RRepoGEO

REPOGEO REPORT · LITE

getmetal/motorhead

Default branch main · commit fb2f2f95 · scanned 6/14/2026, 8:21:58 PM

GitHub: 916 stars · 87 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 getmetal/motorhead, 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
    Remove or clarify the 'DEPRECATED' status in the README

    Why:

    CURRENT
    <h1>🧠 Motorhead (DEPRECATED)</h1><h2>Support is no longer maintained for this project.</h2>
    COPY-PASTE FIX
    <h1>🧠 Motorhead</h1>
  • mediumreadme#2
    Refine README's opening paragraph to highlight standalone server nature

    Why:

    CURRENT
    Motorhead is a memory and information retrieval server for LLMs.
    COPY-PASTE FIX
    Motorhead is a dedicated, self-hosted memory and information retrieval server for LLMs, providing a robust API to manage conversational state and context independently of your main LLM application framework.
  • lowcomparison#3
    Add a 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ## Comparison

Unlike general LLM frameworks (e.g., LangChain, LlamaIndex) that embed memory features, Motorhead is a standalone, self-hosted, and open-source service specifically designed for LLM conversational memory. It provides a dedicated API-driven solution, allowing you to decouple memory management from your application logic and scale independently.

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 getmetal/motorhead
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 7 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 7×
  2. run-llama/llama_index · recommended 4×
  3. Pinecone · recommended 2×
  4. weaviate/weaviate · recommended 1×
  5. qdrant/qdrant · recommended 1×
  • CATEGORY QUERY
    How can I implement robust conversational memory for my LLM-powered chat application?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. ConversationBufferMemory (langchain-ai/langchain)
    3. ConversationBufferWindowMemory (langchain-ai/langchain)
    4. ConversationSummaryMemory (langchain-ai/langchain)
    5. ConversationSummaryBufferMemory (langchain-ai/langchain)
    6. ConversationKGMemory (langchain-ai/langchain)
    7. VectorStoreRetrieverMemory (langchain-ai/langchain)
    8. LlamaIndex (run-llama/llama_index)
    9. CondensePlusContextChatEngine (run-llama/llama_index)
    10. ContextChatEngine (run-llama/llama_index)
    11. SimpleChatEngine (run-llama/llama_index)
    12. Pinecone
    13. Weaviate (weaviate/weaviate)
    14. Qdrant (qdrant/qdrant)
    15. Chroma (chroma-core/chroma)
    16. Redis (redis/redis)
    17. PostgreSQL (postgres/postgres)
    18. MongoDB (mongodb/mongo)

    AI recommended 18 alternatives but never named getmetal/motorhead. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best tools for managing and retrieving LLM session context and chat history?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Redis
    4. Pinecone
    5. Weaviate
    6. Faiss
    7. PostgreSQL with pgvector

    AI recommended 7 alternatives but never named getmetal/motorhead. 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 getmetal/motorhead?
    pass
    AI named getmetal/motorhead explicitly

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

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