RRepoGEO

REPOGEO REPORT · LITE

oceanbase/powermem

Default branch main · commit 3d157b81 · scanned 6/2/2026, 4:32:19 PM

GitHub: 688 stars · 83 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 oceanbase/powermem, 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 explicitly state PowerMem's domain and what it is not

    Why:

    CURRENT
    # PowerMem
**Persistent, self-evolving memory for AI agents and applications.**
    COPY-PASTE FIX
    # PowerMem: The AI Memory Plugin for Persistent, Self-Evolving Agent Memory
**PowerMem is an AI memory plugin, specifically designed for persistent, self-evolving memory in AI agents and applications. It is not a low-level system memory allocator like jemalloc or tcmalloc. PowerMem combines vector, full-text, and graph retrieval with LLM-driven memory extraction and Ebbinghaus-style time decay to provide self-evolving memory, multi-agent isolation, user profiles, and multimodal signal processing.**
  • mediumreadme#2
    Add a 'Why PowerMem?' or 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ## Why PowerMem? (vs. LangChain, Pinecone, Weaviate, ChromaDB, Qdrant)
PowerMem offers a unique combination of two-layer Experience + Skill distillation, 4-way hybrid retrieval (vector, full-text, graph, time-decay), and LLM auto-merge, providing superior accuracy and efficiency for AI agent memory compared to general-purpose vector databases or agent frameworks. While tools like LangChain provide frameworks for agents, PowerMem specializes in the core memory component, offering advanced features for self-evolving memory, multi-agent isolation, user profiles, and multimodal context management that complement these frameworks.
  • lowlicense#3
    Clarify the existing license(s) in the README

    Why:

    COPY-PASTE FIX
    ## License
This project is licensed under the terms described in the [LICENSE](LICENSE) file. Please refer to the file for full details on the applicable license(s).

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 oceanbase/powermem
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. Pinecone · recommended 1×
  3. Weaviate · recommended 1×
  4. ChromaDB · recommended 1×
  5. Qdrant · recommended 1×
  • CATEGORY QUERY
    How can I give my AI agents persistent, self-evolving long-term memory capabilities?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Pinecone
    3. Weaviate
    4. ChromaDB
    5. Qdrant
    6. LlamaIndex
    7. Neo4j
    8. Grakn
    9. TerminusDB
    10. PostgreSQL
    11. pgvector
    12. MySQL
    13. LangChain's GenerativeAgentMemory

    AI recommended 13 alternatives but never named oceanbase/powermem. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help manage multimodal context and user profiles for intelligent agents?
    you: not recommended
    AI recommended (in order):
    1. Rasa
    2. Microsoft Bot Framework Composer
    3. Google Dialogflow CX
    4. Amazon Lex
    5. OpenAI API
    6. LangChain
    7. MongoDB
    8. Cassandra

    AI recommended 8 alternatives but never named oceanbase/powermem. 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 oceanbase/powermem?
    pass
    AI named oceanbase/powermem explicitly

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

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