RRepoGEO

REPOGEO REPORT · LITE

memodb-io/memobase

Default branch main · commit 358c16bb · scanned 5/14/2026, 4:28:00 PM

GitHub: 2,721 stars · 211 forks

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 memodb-io/memobase, 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
  • mediumtopics#1
    Add more specific LLM memory and user profile-related topics.

    Why:

    CURRENT
    ai-companion, ai-memory, chatgpt, llm-application, llm-memory, long-term-memory, memory, rag, retrieval, user-memory
    COPY-PASTE FIX
    ai-companion, ai-memory, chatgpt, llm-application, llm-memory, long-term-memory, memory, rag, retrieval, user-memory, conversational-memory, ai-agent-memory, user-profiles
  • mediumreadme#2
    Create a dedicated section in the README comparing Memobase to common alternatives.

    Why:

    COPY-PASTE FIX
    ## Memobase vs. Alternatives
Clearly outline how Memobase differs from vector databases, general-purpose databases, or other LLM frameworks in the context of user profile-based long-term memory for AI applications.

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 memodb-io/memobase
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. Redis · recommended 2×
  3. PostgreSQL · recommended 2×
  4. MongoDB · recommended 1×
  5. Supabase · recommended 1×
  • CATEGORY QUERY
    How can I give my LLM application persistent memory for individual user profiles?
    you: not recommended
    AI recommended (in order):
    1. Pinecone
    2. Redis
    3. PostgreSQL
    4. MongoDB
    5. Supabase
    6. Firebase Firestore
    7. Amazon DynamoDB

    AI recommended 7 alternatives but never named memodb-io/memobase. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good options for building long-term conversational memory systems for AI agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Pinecone
    3. Chroma
    4. Weaviate
    5. LlamaIndex
    6. Redis
    7. RedisJSON
    8. RediSearch
    9. PostgreSQL
    10. pgvector
    11. MongoDB Atlas
    12. Faiss
    13. DynamoDB
    14. Cassandra
    15. OpenAI's `text-embedding-ada-002`
    16. Sentence Transformers

    AI recommended 16 alternatives but never named memodb-io/memobase. 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 memodb-io/memobase?
    pass
    AI did not name memodb-io/memobase — 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 memodb-io/memobase in production, what risks or prerequisites should they evaluate first?
    pass
    AI named memodb-io/memobase 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 memodb-io/memobase solve, and who is the primary audience?
    pass
    AI named memodb-io/memobase explicitly

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

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