RRepoGEO

REPOGEO REPORT · LITE

agentscope-ai/ReMe

Default branch main · commit 20b37414 · scanned 5/16/2026, 5:51:57 AM

GitHub: 2,945 stars · 244 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 agentscope-ai/ReMe, 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 clarify specialized niche

    Why:

    CURRENT
    <strong>A memory management toolkit for AI agents — Remember Me, Refine Me.</strong>
    COPY-PASTE FIX
    <strong>ReMe: A comprehensive memory management framework for AI agents, specifically designed to overcome limited context windows and enable persistent, stateful interactions.</strong>
  • highhomepage#2
    Add project homepage URL to About section

    Why:

    COPY-PASTE FIX
    https://deepwiki.com/agentscope-ai/ReMe
  • mediumtopics#3
    Expand topics with more specific keywords

    Why:

    CURRENT
    agent, ai-agents, memory, memoryscope, rag, reme
    COPY-PASTE FIX
    agent, ai-agents, memory, memoryscope, rag, reme, llm-agents, agent-framework, long-term-memory, context-management

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 agentscope-ai/ReMe
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Pinecone
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Pinecone · recommended 2×
  2. LangChain · recommended 1×
  3. LlamaIndex · recommended 1×
  4. Weaviate · recommended 1×
  5. Milvus · recommended 1×
  • CATEGORY QUERY
    How can I effectively manage memory and context for my AI agent applications?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Pinecone
    4. Weaviate
    5. Milvus
    6. Qdrant
    7. Chroma
    8. Redis
    9. PostgreSQL
    10. MySQL
    11. MongoDB
    12. DynamoDB

    AI recommended 12 alternatives but never named agentscope-ai/ReMe. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help with long-term memory and knowledge retrieval for AI agents?
    you: not recommended
    AI recommended (in order):
    1. Pinecone
    2. Weaviate (weaviate/weaviate)
    3. Chroma (chroma-core/chroma)
    4. Redis (redis/redis)
    5. Elasticsearch (elastic/elasticsearch)
    6. FAISS (facebookresearch/faiss)
    7. LangChain (langchain-ai/langchain)

    AI recommended 7 alternatives but never named agentscope-ai/ReMe. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • 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 agentscope-ai/ReMe?
    pass
    AI named agentscope-ai/ReMe explicitly

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

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

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

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MARKDOWN (README)
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agentscope-ai/ReMe — 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