RRepoGEO

REPOGEO REPORT · LITE

KhoomeiK/LlamaGym

Default branch main · commit 92d7827b · scanned 6/25/2026, 7:27:31 PM

GitHub: 1,250 stars · 64 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)

3 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 KhoomeiK/LlamaGym, 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 the repository

    Why:

    COPY-PASTE FIX
    llm, reinforcement-learning, agents, fine-tuning, openai-gym, machine-learning, python, deep-learning, conversational-ai
  • highreadme#2
    Clarify LlamaGym's role as an RL framework for LLM agents in the opening

    Why:

    CURRENT
    <p align="center">
  <em>Fine-tune LLM agents with online reinforcement learning</em>
</p>
    COPY-PASTE FIX
    <p align="center">
  <em>LlamaGym: A Gym-like framework for fine-tuning LLM agents with online reinforcement learning.</em>
</p>
  • mediumhomepage#3
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    https://reworkd.ai/

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 KhoomeiK/LlamaGym
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Stable Baselines3
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Stable Baselines3 · recommended 2×
  2. RLlib · recommended 1×
  3. Ray · recommended 1×
  4. Hugging Face Transformers · recommended 1×
  5. TRL (Transformer Reinforcement Learning) · recommended 1×
  • CATEGORY QUERY
    How can I fine-tune large language model agents using online reinforcement learning?
    you: not recommended
    AI recommended (in order):
    1. RLlib
    2. Ray
    3. Stable Baselines3
    4. Hugging Face Transformers
    5. TRL (Transformer Reinforcement Learning)
    6. DeepMind's Acme
    7. PyTorch
    8. TensorFlow

    AI recommended 8 alternatives but never named KhoomeiK/LlamaGym. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks simplify applying reinforcement learning to train conversational AI agents?
    you: not recommended
    AI recommended (in order):
    1. Rasa Open Source
    2. ParlAI
    3. DeepPavlov
    4. OpenAI Gym
    5. Stable Baselines3
    6. DI-engine

    AI recommended 6 alternatives but never named KhoomeiK/LlamaGym. 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 KhoomeiK/LlamaGym?
    pass
    AI named KhoomeiK/LlamaGym explicitly

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

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

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

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KhoomeiK/LlamaGym — 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