RRepoGEO

REPOGEO REPORT · LITE

ysymyth/ReAct

Default branch master · commit 6bdb3a1f · scanned 5/24/2026, 12:32:58 AM

GitHub: 3,845 stars · 373 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 ysymyth/ReAct, 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's opening to emphasize ReAct as a foundational LLM agent pattern

    Why:

    CURRENT
    # ReAct Prompting

GPT-3 prompting code for ICLR 2023 paper ReAct: Synergizing Reasoning and Acting in Language Models.
    COPY-PASTE FIX
    # ReAct: Synergizing Reasoning and Acting in Language Models

This repository provides the official reference implementation for ReAct, a foundational prompting pattern that enables large language models to perform complex, multi-step tasks by synergizing reasoning (R) and acting (Act) with external tools.
  • mediumreadme#2
    Clarify ReAct's relationship with LangChain in the README

    Why:

    CURRENT
    To use ReAct for more tasks, consider trying LangChain's zero-shot ReAct Agent.
    COPY-PASTE FIX
    This repository provides the original research implementation of the ReAct pattern. For broader application and integration into larger systems, popular frameworks like LangChain have adopted and implemented ReAct agents.
  • lowhomepage#3
    Add the paper's arXiv link as the repository homepage

    Why:

    COPY-PASTE FIX
    https://arxiv.org/abs/2210.03629

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 ysymyth/ReAct
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GPT-4
Recommended in 5 of 2 queries
COMPETITOR LEADERBOARD
  1. GPT-4 · recommended 5×
  2. Claude 3 Opus · recommended 4×
  3. Gemini 1.5 Pro · recommended 3×
  4. LangChain · recommended 2×
  5. LlamaIndex · recommended 2×
  • CATEGORY QUERY
    How to improve large language model performance by integrating reasoning with action steps?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Hugging Face Transformers Agents
    4. Microsoft Guidance
    5. DSPy
    6. AutoGPT
    7. BabyAGI

    AI recommended 7 alternatives but never named ysymyth/ReAct. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are effective prompting strategies for LLMs to handle complex multi-step decision-making?
    you: not recommended
    AI recommended (in order):
    1. GPT-4
    2. Claude 3 Opus
    3. Gemini 1.5 Pro
    4. GPT-4
    5. Claude 3 Opus
    6. Llama 3 70B
    7. GPT-4
    8. Claude 3 Opus
    9. Gemini 1.5 Pro
    10. GPT-4
    11. Claude 3 Sonnet
    12. Mistral Large
    13. GPT-4
    14. Gemini 1.5 Pro
    15. Claude 3 Opus
    16. GPT-4 with Function Calling
    17. Gemini 1.5 Pro with Function Calling
    18. Claude 3 Opus with Tool Use
    19. Llama 3 70B
    20. LangChain
    21. LlamaIndex

    AI recommended 21 alternatives but never named ysymyth/ReAct. 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 ysymyth/ReAct?
    pass
    AI named ysymyth/ReAct explicitly

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

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

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

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ysymyth/ReAct — 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