langchain-multiagent

What problem does it solve?

This resource provides structured patterns and examples to orchestrate multi-agent workflows in LangChain, enabling scalable coordination through subagents, handoffs, skills, routers, and custom workflows.

Core Features & Use Cases

• Reusable patterns: Subagents (supervisor), Handoffs, Skills, Router, and Custom Workflow to address common multi-agent scenarios.
• Use cases: Build modular agent architectures, implement agent handoffs in complex dialogues, dynamically load skills for specialized tasks, route queries by classification, and orchestrate end-to-end RAG-like workflows.
• Real-world example: Coordinate a team of specialized agents to research, summarize, and respond to user queries with consistent context management.

Quick Start

Start by inspecting the Subagents and Router sections to scaffold a basic multi-agent workflow and incrementally add handoffs and skills as needed.