RRepoGEO

REPOGEO REPORT · LITE

AGI-Edgerunners/LLM-Agents-Papers

Default branch main · commit aa40b127 · scanned 7/1/2026, 12:12:40 PM

GitHub: 2,323 stars · 151 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 AGI-Edgerunners/LLM-Agents-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
    Add explicit positioning to README description

    Why:

    CURRENT
    A repo lists papers related to LLM based agent.
    COPY-PASTE FIX
    This repository is a comprehensive, curated collection of academic papers and research on LLM-based agents, focusing on architectures, techniques, and applications. It is a research resource, not a software library or framework.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • mediumhomepage#3
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    Set the 'Homepage' field in the repository settings to a relevant URL, such as a project website, a related publication, or even the repository itself if no external site exists.

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 AGI-Edgerunners/LLM-Agents-Papers
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 2×
  2. run-llama/llama_index · recommended 2×
  3. Awesome-LLM-Agents · recommended 1×
  4. Papers With Code · recommended 1×
  5. arXiv · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive overview of research papers on LLM agent architectures and techniques?
    you: not recommended
    AI recommended (in order):
    1. Awesome-LLM-Agents
    2. Papers With Code
    3. arXiv
    4. NeurIPS
    5. ICML
    6. ICLR
    7. ACL
    8. EMNLP
    9. Hugging Face
    10. Google Scholar

    AI recommended 10 alternatives but never named AGI-Edgerunners/LLM-Agents-Papers. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the cutting-edge methods for enhancing memory, planning, and feedback in AI agents?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4
    2. Anthropic Claude 3 Opus
    3. Google Gemini 1.5 Pro
    4. Pinecone
    5. Weaviate (weaviate/weaviate)
    6. Chroma (chroma-core/chroma)
    7. AutoGPT (Significant-Gravitas/AutoGPT)
    8. LangChain's Self-Correction Agents (langchain-ai/langchain)
    9. LlamaIndex's Query Rewriting/Refinement (run-llama/llama_index)
    10. OpenAI's API for fine-tuning
    11. Hugging Face's TRL (Transformer Reinforcement Learning) library (huggingface/trl)
    12. OpenAI Function Calling API
    13. LangChain's Tooling Agents (langchain-ai/langchain)
    14. LlamaIndex's Function Calling Agents (run-llama/llama_index)

    AI recommended 14 alternatives but never named AGI-Edgerunners/LLM-Agents-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
    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 AGI-Edgerunners/LLM-Agents-Papers?
    pass
    AI named AGI-Edgerunners/LLM-Agents-Papers explicitly

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

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

Embed your GEO score

Drop this badge into the README of AGI-Edgerunners/LLM-Agents-Papers. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/AGI-Edgerunners/LLM-Agents-Papers.svg)](https://repogeo.com/en/r/AGI-Edgerunners/LLM-Agents-Papers)
HTML
<a href="https://repogeo.com/en/r/AGI-Edgerunners/LLM-Agents-Papers"><img src="https://repogeo.com/badge/AGI-Edgerunners/LLM-Agents-Papers.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

AGI-Edgerunners/LLM-Agents-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