langchain-ai/langgraph-swarm-py

Health v2 · maintenance only

Adoption not part of the score

1558 stars · 221 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python library for building swarm-style multi-agent systems on top of LangGraph, where specialized agents dynamically hand off control to one another. It provides handoff tools, active-agent memory, and integrates with LangGraph's streaming, persistence, and human-in-the-loop features.

Use cases

• build a multi-agent system where agents hand off to each other
• create specialized LLM agents that collaborate on tasks
• route conversations between expert agents based on user intent
• remember which agent was last active across conversation turns
• add human-in-the-loop and memory to a multi-agent workflow

When to choose

• you already use LangGraph and want a swarm-style multi-agent architecture
• you need dynamic agent-to-agent handoffs with conversation state persistence
• you want streaming, memory, and human-in-the-loop support out of the box

When to avoid

• you need a single-agent pipeline without handoffs
• you don't want a dependency on the LangGraph/LangChain ecosystem
• you need a non-Python or framework-agnostic multi-agent solution

Facets

library · maturity active

agent-framework llm-inference workflow-automation large-language-models artificial-intelligence python multi-agent swarm handoff langgraph llm-orchestration ai-agents

Member repositories

For agents

markdown · JSON · MCP: product_card(name="langchain-ai/langgraph-swarm-py")