LangGraph Deep Agents Starter

Example Use Cases

• 1

  Complex multi-step task planning and tool usage with long-term memory.

• 2

  Real-time streaming responses with dynamic generative UI components.

• 3

  Kubernetes-native deployment with hot reloading and multi-service architecture.

Description

This project provides a full-stack template combining a Python FastAPI backend using LangChain Deep Agents for intelligent agent orchestration and a Next.js frontend with CopilotKit for dynamic generative UIs. It demonstrates real-time tool calling with custom UI components through a weather assistant example. The infrastructure supports Kubernetes deployment with Skaffold for streamlined local development and hot reloading.