RRepoGEO

REPOGEO REPORT · LITE

kingjulio8238/Memary

Default branch main · commit b2331a2c · scanned 5/27/2026, 3:02:04 AM

GitHub: 2,617 stars · 199 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 kingjulio8238/Memary, 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
  • highreadme#1
    Reposition the README's opening to clearly state the project's purpose

    Why:

    CURRENT
    Agents promote human-type reasoning and are a great advancement towards building AGI and understanding ourselves as humans. Memory is a key component of how humans approach tasks and should be weighted the same when building AI agents. **memary emulates human memory to advance these agents.**
    COPY-PASTE FIX
    Memary is the open-source memory layer for autonomous agents, designed to emulate human memory and advance AI agent capabilities. Unlike simple memory games or basic web projects, Memary provides a robust framework for managing agent knowledge, enabling human-type reasoning and self-improvement.
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://kingjulio8238.github.io/memarydocs/
  • lowreadme#3
    Add a "Comparison to Alternatives" section in the README

    Why:

    COPY-PASTE FIX
    ## Comparison to Alternatives

While tools like Pinecone, Weaviate, and Qdrant provide robust vector database capabilities, Memary focuses specifically on emulating human-like memory structures and processes for autonomous agents, offering a higher-level abstraction for knowledge management and self-improvement within agent systems.

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 kingjulio8238/Memary
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. Weaviate · recommended 2×
  3. Qdrant · recommended 1×
  4. Chroma · recommended 1×
  5. Redis · recommended 1×
  • CATEGORY QUERY
    How can I build an effective long-term memory system for my AI agents?
    you: not recommended
    AI recommended (in order):
    1. Pinecone
    2. Weaviate
    3. Qdrant
    4. Chroma
    5. Redis
    6. PostgreSQL
    7. Milvus

    AI recommended 7 alternatives but never named kingjulio8238/Memary. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help autonomous agents manage their knowledge and improve self-learning capabilities?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Pinecone
    4. Weaviate
    5. Faiss
    6. Neo4j
    7. OpenAI API

    AI recommended 7 alternatives but never named kingjulio8238/Memary. 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 kingjulio8238/Memary?
    pass
    AI did not name kingjulio8238/Memary — 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 kingjulio8238/Memary in production, what risks or prerequisites should they evaluate first?
    pass
    AI named kingjulio8238/Memary 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 kingjulio8238/Memary solve, and who is the primary audience?
    pass
    AI named kingjulio8238/Memary 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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kingjulio8238/Memary — 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