LangChain's framework for building stateful, multi-actor applications with LLMs.

Key Features

  • Stateful agents
  • Cyclical workflows
  • Multi-actor
  • Persistence

Pros

  • Powerful for complex agents
  • LangChain integration
  • State management

Cons

  • Learning curve
  • Overkill for simple use cases

Best Use Cases

Complex agentsMulti-step workflowsConversational AI