RRepoGEO

REPOGEO REPORT · LITE

GeminiLight/MindOS

Default branch main · commit 0a9e5ca0 · scanned 6/15/2026, 9:32:00 PM

GitHub: 626 stars · 55 forks

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 GeminiLight/MindOS, 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 clearly state its 'AI operating system' nature

    Why:

    CURRENT
    MindOS is where you think, and where your AI agents act — a local-first knowledge base shared between you and every AI you use. Share your brain with every AI — every thought grows.
    COPY-PASTE FIX
    MindOS is a Human-AI Collaborative Mind System, an open-source, local-first AI operating system where you think and your AI agents act. It provides a unified, personal knowledge base shared between you and every AI you use, enabling symbiotic evolution of your thoughts and agent actions.
  • mediumtopics#2
    Add more specific topics to clarify its role as an AI operating system

    Why:

    CURRENT
    agent, context, knowledge-base, mcp, memory, skill
    COPY-PASTE FIX
    agent, context, knowledge-base, mcp, memory, skill, ai-operating-system, personal-ai, human-ai-collaboration, cognitive-architecture
  • lowhomepage#3
    Update the repository's homepage metadata to the actual project site

    Why:

    CURRENT
    https://mindos.you
    COPY-PASTE FIX
    https://tianfuwang.tech/MindOS

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 GeminiLight/MindOS
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Pinecone
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Pinecone · recommended 2×
  2. weaviate/weaviate · recommended 2×
  3. qdrant/qdrant · recommended 2×
  4. Redis · recommended 2×
  5. PostgreSQL · recommended 2×
  • CATEGORY QUERY
    How can I build a shared knowledge base for multiple AI agents to collaborate effectively?
    you: not recommended
    AI recommended (in order):
    1. Pinecone
    2. Weaviate (weaviate/weaviate)
    3. Qdrant (qdrant/qdrant)
    4. Redis
    5. Neo4j
    6. PostgreSQL
    7. Elasticsearch

    AI recommended 7 alternatives but never named GeminiLight/MindOS. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help manage and synchronize context or memory across various AI agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Redis
    4. Pinecone
    5. Weaviate (weaviate/weaviate)
    6. Milvus (milvus-io/milvus)
    7. Qdrant (qdrant/qdrant)
    8. Apache Kafka
    9. PostgreSQL
    10. MySQL
    11. Faiss (facebookresearch/faiss)

    AI recommended 11 alternatives but never named GeminiLight/MindOS. 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 GeminiLight/MindOS?
    pass
    AI named GeminiLight/MindOS explicitly

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

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

    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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GeminiLight/MindOS — 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