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LangGraph

Invited

Stateful AI agent orchestration.

AI FrameworksCH-VER-967276Listed June 12, 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

49/100
60
Identity
45
Evidence
15
Trust
50
Freshness
80
Classification
2
Impressions
0
Clicks
0
Saves
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 June 12, 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.