langchain-ai/langgraph-supervisor-py

Health v2 · maintenance only

Adoption not part of the score

1646 stars · 256 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 hierarchical multi-agent systems on top of LangGraph, where a central supervisor agent orchestrates and delegates tasks to specialized agents via tool-based handoffs. It supports streaming, memory, and human-in-the-loop workflows, though the maintainers now recommend the manual supervisor pattern for most use cases.

Use cases

• orchestrate multiple specialized AI agents with a supervisor
• build a hierarchical multi-agent system in Python
• delegate tasks between LLM agents automatically
• route user requests to the right expert agent
• coordinate research and math agents in one workflow
• add human-in-the-loop approval to multi-agent pipelines

When to choose

• you already use LangGraph and want a ready-made supervisor orchestration layer
• you need hierarchical agent coordination with tool-based handoffs
• you're maintaining an existing codebase built on this library and upgrading to LangChain 1.0

When to avoid

• you're starting a new project - the maintainers recommend implementing the supervisor pattern directly via tools
• you need fine-grained control over context engineering that a library abstraction would hide
• your use case involves only a single agent

Facets

library · maturity maintenance

agent-framework llm-inference workflow-automation artificial-intelligence large-language-models python multi-agent supervisor-pattern langgraph orchestration hierarchical-agents ai-agents

Member repositories

For agents

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