1. Install Ollama Server (Optional)

If you want to use Ollama models, ReactorAI relies on the Ollama server to run AI models. You can install it locally or use a remote server.

Visit ollama.com to download the server
Follow platform-specific setup instructions
Run a test command: ollama run llama2 to verify it works

1a. How to Install Ollama and Download Models

Installing Ollama

macOS & Linux:


curl -fsSL https://ollama.com/install.sh | sh

Windows:

Download the installer from ollama.com/download/windows and run it.

Downloading Popular Models

Essential Models for ReactorAI:

          
# General purpose model (recommended for beginners)
ollama pull llama3.2

# Best for coding tasks
ollama pull codellama

# Fast, lightweight model
ollama pull phi3

# Great for multilingual tasks
ollama pull mistral

# Advanced reasoning (larger model)
ollama pull llama3.1:70b

Essential Commands

          
# List installed models
ollama list

# Start ollama service
ollama serve

# Test a model interactively
ollama run llama3.2

# Remove a model
ollama rm modelname

# Pull specific model version
ollama pull llama3.2:3b

Tips for ReactorAI Users

Start Small: Begin with llama3.2 or phi3 - they're fast and work great
Check System Resources: Larger models (70b+) need 32GB+ RAM
Keep Ollama Running: ReactorAI connects to the ollama service on http://localhost:11434
Model Switching: Download multiple models and switch between them in ReactorAI

1b. Setup Gemini API (Alternative)

If you prefer to use Google's Gemini models instead of or alongside Ollama:

Visit Google AI Studio
Create an API key for Gemini
Keep the API key ready for app configuration

2. Install ReactorAI on macOS

Go to the Mac App Store
Click “Get” to install
Launch the app and configure the Ollama server address or Gemini API key

3. Install ReactorAI on iOS

Open the App Store on your iPhone or iPad
Search for "ReactorAI" and install the app
Open the app and set your Ollama server (local or remote) or Gemini API key

4. Install ReactorAI on Windows

Go to the Microsoft Store
Click “Install” to get ReactorAI
Open the app and provide the Ollama model server URL or Gemini API key

5. Install ReactorAI on Linux MCP SUPPORT

The Linux version of ReactorAI includes Model Context Protocol (MCP) server support, enabling your AI models to interact with external tools and data sources!

MCP Server File System Integration Tool Connections

Download the Linux version below
Extract the ZIP file to your preferred location
For MCP support: Install Node.js on your system:
sudo apt update && sudo apt install nodejs npm
Run the ReactorAI executable
Configure your Ollama server address or Gemini API key
Enable MCP server connections in settings

Download ReactorAI for Linux

What is MCP?

The Model Context Protocol allows ReactorAI to connect your AI models with external tools, file systems, and data sources. This means your AI can read files, execute commands, and interact with your development environment directly!