RRepoGEO

REPOGEO REPORT · LITE

zhangfengcdt/memoir

Default branch main · commit acd33c68 · scanned 6/2/2026, 5:22:11 PM

GitHub: 556 stars · 36 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 zhangfengcdt/memoir, 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
    Clarify README's main heading for AI agent memory

    Why:

    CURRENT
    **Git for AI MemoryHierarchical Memory with Git-Like Version Control*
    COPY-PASTE FIX
    **Hierarchical Memory with Git-Like Version Control for AI Agents**
  • hightopics#2
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    ai-agents, memory-management, version-control, semantic-memory, git-like, vector-database-alternative
  • mediumabout#3
    Expand 'About' description to highlight key differentiators

    Why:

    CURRENT
    Hierarchical Agent Memory with Git-Like Version Control
    COPY-PASTE FIX
    A high-performance semantic memory system for AI agents, offering Git-like version control and a transparent alternative to opaque vector databases.

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 zhangfengcdt/memoir
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
iterative/dvc
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. iterative/dvc · recommended 1×
  2. mlflow/mlflow · recommended 1×
  3. treeverse/lakefs · recommended 1×
  4. git-lfs/git-lfs · recommended 1×
  5. pachyderm/pachyderm · recommended 1×
  • CATEGORY QUERY
    How can I manage and version control AI agent memories like a Git repository?
    you: not recommended
    AI recommended (in order):
    1. DVC (iterative/dvc)
    2. MLflow (mlflow/mlflow)
    3. LakeFS (treeverse/lakefs)
    4. Git LFS (git-lfs/git-lfs)
    5. Pachyderm (pachyderm/pachyderm)
    6. Alembic (sqlalchemy/alembic)
    7. Flyway (flyway/flyway)
    8. Delta Lake (delta-io/delta)
    9. Apache Iceberg (apache/iceberg)
    10. Apache Hudi (apache/hudi)

    AI recommended 10 alternatives but never named zhangfengcdt/memoir. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a transparent, versioned memory system for AI agents, avoiding opaque vector databases.
    you: not recommended
    AI recommended (in order):
    1. Dolt
    2. PostgreSQL
    3. pg_temporal
    4. SQLite
    5. Datomic
    6. Apache Kafka
    7. RabbitMQ
    8. Git LFS

    AI recommended 8 alternatives but never named zhangfengcdt/memoir. 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 zhangfengcdt/memoir?
    pass
    AI named zhangfengcdt/memoir explicitly

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

  • If a team adopts zhangfengcdt/memoir in production, what risks or prerequisites should they evaluate first?
    pass
    AI named zhangfengcdt/memoir 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 zhangfengcdt/memoir solve, and who is the primary audience?
    pass
    AI did not name zhangfengcdt/memoir — 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?

Embed your GEO score

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zhangfengcdt/memoir — 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