RRepoGEO

REPOGEO REPORT · LITE

von-development/awesome-LangGraph

Default branch main · commit 78a16bf7 · scanned 5/8/2026, 3:03:19 PM

GitHub: 1,772 stars · 192 forks

AI VISIBILITY SCORE
28 /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
2 / 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 von-development/awesome-LangGraph, 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 sentence to emphasize discovery utility

    Why:

    CURRENT
    The definitive index of frameworks, templates, and real-world projects for teams that want to **build, observe, evaluate, and deploy** stateful, tool-using AI agents with the LangChain + LangGraph stack.
    COPY-PASTE FIX
    This definitive index is your essential starting point for discovering and navigating the frameworks, templates, and real-world projects needed to **build, observe, evaluate, and deploy** stateful, tool-using AI agents with the LangChain + LangGraph stack.
  • mediumhomepage#2
    Add repository URL as homepage

    Why:

    COPY-PASTE FIX
    https://github.com/von-development/awesome-LangGraph
  • mediumtopics#3
    Add 'llm-development' to repository topics

    Why:

    CURRENT
    ai, awesome, awesome-list, langchain, langgraph, llm, llm-agents
    COPY-PASTE FIX
    ai, awesome, awesome-list, langchain, langgraph, llm, llm-agents, llm-development

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 von-development/awesome-LangGraph
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. Haystack · recommended 1×
  4. AgentVerse · recommended 1×
  5. AutoGen · recommended 1×
  • CATEGORY QUERY
    What are the best frameworks for developing stateful, tool-using AI agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AgentVerse
    5. AutoGen
    6. CrewAI
    7. Marvin

    AI recommended 7 alternatives but never named von-development/awesome-LangGraph. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find comprehensive resources for building and deploying LLM agent systems?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Microsoft AutoGen (microsoft/autogen)
    4. OpenAI Assistants API
    5. Haystack (deepset-ai/haystack)
    6. Hugging Face Transformers Agents (huggingface/transformers)
    7. Google Cloud Vertex AI Agent Builder

    AI recommended 7 alternatives but never named von-development/awesome-LangGraph. 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 von-development/awesome-LangGraph?
    pass
    AI did not name von-development/awesome-LangGraph — likely talking about a different project

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

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

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

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von-development/awesome-LangGraph — 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