RRepoGEO

REPOGEO REPORT · LITE

OpenManus/OpenManus-RL

Default branch main · commit c66d4930 · scanned 5/24/2026, 4:58:10 AM

GitHub: 4,078 stars · 569 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 OpenManus/OpenManus-RL, 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
    ["reinforcement-learning", "llm-agents", "large-language-models", "agent-tuning", "deep-reinforcement-learning", "ai-agents", "open-source"]
  • highreadme#2
    Reposition the README's opening to clearly state the project's focus

    Why:

    CURRENT
    OpenManus-RL is an open-source initiative collaboratively led by __Ulab-UIUC__ and __MetaGPT__ .
    COPY-PASTE FIX
    OpenManus-RL is an open-source initiative by Ulab-UIUC and MetaGPT, focused on **reinforcement learning for large language model (LLM) agent tuning**. Inspired by Deepseek-R1 and QwQ-32B, we explore new paradigms for RL-based LLM agent tuning.
  • mediumhomepage#3
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    https://huggingface.co/datasets/CharlieDreemur/OpenManus-RL

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 OpenManus/OpenManus-RL
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Transformers
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Transformers · recommended 1×
  2. trl library · recommended 1×
  3. accelerate · recommended 1×
  4. Open Assistant's oasst-sft-1 · recommended 1×
  5. Ray RLlib · recommended 1×
  • CATEGORY QUERY
    How to apply reinforcement learning techniques for improving large language model agent performance?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. trl library
    3. accelerate
    4. Open Assistant's oasst-sft-1
    5. Ray RLlib
    6. DeepMind's Acme
    7. PyTorch
    8. TensorFlow

    AI recommended 8 alternatives but never named OpenManus/OpenManus-RL. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source tools help enhance reasoning and tool use in LLM-powered agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AgentVerse
    5. AutoGPT
    6. CrewAI

    AI recommended 6 alternatives but never named OpenManus/OpenManus-RL. 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 OpenManus/OpenManus-RL?
    pass
    AI named OpenManus/OpenManus-RL explicitly

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

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

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

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OpenManus/OpenManus-RL — 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