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langgraph

Free

Build resilient language agents as graphs.

AI ChatbotsFreeFree tier
Inputs: textOutputs: text
Starting Price
Free
Type
Open Source
Company
LangChain Inc.
Visit Website GitHub (31.1k stars)

About langgraph

LangGraph is a low-level orchestration framework and runtime for building, managing, and deploying long-running, stateful language agents as graphs. Developed by LangChain, it provides fine-grained control over agent workflows, enabling developers to design agents that reliably handle complex, multi-step tasks. LangGraph focuses on core orchestration capabilities such as durable execution, streaming, human-in-the-loop interactions, and persistence. It is part of a broader LangChain ecosystem that includes LangChain (agent framework), Deep Agents (agent harness), and LangSmith (tracing, evaluation, and deployment platform). LangGraph is open source and can be used independently of LangChain, though it commonly integrates with LangChain components for models and tools. The framework is trusted by companies like Klarna, Uber, and J.P. Morgan for production agent systems.

Key Features

Graph-based agent orchestration for complex, stateful workflows
Durable execution for long-running agents
Streaming support for real-time agent output
Human-in-the-loop capabilities for agent supervision
Persistence and state management across agent runs
Low-level control over agent logic and transitions
Integration with LangChain components for models and tools
Open source with MIT license

Pros & Cons

Pros
  • Open source and free to use
  • Provides fine-grained control over agent orchestration
  • Supports durable execution and state persistence
  • Integrates well with LangChain ecosystem but can be used independently
  • Active development and community support via GitHub
  • Trusted by large enterprises for production use
Cons
  • Requires familiarity with graph-based programming concepts
  • Lower-level than higher-level agent frameworks, may have steeper learning curve
  • Documentation recommends prior knowledge of models and tools
  • Free tier usage limits (if any) should be verified on official site
  • Primarily focused on Python; other language support may be limited

Best For

Building multi-step reasoning agents that require state persistenceDeploying long-running agents for customer support or data processingCreating agents with human oversight and approval workflowsDeveloping complex tool-calling loops with fine-grained controlOrchestrating subagents and planning tasks in a graph structurePrototyping and productionizing agent systems with durable execution

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FAQ

Is LangGraph free to use?
LangGraph is open source and appears to be free to use. Specific licensing details can be found on its GitHub repository.
Do I need to use LangChain to use LangGraph?
No, LangGraph can be used independently of LangChain, though it commonly integrates with LangChain components for models and tools.
What programming languages does LangGraph support?
Based on available information, LangGraph is primarily available for Python. Support for other languages should be verified on the official documentation.
Can LangGraph handle long-running agents?
Yes, LangGraph is designed for building and managing long-running, stateful agents with durable execution and persistence.
Does LangGraph support human-in-the-loop workflows?
Yes, human-in-the-loop capabilities are a core feature of LangGraph, allowing for agent supervision and approval.