RRepoGEO

REPOGEO REPORT · LITE

meta-pytorch/OpenEnv

Default branch main · commit c8fa9e94 · scanned 5/20/2026, 3:47:04 PM

GitHub: 1,880 stars · 358 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
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 meta-pytorch/OpenEnv, 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 its RL/agentic focus

    Why:

    CURRENT
    # OpenEnv: Agentic Execution Environments An e2e framework for creating, deploying and using isolated execution environments for agentic RL training, built using Gymnasium style simple APIs.
    COPY-PASTE FIX
    # OpenEnv: Agentic RL Execution Environments An e2e framework for creating, deploying and using isolated execution environments specifically for agentic reinforcement learning training, built using Gymnasium-style simple APIs.
  • hightopics#2
    Add specific topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    reinforcement-learning, rl, agentic-ai, llm-agents, gymnasium, environments, pytorch, meta-learning
  • mediumhomepage#3
    Add the project homepage URL

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://meta-pytorch.org/OpenEnv/

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 meta-pytorch/OpenEnv
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Docker
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Docker · recommended 1×
  2. Kubernetes · recommended 1×
  3. Singularity (now Apptainer) · recommended 1×
  4. VirtualBox · recommended 1×
  5. VMware Workstation/ESXi · recommended 1×
  • CATEGORY QUERY
    How can I set up isolated execution environments for agentic reinforcement learning training?
    you: not recommended
    AI recommended (in order):
    1. Docker
    2. Kubernetes
    3. Singularity (now Apptainer)
    4. VirtualBox
    5. VMware Workstation/ESXi

    AI recommended 5 alternatives but never named meta-pytorch/OpenEnv. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a Gymnasium-style framework to deploy agentic environments for LLM training.
    you: not recommended
    AI recommended (in order):
    1. Farama Gymnasium
    2. PettingZoo
    3. MiniWoB++
    4. MetaGPT
    5. LangChain Agents
    6. LlamaIndex Agents

    AI recommended 6 alternatives but never named meta-pytorch/OpenEnv. 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 meta-pytorch/OpenEnv?
    pass
    AI named meta-pytorch/OpenEnv explicitly

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

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

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

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meta-pytorch/OpenEnv — 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