Multi-agent swarms with LangGraph

Swarms are one architecture for multi-agent systems, giving each agent the ability to interact with users and handoff requests between one another. This video provides an overview of a new LangGraph library that makes it easy to set up multi-agent swarms, and discusses some of the differences between swamps and supervisor architecture. Repo: https://github.com/langchain-ai/langgraph-swarm-py Chapters: 00:00 - Introduction to Multi-Agent Swarms 00:25 - Swarm Architecture Overview 00:45 - Demonstration in LangGraph Studio 01:20 - Agent Handoff Capabilities 02:00 - Swarm vs. Supervisor Architecture 02:45 - Key Differences Between Architectures 03:25 - When to Use Each Architecture 03:45 - Swarm System Diagram Walkthrough 04:15 - Code Implementation 04:45 - Creating Handoff Tools 05:15 - Checkpointers for State Management 05:40 - Running the Example System 06:15 - Flight to Hotel Assistant Handoff 07:00 - Tracing in Langsmith 07:45 - Thread Continuity Across Handoffs 08:30 - Message History Transfer 09:15 - Alternative Handoff Implementations 09:40 - Conclusion and Architecture Compariso