REPOGEO REPORT · LITE

von-development/awesome-LangGraph

Default branch main · commit 5908ce73 · scanned 6/18/2026, 6:42:55 AM

GitHub: 1,865 stars · 226 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

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

highhomepage#1
Add a homepage URL to the repository's About section
Why:
COPY-PASTE FIX
```
https://github.com/von-development/awesome-LangGraph
```

mediumreadme#2

Refine README's opening to emphasize its curated 'awesome list' identity

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 is the definitive, community-curated **awesome list** for the LangChain + LangGraph ecosystem, indexing frameworks, templates, and real-world projects for teams building, observing, evaluating, and deploying stateful, tool-using AI agents.

lowtopics#3

Expand topics to include key lifecycle stages mentioned in README

Why:

CURRENT

ai, awesome, awesome-list, langchain, langgraph, llm, llm-agents

COPY-PASTE FIX

ai, awesome, awesome-list, langchain, langgraph, llm, llm-agents, llm-observability, llm-evaluation, llm-deployment

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

Of all named tools, what % are you?

Top rival

LangChain

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

LangChain · recommended 2×
LlamaIndex · recommended 2×
Awesome-LLM-Agents · recommended 1×
Hugging Face · recommended 1×
AgentVerse · recommended 1×

CATEGORY QUERY
Where can I find a comprehensive index of tools for building and deploying LLM agents?
you: not recommended
AI recommended (in order):
1. Awesome-LLM-Agents
2. LangChain
3. LlamaIndex
4. Hugging Face
5. AgentVerse
6. OpenAI
7. Google AI Studio / Vertex AI
AI recommended 7 alternatives but never named von-development/awesome-LangGraph. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What resources exist for observing, evaluating, and deploying advanced AI agent applications?
you: not recommended
AI recommended (in order):
1. LangChain
2. LangSmith
3. Arize AI
4. Phoenix
5. Weights & Biases
6. W&B Prompts
7. MLflow
8. OpenTelemetry
9. Jaeger
10. Grafana
11. Datadog
12. LlamaIndex
13. LlamaHub
14. LlamaPack
AI recommended 14 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?

Embed your GEO score

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Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/von-development/awesome-LangGraph.svg)](https://repogeo.com/en/r/von-development/awesome-LangGraph)

HTML

<a href="https://repogeo.com/en/r/von-development/awesome-LangGraph"><img src="https://repogeo.com/badge/von-development/awesome-LangGraph.svg" alt="RepoGEO" /></a>

Pro

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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