Langchain Multi Agent Example — Development skill for Claude Code
Comprehensive tutorial and code examples for building multi-agent systems with LangChain.
How to install Langchain Multi Agent Example
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open groovy-web/langchain-multi-agent-example and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Langchain Multi Agent Example does
Comprehensive tutorial and code examples for building multi-agent systems with LangChain.
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README
LangChain Multi-Agent Example
[](https://www.groovyweb.co/?utm_source=github&utm_medium=readme&utm_campaign=langchain-multi-agent) [](LICENSE)
Comprehensive tutorial and code examples for building multi-agent systems with LangChain
🚀 Overview
This repository provides a complete, production-ready example of building multi-agent systems using LangChain. It demonstrates how to create specialized AI agents that can collaborate to solve complex tasks through orchestration patterns.
🎯 What You'll Learn
- Agent Architecture: Design patterns for AI agents
- Multi-Agent Orchestration: Coordinate multiple agents effectively
- Tool Integration: Equip agents with external tools and APIs
- Memory Management: Implement conversation and context memory
- Error Handling: Build robust multi-agent systems
- Performance Optimization: Optimize for cost and speed
✨ Features
- Complete Working Examples: Copy-paste ready code
- Step-by-Step Tutorials: From basic to advanced patterns
- Production Best Practices: Security, testing, deployment
- Real-World Use Cases: Practical applications
- TypeScript: Full type safety
- Jest Tests: Comprehensive test coverage
📋 Prerequisites
- Node.js 18+ installed
- Basic knowledge of TypeScript
- Understanding of async/await patterns
- API keys for OpenAI and/or Anthropic
🚦 Quick Start
1. Clone and Install
git clone https://github.com/groovy-web/langchain-multi-agent-example.git
cd langchain-multi-agent-example
npm install
2. Set Up Environment
cp .env.example .env
Edit `.env` and add your API keys:
OPENAI_API_KEY=sk-your-openai-key
ANTHROPIC_API_KEY=sk-ant-your-anthropic-key
TAVILY_API_KEY=tvly-your-tavily-key # For search
SERPER_API_KEY=your-serper-key
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