example to an AI coding assistant and tell it to follow this example for structure and code correctness!
    COPY-PASTE FIX
    This project implements the **Model Context Protocol (MCP)** for AI agents, providing long-term memory with Mem0. It is *not* related to Minecraft or the Minecraft Coder Pack.

Use this as a reference point to build your MCP servers yourself, or give this as an example to an AI coding assistant and tell it to follow this example for structure and code correctness!
  • mediumabout#2
    Clarify 'MCP' in the About description

    Why:

    CURRENT
    MCP server for long term agent memory with Mem0. Also useful as a template to get you started building your own MCP server with Python!
    COPY-PASTE FIX
    Model Context Protocol (MCP) server for long-term AI agent memory with Mem0. This project is *not* related to Minecraft. Also useful as a template to get you started building your own MCP server with Python!

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 coleam00/mcp-mem0
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Pinecone
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Pinecone · recommended 2×
  2. LlamaIndex · recommended 1×
  3. LangChain · recommended 1×
  4. Haystack · recommended 1×
  5. Faiss · recommended 1×
  • CATEGORY QUERY
    How can I implement persistent long-term memory for my AI agent applications?
    you: not recommended
    AI recommended (in order):
    1. Pinecone

    AI recommended 1 alternative but never named coleam00/mcp-mem0. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Python libraries for building an AI agent memory server with semantic search capabilities?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Haystack
    4. Faiss
    5. Sentence Transformers
    6. Weaviate
    7. Pinecone

    AI recommended 7 alternatives but never named coleam00/mcp-mem0. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    Suggestion:

  • 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 coleam00/mcp-mem0?
    pass
    AI did not name coleam00/mcp-mem0 — 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?

  • If a team adopts coleam00/mcp-mem0 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named coleam00/mcp-mem0 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 coleam00/mcp-mem0 solve, and who is the primary audience?
    pass
    AI named coleam00/mcp-mem0 explicitly

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

Embed your GEO score

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MARKDOWN (README)
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coleam00/mcp-mem0 — 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