RRepoGEO

REPOGEO REPORT · LITE

StuckInTheNet/mind-memory

Default branch main · commit 5f0cdeb5 · scanned 6/17/2026, 10:43:36 AM

GitHub: 225 stars · 1 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 StuckInTheNet/mind-memory, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    llm-memory, ai-agents, rag, knowledge-graph, multi-timescale, trust-scoring, language-models
  • highreadme#2
    Clarify MIND's role for AI agents in the README's opening

    Why:

    CURRENT
    **MIND** is a memory architecture for language models that organizes information across three cognitive timescales and scores every memory node with a composable trust function.
    COPY-PASTE FIX
    **MIND** is an advanced memory architecture for AI agents and language models, designed to enhance their ability to handle complex, multi-hop questions over long conversation histories. It organizes information across three cognitive timescales and scores every memory node with a composable trust function, distinguishing it from generic knowledge stores or personal knowledge management systems.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    Link to the associated paper or a project page (e.g., the paper mentioned in the README).

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 StuckInTheNet/mind-memory
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LlamaIndex
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LlamaIndex · recommended 2×
  2. LangChain · recommended 2×
  3. Weaviate · recommended 2×
  4. Pinecone · recommended 2×
  5. Elasticsearch · recommended 1×
  • CATEGORY QUERY
    How to enhance LLM context retrieval for multi-hop questions and long conversations?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Weaviate
    4. Pinecone
    5. Elasticsearch
    6. FAISS

    AI recommended 6 alternatives but never named StuckInTheNet/mind-memory. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a language model memory architecture that weights context based on trustworthiness and recency.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Chroma
    3. Pinecone
    4. Weaviate
    5. LlamaIndex
    6. Neo4j
    7. ArangoDB

    AI recommended 7 alternatives but never named StuckInTheNet/mind-memory. 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 StuckInTheNet/mind-memory?
    pass
    AI named StuckInTheNet/mind-memory explicitly

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

  • If a team adopts StuckInTheNet/mind-memory in production, what risks or prerequisites should they evaluate first?
    pass
    AI named StuckInTheNet/mind-memory 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 StuckInTheNet/mind-memory solve, and who is the primary audience?
    pass
    AI did not name StuckInTheNet/mind-memory — 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 StuckInTheNet/mind-memory. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/StuckInTheNet/mind-memory.svg)](https://repogeo.com/en/r/StuckInTheNet/mind-memory)
HTML
<a href="https://repogeo.com/en/r/StuckInTheNet/mind-memory"><img src="https://repogeo.com/badge/StuckInTheNet/mind-memory.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

StuckInTheNet/mind-memory — 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