RRepoGEO

REPOGEO REPORT · LITE

kyegomez/awesome-multi-agent-papers

Default branch main · commit c586e8c0 · scanned 5/17/2026, 6:47:37 AM

GitHub: 1,484 stars · 142 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 kyegomez/awesome-multi-agent-papers, 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 resource type

    Why:

    COPY-PASTE FIX
    Add a prominent sentence near the top of the README, e.g., "This repository is a curated, comprehensive list of essential research papers on multi-agent systems and LLM architectures, designed as a resource for researchers and practitioners, not a software framework or library."
  • mediumtopics#2
    Refine topics to remove framework names and add repo type

    Why:

    CURRENT
    agents, agents-team, attention, autogen, autonomous-agents, crewai, langgraph, llms, multi-agent, multiagent, swarm, swarms, swarms-of-agents, transformers, transformers-models
    COPY-PASTE FIX
    agents, agents-team, attention, autonomous-agents, llms, multi-agent, multiagent, swarm, swarms, swarms-of-agents, transformers, transformers-models, research-papers, awesome-list
  • lowlicense#3
    Clarify license information in README

    Why:

    COPY-PASTE FIX
    Add a 'License' section to the README stating: "This repository contains a compilation of research papers. The content of this list is provided under [specify your actual license(s) here, e.g., CC BY 4.0 for the list itself]. Individual papers linked herein are subject to their respective authors' licenses."

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 kyegomez/awesome-multi-agent-papers
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Awesome-LLM-Agents
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Awesome-LLM-Agents · recommended 1×
  2. Papers With Code · recommended 1×
  3. arXiv · recommended 1×
  4. Google Scholar · recommended 1×
  5. Google DeepMind · recommended 1×
  • CATEGORY QUERY
    Where can I find a curated list of important papers on autonomous AI agents?
    you: not recommended
    AI recommended (in order):
    1. Awesome-LLM-Agents
    2. Papers With Code
    3. arXiv
    4. Google Scholar
    5. Google DeepMind
    6. OpenAI
    7. Meta AI
    8. Microsoft Research

    AI recommended 8 alternatives but never named kyegomez/awesome-multi-agent-papers. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best academic papers exploring multi-agent systems and LLM architectures?
    you: not recommended
    AI recommended (in order):
    1. MetaGPT (geekan/MetaGPT)
    2. CAMEL (camel-ai/camel)
    3. AutoGPT (Significant-Gravitas/AutoGPT)
    4. Voyager (MineDojo/Voyager)
    5. AgentBench (THUDM/AgentBench)
    6. Reflexion (noahshinn024/reflexion)

    AI recommended 6 alternatives but never named kyegomez/awesome-multi-agent-papers. 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 kyegomez/awesome-multi-agent-papers?
    pass
    AI did not name kyegomez/awesome-multi-agent-papers — 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 kyegomez/awesome-multi-agent-papers in production, what risks or prerequisites should they evaluate first?
    pass
    AI named kyegomez/awesome-multi-agent-papers 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 kyegomez/awesome-multi-agent-papers solve, and who is the primary audience?
    pass
    AI did not name kyegomez/awesome-multi-agent-papers — 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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kyegomez/awesome-multi-agent-papers — 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