RRepoGEO

REPOGEO REPORT · LITE

Shichun-Liu/Agent-Memory-Paper-List

Default branch main · commit 4b451283 · scanned 5/9/2026, 9:42:27 AM

GitHub: 1,946 stars · 88 forks

AI VISIBILITY SCORE
27 /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
1 / 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 Shichun-Liu/Agent-Memory-Paper-List, 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 README's opening to state it's a paper list/survey repository

    Why:

    CURRENT
    The current README starts with the survey title 'Memory in the Age of AI Agents: A Survey' and then an 'Introduction' section.
    COPY-PASTE FIX
    Add a clear introductory sentence immediately after the main title, such as: 'This repository provides a comprehensive and actively updated list of research papers on memory mechanisms for AI agents, curated as a companion to our survey, 'Memory in the Age of AI Agents: A Survey'.'
  • hightopics#2
    Add more specific topics to differentiate from software libraries

    Why:

    CURRENT
    agent, memory
    COPY-PASTE FIX
    ai-agents, agent-memory, llm-agents, research-papers, survey, paper-list, literature-review, artificial-intelligence
  • mediumabout#3
    Enhance the repository description for clarity on its purpose

    Why:

    CURRENT
    The paper list of "Memory in the Age of AI Agents: A Survey"
    COPY-PASTE FIX
    A comprehensive and actively updated list of research papers on memory mechanisms for AI agents, curated as a companion to our survey 'Memory in the Age of AI Agents: A Survey'.

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 Shichun-Liu/Agent-Memory-Paper-List
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. MemGPT · recommended 1×
  4. Pinecone · recommended 1×
  5. Weaviate · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive survey of memory mechanisms for AI agents?
    you: not recommended
    Show full AI answer
  • CATEGORY QUERY
    What are the current best practices for designing memory components in AI agent systems?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. MemGPT
    4. Pinecone
    5. Weaviate
    6. Chroma
    7. Qdrant
    8. Hugging Face Transformers
    9. Neo4j
    10. ArangoDB

    AI recommended 10 alternatives but never named Shichun-Liu/Agent-Memory-Paper-List. 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 Shichun-Liu/Agent-Memory-Paper-List?
    pass
    AI did not name Shichun-Liu/Agent-Memory-Paper-List — 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 Shichun-Liu/Agent-Memory-Paper-List in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Shichun-Liu/Agent-Memory-Paper-List 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 Shichun-Liu/Agent-Memory-Paper-List solve, and who is the primary audience?
    pass
    AI did not name Shichun-Liu/Agent-Memory-Paper-List — 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?

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Shichun-Liu/Agent-Memory-Paper-List — RepoGEO report