RRepoGEO

REPOGEO REPORT · LITE

langchain-ai/langgraph-codeact

Default branch main · commit de14f16f · scanned 6/13/2026, 1:52:03 PM

GitHub: 733 stars · 76 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 langchain-ai/langgraph-codeact, 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
  • highabout#1
    Add a concise description to the About section

    Why:

    COPY-PASTE FIX
    Build robust AI agents that orchestrate multiple tools and retain execution state using the CodeAct architecture in LangGraph, offering an alternative to traditional JSON function-calling for complex tasks.
  • mediumreadme#2
    Reposition the README's first sentence to be problem-solution focused

    Why:

    CURRENT
    This library implements the CodeAct architecture in LangGraph.
    COPY-PASTE FIX
    Solve complex AI agent tasks requiring tool orchestration and state retention with `langgraph-codeact`, an implementation of the CodeAct architecture in LangGraph that offers a powerful alternative to traditional JSON function-calling.

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 langchain-ai/langgraph-codeact
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. Haystack · recommended 2×
  4. Microsoft Semantic Kernel · recommended 2×
  5. AutoGPT · recommended 1×
  • CATEGORY QUERY
    How to build AI agents that orchestrate multiple tools without traditional function calling?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGPT
    5. Microsoft Semantic Kernel
    6. Custom Python Scripting

    AI recommended 6 alternatives but never named langchain-ai/langgraph-codeact. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need an AI agent framework retaining execution state and variables for advanced conversational tasks.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Microsoft Semantic Kernel
    4. Haystack
    5. AgentVerse

    AI recommended 5 alternatives but never named langchain-ai/langgraph-codeact. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 langchain-ai/langgraph-codeact?
    pass
    AI named langchain-ai/langgraph-codeact explicitly

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

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

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

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MARKDOWN (README)
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  • Brand-free category queries5 vs 2 in Lite
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