RRepoGEO

REPOGEO REPORT · LITE

kyegomez/awesome-multi-agent-papers

Default branch main · commit a9e31235 · scanned 6/28/2026, 8:22:42 AM

GitHub: 1,582 stars · 152 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 unique value as a curated list

    Why:

    CURRENT
    This is an awesome list of the best multi-agent research
    COPY-PASTE FIX
    This is a meticulously curated and actively maintained awesome list of the most impactful research papers on multi-agent AI systems. Unlike broad academic search engines or specific multi-agent frameworks, this repository provides a human-filtered, categorized, and up-to-date collection for researchers and practitioners.
  • mediumlicense#2
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    ## License
This repository is licensed under the terms specified in the `LICENSE` file. Please refer to that file for full details on usage and distribution.
  • lowcomparison#3
    Add a dedicated 'Why Use This List?' section to the README

    Why:

    COPY-PASTE FIX
    ## Why Use This List?
This repository stands apart from general academic search engines like arXiv or Google Scholar by offering a hand-picked, quality-controlled selection of papers. Unlike multi-agent frameworks such as AutoGPT or CrewAI, this is not a software library but a focused resource for discovering foundational and cutting-edge research, saving you time from sifting through irrelevant results.

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
arXiv.org
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. arXiv.org · recommended 1×
  2. ACM Digital Library · recommended 1×
  3. IEEE Xplore Digital Library · recommended 1×
  4. Google Scholar · recommended 1×
  5. Semantic Scholar · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive collection of research papers on multi-agent AI systems?
    you: not recommended
    AI recommended (in order):
    1. arXiv.org
    2. ACM Digital Library
    3. IEEE Xplore Digital Library
    4. Google Scholar
    5. Semantic Scholar
    6. ResearchGate
    7. Academia.edu
    8. SpringerLink
    9. ScienceDirect

    AI recommended 9 alternatives but never named kyegomez/awesome-multi-agent-papers. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    I need to explore recent advancements in multi-agent LLM architectures and autonomous agent swarms.
    you: not recommended
    AI recommended (in order):
    1. AutoGPT
    2. BabyAGI
    3. CrewAI
    4. MetaGPT
    5. AgentVerse
    6. LangChain Agents
    7. Open Interpreter

    AI recommended 7 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.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite