REPOGEO REPORT · LITE

langchain-ai/langgraphjs

Default branch main · commit bee3c91d · scanned 6/19/2026, 5:21:38 AM

GitHub: 3,024 stars · 508 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

27 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 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 langchain-ai/langgraphjs, 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 the README H3 to emphasize graph-based control flow for agents

Why:

CURRENT

<div align="center"><h3>Low-level orchestration framework for building stateful agents.</h3></div>

COPY-PASTE FIX

<div align="center"><h3>A declarative framework for building stateful, graph-based AI agents with complex control flow.</h3></div>

mediumtopics#2

Add more specific topics related to graph-based agent orchestration

Why:

CURRENT

agents, ai, artificial-intelligence, generative-ai, llm, node, typescript

COPY-PASTE FIX

agents, ai, artificial-intelligence, generative-ai, llm, node, typescript, graph-based-agents, stateful-agents, agent-orchestration, llm-control-flow

lowreadme#3

Clarify the 'Deep Agents' tip to reinforce LangGraph's foundational role

Why:

CURRENT

> [!TIP]
> If you're looking to quickly build agents, check out **Deep Agents** — a higher-level package built on LangGraph for agents that can plan, use subagents, and leverage file systems for complex tasks.

COPY-PASTE FIX

> [!TIP]
> For a higher-level experience building agents that can plan, use subagents, and leverage file systems, consider **Deep Agents** — a package built on LangGraph that leverages its powerful orchestration capabilities.

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/langgraphjs

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

LangChain

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

LangChain · recommended 1×
LlamaIndex · recommended 1×
Microsoft Semantic Kernel · recommended 1×
Haystack · recommended 1×
OpenAI Assistants API · recommended 1×

CATEGORY QUERY
How to build robust AI agents with state management and complex control flow?
you: not recommended
AI recommended (in order):
1. LangChain
2. LlamaIndex
3. Microsoft Semantic Kernel
4. Haystack
5. OpenAI Assistants API
6. AutoGPT
7. BabyAGI
AI recommended 7 alternatives but never named langchain-ai/langgraphjs. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What framework helps orchestrate multi-step LLM agents with human intervention in TypeScript?
you: not recommended
AI recommended (in order):
1. LangChain.js
2. LlamaIndex.TS
3. Autogen
4. NestJS
5. TypeChat
AI recommended 5 alternatives but never named langchain-ai/langgraphjs. This is the gap to close.
Show full AI answer

Objective checks

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

Metadata completeness
pass
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/langgraphjs?
pass
AI did not name langchain-ai/langgraphjs — 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 langchain-ai/langgraphjs in production, what risks or prerequisites should they evaluate first?
pass
AI named langchain-ai/langgraphjs 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/langgraphjs solve, and who is the primary audience?
pass
AI did not name langchain-ai/langgraphjs — 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?

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MARKDOWN (README)

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HTML

<a href="https://repogeo.com/en/r/langchain-ai/langgraphjs"><img src="https://repogeo.com/badge/langchain-ai/langgraphjs.svg" alt="RepoGEO" /></a>

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langchain-ai/langgraphjs — 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