RRepoGEO

REPOGEO REPORT · LITE

BAI-LAB/MemoryOS

Default branch main · commit 1d717060 · scanned 5/17/2026, 5:36:49 AM

GitHub: 1,384 stars · 136 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 BAI-LAB/MemoryOS, 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
    Clarify project type in the README's opening sentence

    Why:

    CURRENT
    **MemoryOS** is designed to provide a memory operating system for personalized AI agents...
    COPY-PASTE FIX
    **MemoryOS** is a novel framework designed to provide a memory operating system for personalized AI agents...
  • mediumabout#2
    Update the repository description to include 'framework'

    Why:

    CURRENT
    [EMNLP 2025 Oral] MemoryOS is designed to provide a memory operating system for personalized AI agents.
    COPY-PASTE FIX
    [EMNLP 2025 Oral] MemoryOS is a framework designed to provide a memory operating system for personalized AI agents.
  • lowcomparison#3
    Add a 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section titled 'Comparison with Existing Frameworks' or 'Why MemoryOS?' that outlines how MemoryOS differs from and complements tools like LangChain, LlamaIndex, and MemGPT, focusing on its memory-centric OS approach.

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 BAI-LAB/MemoryOS
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 1×
  2. Pinecone · recommended 1×
  3. weaviate/weaviate · recommended 1×
  4. chroma-core/chroma · recommended 1×
  5. run-llama/llama_index · recommended 1×
  • CATEGORY QUERY
    How to build personalized AI agents with robust, context-aware long-term memory management?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. Pinecone
    3. Weaviate (weaviate/weaviate)
    4. Chroma (chroma-core/chroma)
    5. LlamaIndex (run-llama/llama_index)
    6. Microsoft Semantic Kernel (microsoft/semantic-kernel)
    7. Azure AI Search
    8. Haystack (deepset-ai/haystack)
    9. Elasticsearch (elastic/elasticsearch)
    10. OpenSearch (opensearch-project/OpenSearch)
    11. Faiss (facebookresearch/faiss)
    12. Annoy (spotify/annoy)
    13. Hnswlib (nmslib/hnswlib)
    14. PostgreSQL
    15. pgvector (pgvector/pgvector)
    16. MongoDB
    17. MemGPT (cpacker/MemGPT)

    AI recommended 17 alternatives but never named BAI-LAB/MemoryOS. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a system to manage hierarchical memory for LLM agents, inspired by operating systems.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. MemGPT
    4. AutoGen
    5. Haystack
    6. Neo4j
    7. ArangoDB

    AI recommended 7 alternatives but never named BAI-LAB/MemoryOS. 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 BAI-LAB/MemoryOS?
    pass
    AI named BAI-LAB/MemoryOS explicitly

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

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

    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 BAI-LAB/MemoryOS. 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/BAI-LAB/MemoryOS.svg)](https://repogeo.com/en/r/BAI-LAB/MemoryOS)
HTML
<a href="https://repogeo.com/en/r/BAI-LAB/MemoryOS"><img src="https://repogeo.com/badge/BAI-LAB/MemoryOS.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

BAI-LAB/MemoryOS — 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