RRepoGEO

REPOGEO REPORT · LITE

apirrone/Memento

Default branch main · commit 513a80c2 · scanned 6/7/2026, 10:36:51 PM

GitHub: 650 stars · 58 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 apirrone/Memento, 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 README opening to clarify project identity

    Why:

    CURRENT
    # Memento

Memento is a Python app that records everything you do on your computer and lets you go back in time, search, and chat with a LLM (Large Language Model) to find back information about what you did.
    COPY-PASTE FIX
    # Memento: Your Open-Source Personal AI Memory Assistant

Memento is a Python application designed as a self-hosted alternative to tools like Rewind AI. It records everything you do on your computer, allowing you to go back in time, search, and chat with a Large Language Model (LLM) to find information about your past activities.
  • hightopics#2
    Update repository topics for better categorization

    Why:

    CURRENT
    llms, productivity, pygame, python
    COPY-PASTE FIX
    personal-ai-assistant, life-logging, memory-assistant, llm-applications, python, productivity, screen-recorder, ocr, rewind-ai-alternative
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/apirrone/Memento

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 apirrone/Memento
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Rewind AI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Rewind AI · recommended 1×
  2. Mem.ai · recommended 1×
  3. Obsidian · recommended 1×
  4. Microsoft Copilot · recommended 1×
  5. Google Gemini · recommended 1×
  • CATEGORY QUERY
    Looking for a personal AI assistant to remember everything I do on my computer.
    you: not recommended
    AI recommended (in order):
    1. Rewind AI
    2. Mem.ai
    3. Obsidian
    4. Microsoft Copilot
    5. Google Gemini
    6. ScribeHow
    7. Tango
    8. Python

    AI recommended 8 alternatives but never named apirrone/Memento. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Python application to record computer activity and query past actions with AI.
    you: not recommended
    AI recommended (in order):
    1. pynput (moses-palmer/pynput)
    2. psutil (giampaolo/psutil)
    3. Pillow (python-pillow/Pillow)
    4. mss (BoboTiG/python-mss)
    5. SQLite
    6. spaCy (explosion/spaCy)
    7. Faiss (facebookresearch/faiss)
    8. Transformers (huggingface/transformers)
    9. Tesseract (tesseract-ocr/tesseract)

    AI recommended 9 alternatives but never named apirrone/Memento. 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 apirrone/Memento?
    pass
    AI named apirrone/Memento explicitly

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

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

Drop this badge into the README of apirrone/Memento. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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apirrone/Memento — 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