LangGraph

Build stateful, multi-step AI agent workflows with LangChain's powerful graph-based framework.

Freemium 💻 Development & Coding LangGraphLangChainPythonGPT-4ClaudeOpenAI APIAnthropic API #agent framework#LangChain#open source#Python#workflow#stateful agent#graph
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About LangGraph

LangGraph is an open-source library built on LangChain for creating stateful, multi-actor AI applications. It models agent workflows as graphs where nodes represent computation steps and edges define transitions. This makes it ideal for complex agentic workflows with loops, conditionals, human-in-the-loop checkpoints, and persistent state. LangGraph powers many production AI agent deployments.

Use Cases

1

Build complex multi-step AI pipelines with cycles

2

Implement human-in-the-loop approval workflows

3

Create persistent agent state across conversations

4

Develop customer service routing systems

5

Build research and retrieval-augmented agents

Key Features

Graph-based workflow definition
Persistent state management
Human-in-the-loop checkpoints
Streaming support for real-time output
LangSmith integration for observability

Pricing

Freemium

Open source library is free. LangSmith Cloud for observability has paid tiers.