Affiliate link. Joute earns a commission at no extra cost to you. Our verdict stays independent.
Le cron de tracking demarre lundi prochain a 6h UTC. Joute scrape hebdomadairement les pricing pages de cet outil et trace les variations sur 12 mois.
Donnees disponibles des la premiere capture. Revenez lundi.
LangGraph in brief
The go-to framework for stateful AI agents, powerful but demanding in terms of the learning curve.
- PriceFree (open source)
- CategoryAgents IA
- RecommendedYes
The essentials
- Python and JavaScript framework for building AI agents with explicit state management
- Free open source, LangGraph Platform cloud is paid
- Maintained by the LangChain team, native integration with LangSmith for observability
- Requires solid knowledge of LLMs and programming
What is LangGraph?
LangGraph is an agent orchestration framework that models workflows as directed graphs with state. Each node is a function or an agent, each edge is a conditional transition. This approach lets you build complex agents with loops, branches and persistent memory between steps. It's lower-level than CrewAI but far more flexible for advanced use cases.
Strengths
Fine-grained control over execution flow
LangGraph gives you full control over what the agent does at each step. No hidden magic. If you want a precise behavior, you can implement it.
Native state management
Agent state persists between steps and can be checkpointed. This is essential for long workflows or agents that need to resume after an error.
Observability with LangSmith
The LangSmith integration lets you trace every step, see inputs and outputs for each node and debug unexpected behaviors. Essential in production.
Limits
Steep learning curve
LangGraph requires understanding directed graphs, state management and agent patterns. It's not a tool for getting started with agentic AI.
Verbose for simple cases
For a simple workflow, LangGraph is overkill. CrewAI or Lindy are better suited if you don't need fine-grained control.
Pricing
Free open source framework. LangGraph Platform (cloud, with persistence and scaling) is paid based on usage. Check langchain.com for the current pricing grid.
Alternatives
LangGraph = stateful agents, maximum control. Alternative CrewAI (crewai.com) = free, more accessible, less flexible. Alternative Mastra (mastra.ai) = TypeScript equivalent, same philosophy of fine-grained control.
Verdict
LangGraph is the choice for teams that want to build robust production agents with complex business logic. If you already have experience with LangChain and need to build serious agentic workflows, this is the tool to master. For a first agentic project, start with CrewAI.
FAQ
Is LangGraph different from LangChain?
LangChain is a general framework for LLM applications. LangGraph is a specialized layer for stateful agentic workflows. The two are complementary.
Can you use LangGraph with models other than OpenAI?
Yes, LangGraph supports all LangChain-compatible LLMs: Claude, Gemini, Mistral, Llama, etc.
Is there a managed version?
LangGraph Platform offers cloud deployment with state persistence and scaling. Paid based on usage.
LangGraph or CrewAI for a first project?
CrewAI for a first project. LangGraph when you have fine-grained control needs that CrewAI can't cover.
Joute may earn a commission on subscriptions taken out via links in this article. This doesn't change our reviews.
Screenshots LangGraph
6
LangGraph : 0/10.
The go-to framework for stateful AI agents, powerful but demanding in terms of the learning curve..
Test LangGraph yourself
A free trial is available. Plan thirty minutes to form your own opinion.
Affiliate link. Joute earns a commission at no extra cost to you. Our verdict stays independent.
LangGraph
Free (open source)