RRepoGEO

REPOGEO REPORT · LITE

py499372727/AgentSims

Default branch main · commit 52b3adbb · scanned 6/15/2026, 9:47:46 AM

GitHub: 954 stars · 122 forks

AI VISIBILITY SCORE
35 /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
3 / 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 py499372727/AgentSims, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highhomepage#1
    Add the project homepage URL to the About section

    Why:

    COPY-PASTE FIX
    https://www.agentsims.com/
  • mediumreadme#2
    Refine the README's opening paragraph for clearer positioning

    Why:

    CURRENT
    How to evaluate the ability of large language models (LLM) is an open question after ChatGPT-like LLMs prevailing the community. Existing evaluation methods suffer from following shortcomings: (1) constrained evaluation abilities, (2) vulnerable benchmarks, (3) unobjective metrics. We suggest that task-based evaluation, where LLM agents complete tasks in a simulated environment, is a one-for-all solution to solve above problems.
    COPY-PASTE FIX
    AgentSims provides an easy-to-use, interactive GUI-driven infrastructure for researchers to build and evaluate custom tasks for large language model (LLM) agents in simulated environments. It addresses the shortcomings of existing LLM evaluation methods by offering a highly customizable platform for task-based assessment.

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 py499372727/AgentSims
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Farama Gymnasium
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Farama Gymnasium · recommended 1×
  2. LightSim · recommended 1×
  3. TextWorld · recommended 1×
  4. ALFWorld · recommended 1×
  5. ScienceWorld · recommended 1×
  • CATEGORY QUERY
    How to evaluate large language model capabilities using simulated environments?
    you: not recommended
    AI recommended (in order):
    1. Farama Gymnasium
    2. LightSim
    3. TextWorld
    4. ALFWorld
    5. ScienceWorld
    6. Hugging Face's Transformers Agents
    7. LangChain Agents

    AI recommended 7 alternatives but never named py499372727/AgentSims. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an open-source sandbox for custom LLM agent task evaluation.
    you: not recommended
    AI recommended (in order):
    1. AgentBench
    2. AutoGPT
    3. LangChain
    4. LlamaIndex
    5. MiniWoB++
    6. OpenAI Gym

    AI recommended 6 alternatives but never named py499372727/AgentSims. 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 py499372727/AgentSims?
    pass
    AI named py499372727/AgentSims explicitly

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

  • If a team adopts py499372727/AgentSims in production, what risks or prerequisites should they evaluate first?
    pass
    AI named py499372727/AgentSims 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 py499372727/AgentSims solve, and who is the primary audience?
    pass
    AI named py499372727/AgentSims explicitly

    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 py499372727/AgentSims. 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/py499372727/AgentSims.svg)](https://repogeo.com/en/r/py499372727/AgentSims)
HTML
<a href="https://repogeo.com/en/r/py499372727/AgentSims"><img src="https://repogeo.com/badge/py499372727/AgentSims.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

py499372727/AgentSims — 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