RRepoGEO

REPOGEO REPORT · LITE

memfreeme/memfree

Default branch main · commit 0abe6f53 · scanned 5/22/2026, 6:33:04 PM

GitHub: 1,496 stars · 207 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
40 /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
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 memfreeme/memfree, 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 immediately clarify the project's identity

    Why:

    CURRENT
    # MemFree
    COPY-PASTE FIX
    # MemFree: Hybrid AI Search Engine & AI Page Generator

MemFree is a powerful platform that combines a Hybrid AI Search Engine with an AI Page Generator. Unlike tools for system memory management, this project helps you instantly get accurate answers from your knowledge base and the whole internet, and generate production-ready UI pages in seconds using Claude 3.5 Sonnet, React, Tailwind, and Shadcn UI.
  • highreadme#2
    Add a 'How MemFree Compares' section to the README

    Why:

    COPY-PASTE FIX
    ## How MemFree Compares

MemFree stands out from traditional search engines like Elasticsearch or Apache Nutch by offering a hybrid AI approach that combines your knowledge base with the entire internet for instant, accurate answers. Unlike general AI code generators such as GitHub Copilot or Vercel v0, MemFree is specifically designed as an AI Page Generator, leveraging Claude 3.5 Sonnet, React, Tailwind, and Shadcn UI to create production-ready UI pages. Crucially, MemFree is *not* a system utility for managing computer memory; it is a full-stack AI application.
  • mediumabout#3
    Refine the repository description for clarity and disambiguation

    Why:

    CURRENT
    MemFree - Hybrid AI Search Engine & AI Page Generator
    COPY-PASTE FIX
    MemFree: A Hybrid AI Search Engine for instant answers from your data & the internet, and an AI Page Generator for production-ready React UIs (Claude 3.5 Sonnet, Shadcn UI). Not a system memory utility.

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 memfreeme/memfree
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
elastic/elasticsearch
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. elastic/elasticsearch · recommended 1×
  2. apache/nutch · recommended 1×
  3. scrapy/scrapy · recommended 1×
  4. Pinecone · recommended 1×
  5. opensearch-project/OpenSearch · recommended 1×
  • CATEGORY QUERY
    What are the best tools for building a hybrid AI search engine across custom data and internet?
    you: not recommended
    AI recommended (in order):
    1. Elasticsearch (elastic/elasticsearch)
    2. Apache Nutch (apache/nutch)
    3. Scrapy (scrapy/scrapy)
    4. Pinecone
    5. OpenSearch (opensearch-project/OpenSearch)
    6. Weaviate (weaviate/weaviate)
    7. Google Cloud Search
    8. Google Search API
    9. Azure Cognitive Search
    10. Bing Search API
    11. Solr (apache/solr)

    AI recommended 11 alternatives but never named memfreeme/memfree. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to quickly generate production-ready React UI components and pages using AI models?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Vercel v0
    3. Locofy.ai
    4. Durable AI
    5. Builder.io
    6. GPT-4

    AI recommended 6 alternatives but never named memfreeme/memfree. 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 memfreeme/memfree?
    pass
    AI named memfreeme/memfree explicitly

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

  • If a team adopts memfreeme/memfree in production, what risks or prerequisites should they evaluate first?
    pass
    AI named memfreeme/memfree 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 memfreeme/memfree solve, and who is the primary audience?
    pass
    AI named memfreeme/memfree explicitly

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

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memfreeme/memfree — 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