RRepoGEO

REPOGEO REPORT · LITE

billxbf/ReWOO

Default branch main · commit 9cd02830 · scanned 6/16/2026, 6:13:26 AM

GitHub: 943 stars · 84 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 billxbf/ReWOO, 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
  • highreadme#1
    Add a concise, category-defining sentence to the README's opening

    Why:

    CURRENT
    # ReWOO 🦙
<p align="left">
  <a href="https://github.com/Gentopia-AI/Gentopia">Gentopia</a> 🦙🌎|
  <a href="https://huggingface.co/spaces/rewoo/ReWOO-Demo">Live Demo</a> |
  <a href="https://arxiv.org/abs/2305.18323">Paper</a> |
  <a href="https://twitter.com/billxbf/status/1663713374910251009?s=20">Twitter</a> 
</p>

⚠️ **Beaking News** The official (and better) implementation of ReWOO has been integrated into Gentopia.
    COPY-PASTE FIX
    # ReWOO 🦙
ReWOO is a novel paradigm for Augmented Language Models (ALMs) that decouples reasoning from observations, significantly improving the efficiency and speed of LLM-based agents by enabling foreseeable planning and tool orchestration.
<p align="left">
  <a href="https://github.com/Gentopia-AI/Gentopia">Gentopia</a> 🦙🌎|
  <a href="https://huggingface.co/spaces/rewoo/ReWOO-Demo">Live Demo</a> |
  <a href="https://arxiv.org/abs/2305.18323">Paper</a> |
  <a href="https://twitter.com/billxbf/status/1663713374910251009?s=20">Twitter</a> 
</p>

⚠️ **Beaking News** The official (and better) implementation of ReWOO has been integrated into Gentopia.
  • mediumhomepage#2
    Add the paper URL as the repository homepage

    Why:

    COPY-PASTE FIX
    https://arxiv.org/abs/2305.18323

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 billxbf/ReWOO
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
huggingface/transformers
Recommended in 4 of 2 queries
COMPETITOR LEADERBOARD
  1. huggingface/transformers · recommended 4×
  2. TimDettmers/bitsandbytes · recommended 1×
  3. microsoft/onnxruntime · recommended 1×
  4. pytorch/pytorch · recommended 1×
  5. NVIDIA TensorRT · recommended 1×
  • CATEGORY QUERY
    How to make my augmented language model agents run faster and more efficiently?
    you: not recommended
    AI recommended (in order):
    1. bitsandbytes (TimDettmers/bitsandbytes)
    2. ONNX Runtime (microsoft/onnxruntime)
    3. PyTorch 2.0 `torch.compile` (pytorch/pytorch)
    4. Hugging Face `transformers` library (huggingface/transformers)
    5. DistilBERT (huggingface/transformers)
    6. DistilRoBERTa (huggingface/transformers)
    7. NVIDIA TensorRT
    8. Llama.cpp (ggerganov/llama.cpp)
    9. FlashAttention / FlashAttention-2 (Dao-AILab/flash-attention)
    10. BERT-tiny (huggingface/transformers)
    11. phi-2
    12. TinyLlama (jzhang38/TinyLlama)
    13. Ray (ray-project/ray)
    14. DeepSpeed (microsoft/DeepSpeed)
    15. vLLM (vllm-project/vllm)
    16. NVIDIA GPUs
    17. TPUs (Tensor Processing Units)
    18. Cerebras
    19. Graphcore

    AI recommended 19 alternatives but never named billxbf/ReWOO. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are effective strategies for integrating tools with LLMs to enhance reasoning capabilities?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Function Calling
    2. LangChain
    3. LlamaIndex
    4. Haystack
    5. RAGatouille
    6. OpenAI Code Interpreter (Advanced Data Analysis)
    7. PythonREPLTool
    8. Jupyter Kernel Gateway
    9. Prolog
    10. Datalog
    11. Neo4j
    12. AutoGen
    13. CrewAI

    AI recommended 13 alternatives but never named billxbf/ReWOO. 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 billxbf/ReWOO?
    pass
    AI named billxbf/ReWOO explicitly

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

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

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

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billxbf/ReWOO — 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