RRepoGEO

REPOGEO REPORT · LITE

vonzosten/awesome-LangGraph

Default branch main · commit 862c31f5 · scanned 5/20/2026, 2:43:01 PM

GitHub: 1,800 stars · 204 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
22 /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
1 / 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 vonzosten/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 opening to emphasize discovery

    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
    > **Start here to discover** 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.
  • mediumabout#2
    Add a homepage URL to the About section

    Why:

    COPY-PASTE FIX
    https://github.com/vonzosten/awesome-LangGraph
  • lowtopics#3
    Add 'llm-ecosystem-guide' to 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-ecosystem-guide

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 vonzosten/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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. AutoGen · recommended 1×
  4. CrewAI · recommended 1×
  5. Haystack · recommended 1×
  • CATEGORY QUERY
    Where can I find frameworks and tools for building robust LLM-powered multi-agent applications?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGen
    3. LlamaIndex
    4. CrewAI
    5. Haystack
    6. Mirasol
    7. OpenAI Assistants API

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

    Show full AI answer
  • CATEGORY QUERY
    What resources are available for the full lifecycle of AI agent development, from building to deployment?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Hugging Face Transformers
    4. Accelerate
    5. Weights & Biases
    6. MLflow
    7. Kubernetes
    8. Kubeflow
    9. Ray

    AI recommended 9 alternatives but never named vonzosten/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 vonzosten/awesome-LangGraph?
    pass
    AI did not name vonzosten/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 vonzosten/awesome-LangGraph in production, what risks or prerequisites should they evaluate first?
    pass
    AI named vonzosten/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 vonzosten/awesome-LangGraph solve, and who is the primary audience?
    pass
    AI did not name vonzosten/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?

Embed your GEO score

Drop this badge into the README of vonzosten/awesome-LangGraph. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/vonzosten/awesome-LangGraph.svg)](https://repogeo.com/en/r/vonzosten/awesome-LangGraph)
HTML
<a href="https://repogeo.com/en/r/vonzosten/awesome-LangGraph"><img src="https://repogeo.com/badge/vonzosten/awesome-LangGraph.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

vonzosten/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