langgraph-multi-agent

Build multi-agent systems with LangGraph by implementing orchestration patterns like supervisor, swarm, and hierarchical structures to coordinate specialized sub-agents. This enables dynamic task delegation and complex agentic workflows.

Agent-to-agent messaging and state isolation in LangGraph function through command-based routing and sub-agent invocation. This allows specialized agents to communicate results or hand off control while maintaining distinct internal states.

The supervisor pattern for multi-agent orchestration involves a central supervisor agent delegating tasks to specialized sub-agents, such as a researcher or coder, which then communicate results back to form a cohesive workflow.

Yes, LangGraph supports hierarchical team structures and dynamic routing through command-based sub-agent invocation. You can create complex agentic workflows where agents hand off control to each other dynamically.

Delegate tasks to specialized sub-agents by adopting the swarm or supervisor orchestration patterns in LangGraph. This approach facilitates dynamic task delegation, allowing agents to route commands and hand off control seamlessly.

Use swarm patterns for direct agent-to-agent handoffs, and hierarchical patterns when a supervisor manages sub-agents. LangGraph provides clear examples for both, allowing you to choose based on your workflow complexity.