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LangGraph

LangGraph

Framework for building stateful, controllable AI agents

FreeAI AgentsOpen Source7 impressions

Control agent workflows with LangGraph: durable execution, memory, streaming, and human-in-the-loop.

LangGraph is an open-source framework for building stateful, controllable AI agents with memory, streaming, and human-in-the-loop support.

for
Developers building complex, production-grade AI agents
pricing
open source
license
MIT
langchain-ai/langgraph 43k 7.2kPythonupdated 4 days ago

Key features

6 features of LangGraph
  • Human-in-the-loop controls — Add moderation and approval steps to keep agents on track.
  • Expressive workflow primitives — Create single, multi-agent, or hierarchical flows with low-level building blocks.
  • Persistent memory stores — Maintain conversation history and context across sessions.
  • Token-by-token streaming — Stream agent reasoning and actions in real time for better UX.
  • Model-agnostic runtime — Run agents with any LLM provider using high-level or fine-grained APIs.
  • Open-source MIT license — Free to use and modify without licensing fees.

Use cases

  • Customer support bots that need to remember prior interactions
  • Complex task automation across multiple AI services
  • Interactive assistants that require real-time feedback and approvals
  • Multi-agent workflows for data extraction and processing

LangGraph vs alternatives

LangGraphLangChainCrewAIMastra
Best forCustomizable stateful agent orchestrationGeneral LLM app developmentMulti-agent platformTypeScript AI agents
PricingOpen sourceFreeSubscriptionFree
DevHunt upvotes0000
Launched————
  • LangGraph vs LangChain: LangChain is a broader LLM app framework; LangGraph focuses specifically on agent orchestration.
  • LangGraph vs CrewAI: CrewAI provides a platform for multi-agent systems, whereas LangGraph is a low-level library for building them.
  • LangGraph vs Mastra: Mastra is a TypeScript framework for AI agents; LangGraph is a low-level orchestration library for Python and JavaScript.

LangGraph FAQ

Is LangGraph open source and free?+

Yes, LangGraph is released under the MIT license and can be used at no cost.

Does LangGraph add performance overhead?+

No, it is designed to have no additional overhead and works with streaming workflows.

How does LangGraph differ from other agent frameworks?+

It offers a more expressive, low-level API for complex, company-specific tasks without forcing a single black-box architecture.

Can I use any LLM provider with LangGraph?+

Yes, the framework works with any model provider, letting you choose high-level abstractions or fine-grained control.

Summarized by DevHunt from langchain.com · Oct 1, 2026. Details may change; check the official site.

About this listing

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