RRepoGEO

REPOGEO REPORT · LITE

openmemind/memind

Default branch main · commit b4e70839 · scanned 6/5/2026, 10:32:58 AM

GitHub: 896 stars · 84 forks

AI VISIBILITY SCORE
33 /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
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 openmemind/memind, 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 README opening to clarify category as an AI agent engine

    Why:

    CURRENT
    The memory layer that lets AI systems learn from every conversation, tool call, document, and resolved task.
    COPY-PASTE FIX
    Memind is a self-evolving cognitive memory and context engine for AI agents in Java, designed to let AI systems learn from every conversation, tool call, document, and resolved task.
  • mediumtopics#2
    Add specific topics to clarify LLM agent and knowledge graph capabilities

    Why:

    CURRENT
    ai, ai-agent, ai-agents, ai-memory, context-engineering, java, memory, openclaw, spring-ai
    COPY-PASTE FIX
    ai, ai-agent, ai-agents, ai-memory, context-engineering, java, memory, openclaw, spring-ai, llm-agents, knowledge-graphs
  • lowreadme#3
    Add a dedicated 'Why Memind?' or 'Comparison' section to highlight differentiators

    Why:

    COPY-PASTE FIX
    ## ✨ Why Memind? 
    
    Unlike generic databases or simple vector stores, Memind is purpose-built as a cognitive memory and context engine for AI agents. It goes beyond storage to actively learn, organize, and recall evolving context, achieving state-of-the-art results across long-memory benchmarks like LoCoMo, LongMemEval, and PersonaMem. As the first Java-native SOTA engine in this category, it offers robust performance and seamless integration for enterprise AI applications.

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 openmemind/memind
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Neo4j
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Neo4j · recommended 2×
  2. Redis · recommended 2×
  3. Apache Cassandra · recommended 1×
  4. Apache Spark · recommended 1×
  5. Amazon Neptune · recommended 1×
  • CATEGORY QUERY
    How to build a self-evolving memory system for proactive AI agents in Java?
    you: not recommended
    AI recommended (in order):
    1. Apache Cassandra
    2. Apache Spark
    3. Neo4j
    4. Amazon Neptune
    5. Elasticsearch
    6. Apache Kafka
    7. H2 Database
    8. PostgreSQL
    9. Redis
    10. Drools
    11. Deeplearning4j
    12. Keras
    13. Keras4J
    14. TensorFlow
    15. PyTorch

    AI recommended 15 alternatives but never named openmemind/memind. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help AI agents learn from interactions and manage evolving context graphs?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Weaviate
    4. Neo4j
    5. Pinecone
    6. Redis
    7. DeepMind's Graph Neural Networks Libraries

    AI recommended 7 alternatives but never named openmemind/memind. 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 openmemind/memind?
    pass
    AI did not name openmemind/memind — 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?

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