LangGraph is LangChain's framework for building stateful, multi-actor AI applications with controllable agent workflows, cycles, and human-in-the-loop support.
Build stateful, multi-actor AI applications. LangChain's framework for creating controllable, production-ready agent workflows with cycles and human-in-the-loop support.
LangGraph holds a HookFlow heat score of 50/100 in AI Coding Agents, computed from live Reddit, GitHub, Product Hunt and search signals. Over the last 7 days its score moved +18 points (up), +16 over 30 days. On the Lock-In Index it scores 100/100 (high lock-in, with significant switching cost).
0–100 viral momentum index combining social buzz, search trends & growth velocity
Computed from 5 live sources in the latest pipeline run — more sources, higher confidence.
LangGraph is used to build stateful, multi-actor AI applications with production-ready agent workflows. It enables developers to create controllable workflows that support cycles and human intervention.
Yes, LangGraph includes built-in support for human-in-the-loop functionality, allowing you to pause workflows and incorporate human input during execution.
LangGraph is LangChain's framework for AI agent development and workflow orchestration.
LangGraph is free to use.
A.R.C. ratings are calculated for developer infrastructure and API-first tools. This tool hasn't been evaluated yet or falls outside the A.R.C. scope.
Lower = more portable. 0 = fully open, 100 = maximum lock-in.
GitHub health score, founder track record, full A.R.C. breakdown, category peer comparison, and 14-day score forecast — in one printable report.
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