RRepoGEO

REPOGEO REPORT · LITE

tmgthb/Autonomous-Agents

Default branch main · commit ab1074ad · scanned 6/30/2026, 4:48:05 AM

GitHub: 1,330 stars · 99 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
28 /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
2 / 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 tmgthb/Autonomous-Agents, 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 H1 to clarify it's a curated collection of papers

    Why:

    CURRENT
    # Autonomous Agents
    COPY-PASTE FIX
    # Autonomous Agents: A Curated Collection of LLM Research Papers
  • mediumabout#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://twitter.com/Teemumtt3
  • lowreadme#3
    Expand the README's introductory paragraph to detail the repo's purpose

    Why:

    CURRENT
    Autonomous Agents-research papers. Updated daily. Resources-section-section.
    COPY-PASTE FIX
    This repository offers a daily updated, curated collection of cutting-edge research papers on Autonomous Agents and Large Language Models (LLMs). It serves as a comprehensive resource for tracking the latest advancements, organized chronologically with a dedicated resources section.

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 tmgthb/Autonomous-Agents
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. Google Scholar · recommended 1×
  3. NeurIPS · recommended 1×
  4. ICML · recommended 1×
  5. ICLR · recommended 1×
  • CATEGORY QUERY
    Where can I find recent research papers on autonomous AI agents and their architectures?
    you: not recommended
    AI recommended (in order):
    1. arXiv.org
    2. Google Scholar
    3. NeurIPS
    4. ICML
    5. ICLR
    6. AAAI
    7. IJCAI
    8. AAMAS
    9. Semantic Scholar
    10. Connected Papers
    11. ResearchRabbit
    12. Twitter
    13. Mastodon

    AI recommended 13 alternatives but never named tmgthb/Autonomous-Agents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks or tools exist for simulating agentic environments and evaluating LLM agent performance?
    you: not recommended
    AI recommended (in order):
    1. AutoGen (microsoft/autogen)
    2. MetaGPT (geekan/MetaGPT)
    3. LangChain (langchain-ai/langchain)
    4. LangSmith
    5. LlamaIndex (run-llama/llama_index)
    6. AgentVerse (OpenRL-Lab/AgentVerse)
    7. OpenAI Gym (openai/gym)
    8. Gymnasium (Farama-Foundation/Gymnasium)
    9. BabyAGI (yoheinakajima/babyagi)
    10. Auto-GPT (Significant-Gravitas/Auto-GPT)

    AI recommended 10 alternatives but never named tmgthb/Autonomous-Agents. 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 tmgthb/Autonomous-Agents?
    pass
    AI named tmgthb/Autonomous-Agents explicitly

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

  • If a team adopts tmgthb/Autonomous-Agents in production, what risks or prerequisites should they evaluate first?
    pass
    AI named tmgthb/Autonomous-Agents 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 tmgthb/Autonomous-Agents solve, and who is the primary audience?
    pass
    AI did not name tmgthb/Autonomous-Agents — 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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tmgthb/Autonomous-Agents — 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