langgraph-multiagent

Architect multi-agent systems with LangGraph v1+ and LangChain v1+.

5|Updated Jan 26, 2026

Search Tags:#audit #langchain #migration #multi-agent #langgraph

Ready to run

npx skills add https://github.com/BjornMelin/dev-skills --skill langgraph-multiagent

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: langgraph-multiagent
Source: https://github.com/BjornMelin/dev-skills/tree/main/skills/langgraph-multiagent
Command: npx skills add https://github.com/BjornMelin/dev-skills --skill langgraph-multiagent

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve?

Architect-level guidance for building, auditing, and migrating multi-agent systems using LangGraph (v1+) and LangChain (v1+). It helps teams modernize supervisor/subagent architectures, orchestrator/worker workflows, routing/hand-offs, memory, guardrails, MCP integrations, and observability while migrating away from deprecated patterns and libraries.

Core Features & Use Cases

Architect the end-to-end multi-agent graph design, including memory and observability integration.
Audit, migrate, and de-risk legacy patterns to LangChain v1+ patterns with middleware-friendly hooks and tooling.
Plan, document, and ship migrations with concrete steps and evidence-based guidance.

Quick Start

Provide a migration plan for an existing LangGraph-based multi-agent project.

Frequently Asked Questions about langgraph-multiagent

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I migrate a multi-agent system to LangGraph v1+ and LangChain v1+?▼

Migrate multi-agent systems by auditing legacy patterns and mapping them to version-safe LangGraph v1+ and LangChain v1+ supervisor/subagent architectures, ensuring middleware-friendly hooks replace deprecated libraries.

What is the best way to architect supervisor and subagent workflows in LangGraph?▼

Architect supervisor and subagent workflows by designing end-to-end multi-agent graphs in LangGraph, integrating orchestrator/worker routing, hand-offs, memory, and guardrails to structure complex task delegation.

How do I audit a legacy multi-agent project for deprecated LangChain patterns?▼

Audit legacy multi-agent projects by evaluating existing LangChain implementations against v1+ standards, identifying deprecated patterns, and documenting concrete migration steps with evidence-based guidance to de-risk modernization.

Does this approach support memory and observability integration for multi-agent systems?▼

Yes, the approach supports memory and observability integration by architecting the end-to-end multi-agent graph design to include memory management and monitoring hooks within the LangGraph framework.

When should I restructure orchestrator and worker routing in a multi-agent graph?▼

Restructure orchestrator and worker routing when migrating from deprecated libraries, ensuring version-safe hand-offs and guardrails are implemented to maintain workflow stability across LangGraph v1+ environments.

Can I integrate MCP and guardrails into LangChain v1+ multi-agent workflows?▼

Yes, you can integrate MCP and guardrails into LangChain v1+ workflows by utilizing middleware-friendly hooks and tooling during the multi-agent architecture design to ensure safe operations.