RRepoGEO

REPOGEO REPORT · LITE

xingyaoww/code-act

Default branch main · commit d607f56c · scanned 5/23/2026, 2:53:10 PM

GitHub: 1,656 stars · 138 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 xingyaoww/code-act, 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 opening to clarify project type

    Why:

    CURRENT
    We propose to use executable **code** to consolidate LLM agents’ **act**ions into a unified action space (**CodeAct**).
    COPY-PASTE FIX
    This repository is the official implementation of **CodeAct**, a novel LLM agent architecture and research project that proposes to use executable **code** to consolidate LLM agents’ **act**ions into a unified action space.
  • hightopics#2
    Add specific topics to differentiate from generic LLM frameworks

    Why:

    CURRENT
    llm, llm-agent, llm-finetuning, llm-framework
    COPY-PASTE FIX
    llm, llm-agent, llm-agent-architecture, code-execution-agent, agent-action-space, research-project, icml-2024
  • mediumhomepage#3
    Add the paper's arXiv link as the repository homepage

    Why:

    COPY-PASTE FIX
    https://arxiv.org/abs/2402.01030

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 xingyaoww/code-act
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. CrewAI · recommended 2×
  4. Haystack · recommended 2×
  5. OpenAI Assistants API · recommended 1×
  • CATEGORY QUERY
    How to build LLM agents that execute code and adapt actions dynamically?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI Assistants API
    4. AutoGPT
    5. BabyAGI
    6. CrewAI
    7. Haystack

    AI recommended 7 alternatives but never named xingyaoww/code-act. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Framework for developing LLM agents with integrated code execution and finetuning capabilities?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGen
    5. CrewAI
    6. Transformers Agents

    AI recommended 6 alternatives but never named xingyaoww/code-act. 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 xingyaoww/code-act?
    pass
    AI named xingyaoww/code-act explicitly

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

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

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

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xingyaoww/code-act — 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