Agents N Arbiters

Multi-Agent AI Text Adventure Game

Overview

This multi-agent AI text adventure game—inspired by [Zork](https://en.wikipedia.org/wiki/Zork) and affectionately called _Agents & Arbiters_—demonstrates how to implement a multi-agent system with multi-channel state using [LangGraph.js](https://github.com/langchain-ai/langgraphjs). Built on Azure using Static Web Apps, Azure Functions, Azure Managed Redis, and Azure OpenAI, this demo showcases Redis' ability to store workflow state and manage short-term conversation context using [Agent Memory Server](https://redis.github.io/agent-memory-server/).

Table of Contents

• Demo Objectives
• Setup
• Running the Demo
• Slide Decks
• Architecture
• Known Issues
• Resources
• Maintainers
• License

Demo Objectives

• Show how to build a multi-agent system with multi-channel state using LangGraph.js.
• Demonstrate the usage of Azure Managed Redis's JSON and search capabilities to store and query persistent state for AI workflows.
• Highlight Redis Agent Memory Server as a tool to manage short-term memory for AI workflows.

Setup

Dependencies

**For Local Development:**

• Node.js v22+
• Docker for local Redis, AMS, and LiteLLM
• OpenAI API Key

**For Azure Deployment:**

• Azure subscription
• Azure CLI
• Azure Developer CLI

Configuration

**Local Configuration:**

Copy `.env.example` to `.env` and fill in your OpenAI API key.

cp .env.example .env