RRepoGEO

REPOGEO REPORT · LITE

Mirix-AI/MIRIX

Default branch main · commit b45563a4 · scanned 5/27/2026, 7:03:17 PM

GitHub: 3,554 stars · 284 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 Mirix-AI/MIRIX, 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
    Strengthen README's opening to emphasize unique value proposition

    Why:

    CURRENT
    ## MIRIX - Multi-Agent Personal Assistant with an Advanced Memory System
Your personal AI that builds memory through screen observation and natural conversation
    COPY-PASTE FIX
    ## MIRIX: The Multi-Agent Personal AI Assistant that Learns from Your Screen

Mirix is a privacy-first, multi-agent personal assistant that continuously observes your screen activity and conversations to build a rich, adaptive knowledge base. Unlike generic screen automation tools or abstract AI frameworks, Mirix provides a complete, intelligent system for real-time assistance, powered by its advanced memory architecture.
  • mediumcomparison#2
    Add a 'Why Mirix?' or 'Comparison' section to differentiate from frameworks

    Why:

    COPY-PASTE FIX
    ### Why Mirix? Differentiating from AI Frameworks

While frameworks like LangChain, AutoGen, and LlamaIndex provide excellent tools for building AI applications, Mirix offers a complete, privacy-first personal AI assistant out-of-the-box. Mirix uniquely integrates continuous screen observation and a sophisticated multi-agent memory system to create a truly adaptive and intelligent personal assistant, rather than just a toolkit for developers.
  • lowtopics#3
    Expand repository topics to include specific features

    Why:

    CURRENT
    llm-agents, llm-memory, memory-agents, personal-assistant
    COPY-PASTE FIX
    llm-agents, llm-memory, memory-agents, personal-assistant, screen-observation, privacy-first-ai, knowledge-base, multi-modal-ai, real-time-ai

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 Mirix-AI/MIRIX
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI GPT-4 / GPT-3.5 Turbo
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI GPT-4 / GPT-3.5 Turbo · recommended 1×
  2. asweigart/pyautogui · recommended 1×
  3. tesseract-ocr/tesseract · recommended 1×
  4. madmaze/pytesseract · recommended 1×
  5. Google Cloud Vision API · recommended 1×
  • CATEGORY QUERY
    How to build an AI assistant that learns from screen activity and builds a rich knowledge base?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4 / GPT-3.5 Turbo
    2. PyAutoGUI (asweigart/pyautogui)
    3. Tesseract (tesseract-ocr/tesseract)
    4. pytesseract (madmaze/pytesseract)
    5. Google Cloud Vision API
    6. AWS Textract
    7. Pinecone
    8. Weaviate (weaviate/weaviate)
    9. Milvus (milvus-io/milvus)
    10. OpenAI Embeddings
    11. Hugging Face Transformers (huggingface/transformers)
    12. sentence-transformers (UKPLab/sentence-transformers)
    13. LangChain (langchain-ai/langchain)
    14. LlamaIndex (run-llama/llama_index)
    15. Microsoft Azure Cognitive Services
    16. Azure Cognitive Services (Vision API)
    17. Azure Cognitive Services (Language Service)
    18. Azure OpenAI Service
    19. Azure Cosmos DB
    20. Azure Functions
    21. Logic Apps
    22. Google Cloud AI Platform
    23. Google Cloud Vision AI
    24. Google Cloud Natural Language API
    25. Vertex AI (Generative AI Studio)
    26. Gemini
    27. PaLM 2
    28. Google Cloud Firestore
    29. BigQuery
    30. Llama 2
    31. Mistral
    32. ChromaDB (chroma-core/chroma)
    33. FAISS (facebookresearch/faiss)
    34. UiPath
    35. Automation Anywhere

    AI recommended 35 alternatives but never named Mirix-AI/MIRIX. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are robust multi-agent frameworks for building a privacy-focused personal AI with advanced memory?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGen
    3. CrewAI
    4. Haystack
    5. LlamaIndex
    6. SPADE

    AI recommended 6 alternatives but never named Mirix-AI/MIRIX. 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 Mirix-AI/MIRIX?
    pass
    AI named Mirix-AI/MIRIX explicitly

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

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

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

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