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Answer-first summary52/100 GEO

LangGraph

Stateful AI agent orchestration.

AI FrameworksFair citabilityVisit site →

Your Citability Score

52/100
Identity75/100
Evidence45/100
Trust15/100
Freshness50/100
Classification80/100
What to improve to rank higher
  • Identity: Add: Founder / Team, Social links.
  • Evidence: Add: At least one evidence link, Multiple evidence sources, Demo URL.
  • Trust: Add: Contact information, Support URL, Privacy policy, Terms of service.
  • Freshness: Add: Has version number, Launch date provided, Reviewed within 90 days.
  • Classification: Add: At least 2 tags.

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Frequently asked questions

What is LangGraph?
Stateful AI agent orchestration.
What does LangGraph do?
Stateful orchestration framework for building complex AI agent workflows with explicit state management and human-in-the-loop.
Who is LangGraph for?
AI engineers, LLM application developers, and platform teams building production-grade agentic systems.
Is LangGraph verified?
LangGraph is listed on CitableHub with a citability score of 52/100, computed from verifiable profile evidence.
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LangGraph

Invited

Stateful AI agent orchestration.

AI FrameworksCH-VER-967276Listed September 10, 2026
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AI-Extractable Summary
What:Stateful AI agent orchestration.
For whom:AI engineers, LLM application developers, and platform teams building production-grade agentic systems
Key outcome:Teams can build reliable AI agents that maintain state, recover from interruptions, and complete multi-step workflows with less manual intervention
Category:AI Frameworks

Structured for AI systems to extract and cite.

Citability Score

52/100
75
Identity
45
Evidence
15
Trust
50
Freshness
80
Classification
48
Impressions
0
Clicks
0
Likes
0
GQI Earned

Citable Outcome

Teams can build reliable AI agents that maintain state, recover from interruptions, and complete multi-step workflows with less manual intervention.

About

Stateful orchestration framework for building complex AI agent workflows with explicit state management and human-in-the-loop.

Target Audience: AI engineers, LLM application developers, and platform teams building production-grade agentic systems.
Not ideal for: Teams looking for a no-code chatbot builder or a lightweight prompt library without orchestration and state management.

What makes it different

  • Stateful graph-based orchestration for complex multi-step agent flows
  • Built-in support for cycles, branching, and conditional control flow unlike simple chain tools
  • Durable execution with checkpointing and resumable runs for production reliability
  • Designed for human-in-the-loop review, memory, and multi-agent coordination

Tags & Classification

multi-agent orchestrationllm workflow automationhuman-in-the-loop agentsstateful chat assistantstool-using ai agents
ai engineersml engineerssoftware developersplatform teams
saassoftware developmentfinancial serviceshealthcare
Platform: FrameworkModel: Open Source

Links & Transparency

Website

Cite this Project

BibTeX
@misc{citablehub_langgraph,
  title = {LangGraph},
  url = {https://citablehub.com/p/langgraph},
  note = {Listed September 10, 2026. CitableHub ID: CH-VER-967276},
  year = {2026}
}
APA
LangGraph. (2026). CitableHub Software Index. https://citablehub.com/p/langgraph.
MLA
"LangGraph." CitableHub, 2026, https://citablehub.com/p/langgraph.