RRepoGEO

REPOGEO REPORT · LITE

openai/universe-starter-agent

Default branch master · commit 293904f0 · scanned 5/21/2026, 11:28:18 PM

GitHub: 1,102 stars · 313 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 openai/universe-starter-agent, 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
  • hightopics#1
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    reinforcement-learning, a3c, openai-universe, deep-learning, game-ai, deprecated, starter-agent
  • highabout#2
    Update the 'About' description to reflect deprecation and successor

    Why:

    CURRENT
    A starter agent that can solve a number of universe environments.
    COPY-PASTE FIX
    DEPRECATED: A starter agent for OpenAI Universe environments, implementing A3C. This project is superseded by OpenAI Retro (github.com/openai/retro).
  • mediumreadme#3
    Reposition the README's core purpose statement to emphasize historical context

    Why:

    CURRENT
    The codebase implements a starter agent that can solve a number of `universe` environments. It contains a basic implementation of the A3C algorithm, adapted for real-time environments.
    COPY-PASTE FIX
    This codebase historically implemented a starter agent that could solve a number of `universe` environments. It contains a basic implementation of the A3C algorithm, adapted for real-time environments, serving as a reference for early RL research.

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 openai/universe-starter-agent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DLR-RM/stable-baselines3
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. DLR-RM/stable-baselines3 · recommended 1×
  2. Farama-Foundation/Gymnasium · recommended 1×
  3. ray-project/ray · recommended 1×
  4. pytorch/pytorch · recommended 1×
  5. tensorflow/tensorflow · recommended 1×
  • CATEGORY QUERY
    How can I develop an AI agent to play and learn in various game environments?
    you: not recommended
    AI recommended (in order):
    1. Stable Baselines3 (DLR-RM/stable-baselines3)
    2. Gymnasium (Farama-Foundation/Gymnasium)
    3. Ray RLib (ray-project/ray)
    4. PyTorch (pytorch/pytorch)
    5. TensorFlow (tensorflow/tensorflow)
    6. Unity ML-Agents (Unity-Technologies/ml-agents)
    7. Minigrid (Farama-Foundation/Minigrid)
    8. PettingZoo (Farama-Foundation/PettingZoo)

    AI recommended 8 alternatives but never named openai/universe-starter-agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good starter implementations for A3C reinforcement learning in real-time simulations?
    you: not recommended
    AI recommended (in order):
    1. Stable Baselines3
    2. OpenAI Spinning Up
    3. TensorFlow Agents (TF-Agents)
    4. PyTorch-A3C (by ikostrikov) (ikostrikov/pytorch-a3c)
    5. RLlib (part of Ray)

    AI recommended 5 alternatives but never named openai/universe-starter-agent. 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 openai/universe-starter-agent?
    pass
    AI did not name openai/universe-starter-agent — 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 openai/universe-starter-agent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named openai/universe-starter-agent 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 openai/universe-starter-agent solve, and who is the primary audience?
    pass
    AI named openai/universe-starter-agent 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 openai/universe-starter-agent. 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/openai/universe-starter-agent.svg)](https://repogeo.com/en/r/openai/universe-starter-agent)
HTML
<a href="https://repogeo.com/en/r/openai/universe-starter-agent"><img src="https://repogeo.com/badge/openai/universe-starter-agent.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

openai/universe-starter-agent — 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