RRepoGEO

REPOGEO REPORT · LITE

supermemoryai/claude-supermemory

Default branch main · commit 42cc164e · scanned 6/30/2026, 5:36:41 AM

GitHub: 2,687 stars · 165 forks

Scan history for this repo

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.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
35 /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
3 / 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 supermemoryai/claude-supermemory, 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 the README's opening sentence to emphasize its role as a Claude plugin for persistent memory for coding assistants.

    Why:

    CURRENT
    > **✨ Requires Supermemory Pro or aboveUnlock the state of the art memory for your Claude code. A Claude Code plugin that gives your AI persistent memory across sessions using Supermemory.
    COPY-PASTE FIX
    > **✨ Requires Supermemory Pro or above** Give your Claude AI coding assistant persistent, real-time memory across sessions and projects with Supermemory. This plugin enables your Claude agent to learn and grow with you.
  • hightopics#2
    Add specific topics to improve categorization and searchability.

    Why:

    COPY-PASTE FIX
    claude, anthropic, ai-assistant, persistent-memory, rag, llm-plugin, code-assistant, real-time-learning, supermemory
  • highlicense#3
    Add a LICENSE file to clarify usage rights.

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with the appropriate license text (e.g., MIT, Apache-2.0, or a custom license if applicable). If a custom license, ensure its terms are clearly stated.

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 supermemoryai/claude-supermemory
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. Pinecone · recommended 1×
  3. Weaviate · recommended 1×
  4. Chroma · recommended 1×
  5. Qdrant · recommended 1×
  • CATEGORY QUERY
    How can I give my AI coding assistant persistent memory across multiple sessions?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Pinecone
    3. Weaviate
    4. Chroma
    5. Qdrant
    6. PostgreSQL
    7. MySQL
    8. SQLite
    9. MongoDB
    10. Couchbase
    11. Redis
    12. JSON
    13. YAML

    AI recommended 13 alternatives but never named supermemoryai/claude-supermemory. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools enable real-time knowledge updates and shared memory for AI development teams?
    you: not recommended
    AI recommended (in order):
    1. Notion
    2. Confluence
    3. Weights & Biases (W&B)
    4. MLflow
    5. JupyterHub
    6. Google Colaboratory (Colab)
    7. Google Drive
    8. AWS S3
    9. GitHub
    10. GitLab
    11. Slack
    12. Microsoft Teams

    AI recommended 12 alternatives but never named supermemoryai/claude-supermemory. 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 supermemoryai/claude-supermemory?
    pass
    AI named supermemoryai/claude-supermemory 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/claude-supermemory in production, what risks or prerequisites should they evaluate first?
    pass
    AI named supermemoryai/claude-supermemory 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/claude-supermemory solve, and who is the primary audience?
    pass
    AI named supermemoryai/claude-supermemory explicitly

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

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supermemoryai/claude-supermemory — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite