Multi-Agent Chat System

A complete multi-agent interactive chat system with Ollama integration.

Features

• Multiple AI Agents: Technical Assistant 💻, Creative Assistant 🎨, Data Analysis Agent 📊
• Ollama Integration: Local LLM support (default: mistral)
• Interactive Chat Interface: Real-time conversation
• Conversation History: Persistent SQLite storage
• Responsive UI: React + Tailwind CSS with dark mode

Quick Start

Prerequisites

1. Node.js ≥ 18
2. Ollama installed and running
3. A model pulled: ollama pull mistral

Setup

# 1. Clone the repo
git clone https://github.com/avila2026/multi-agent-chat.git
cd multi-agent-chat

# 2. Backend
cd backend
cp .env.example .env
npm install
npm run dev   # starts on http://localhost:5000

# 3. Frontend (new terminal)
cd frontend
cp .env.example .env
npm install
npm start     # starts on http://localhost:3000

Open http://localhost:3000 in your browser.

Environment Variables

Backend (backend/.env)

Variable	Default	Description
PORT	5000	Server port
OLLAMA_URL	http://localhost:11434	Ollama API URL
OLLAMA_MODEL	mistral	Default model
DB_PATH	./chat.db	SQLite database path

Frontend (frontend/.env)

Variable	Default	Description
REACT_APP_API_URL	http://localhost:5000	Backend API URL

API Reference

Method	Path	Description
GET	/api/agents	List available agents
GET	/api/conversations	List conversations
POST	/api/conversations	Create conversation
GET	/api/conversations/:id/messages	Get messages
POST	/api/conversations/:id/messages	Send message
DELETE	/api/conversations/:id	Delete conversation

Docker

docker-compose up --build

Tech Stack

• Backend: Node.js + Express.js + SQLite (better-sqlite3)
• Frontend: React 18 + Tailwind CSS
• LLM: Ollama (local)