RRepoGEO

REPOGEO REPORT · LITE

noahshinn/reflexion

Default branch main · commit 218cf0ef · scanned 5/18/2026, 11:12:37 PM

GitHub: 3,153 stars · 306 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 noahshinn/reflexion, 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 the README's opening to clearly state Reflexion's purpose

    Why:

    CURRENT
    # [NeurIPS 2023] Reflexion: Language Agents with Verbal Reinforcement Learning

This repo holds the code, demos, and log files for Reflexion: Language Agents with Verbal Reinforcement Learning by Noah Shinn, Federico Cassano, Edward Berman, Ashwin Gopinath, Karthik Narasimhan, Shunyu Yao.
    COPY-PASTE FIX
    # [NeurIPS 2023] Reflexion: Language Agents with Verbal Reinforcement Learning

Reflexion is a novel methodology for improving large language model (LLM) agent performance through verbal reinforcement learning, enabling them to self-reflect on and learn from past outputs and internal states. This repository provides the official code, demos, and log files for the NeurIPS 2023 paper 'Reflexion: Language Agents with Verbal Reinforcement Learning' by Noah Shinn et al.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://arxiv.org/abs/2305.15390
  • lowtopics#3
    Refine repository topics for better specificity

    Why:

    CURRENT
    ai, artificial-intelligence, llm
    COPY-PASTE FIX
    llm-agents, verbal-reinforcement-learning, self-correction, reasoning, neurips-2023, hotpotqa, leetcode

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 noahshinn/reflexion
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. DSPy · recommended 2×
  4. AutoGPT · recommended 2×
  5. BabyAGI · recommended 1×
  • CATEGORY QUERY
    How to improve large language model agent performance for complex reasoning tasks?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. DSPy
    4. AutoGPT
    5. BabyAGI
    6. OpenAI Function Calling
    7. CrewAI
    8. Hugging Face Transformers
    9. LangSmith
    10. Arize AI
    11. WhyLabs

    AI recommended 11 alternatives but never named noahshinn/reflexion. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks enable LLM agents to learn from their mistakes and self-correct?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGPT
    4. MetaGPT
    5. DSPy
    6. RLHF / DPO
    7. OpenAI Assistants API

    AI recommended 7 alternatives but never named noahshinn/reflexion. 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 noahshinn/reflexion?
    pass
    AI named noahshinn/reflexion explicitly

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

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

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

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noahshinn/reflexion — 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