Getting Started 👋

Installation & First Steps

Setup API keys

Chatting with Alice

Summon Alice

Agents

Skills

Customizing Themes

Image Generation

Online Mode

Vision Skills

Working with documents & files

Artifacts

Code Interpreter

Multi-agent

Memory

Deep Links (x-scheme-url)

Remote Actions ✨

Remote Actions Basics

First Remote Action Scenario

Quick Scheduling Links Automation

Using existing automations

Advanced 📚

Local Server

Managing messenger inboxes

Using Model Context Protocol (MCP)

Using Zapier MCP

Using N8N MCP

Custom Apps

Open-source models with Ollama

Connect Alice to OpenRouter.ai

Inspirations 💡

Accept Offers with Alice

Craft Compelling Copy

Customer Service

Translations and readability

Formal Communication

Generate Images & use Vision

Getting Mailchimp Campaign Stats

Google Analytics Reports

Harnessing Alice for Development

Instant Text Correction

Instant Voiceovers

Instant Zoom Meetings

Manage Subscribers in Mailer Lite

Managing Social media

Managing Tasks

Quick Google Calendar Events

Recent News with Perplexity

Scheduling Social Media Posts

Simple Automation for Data Insights

Streamline Project Management

Translations and Learning

Unsplash Photos

Wolfram Alpha

YouTube Descriptions

Zoom & Google Calendar

By default, the Alice app stores all settings locally on your Mac or PC. This means that if your hardware is powerful enough to run local, open-source language models, you can maintain complete privacy over your conversations.

The easiest way to download and run an open-source language model locally is to use https://ollama.com. First, download the app and install it on your computer.

Note: After opening the app, nothing will happen because Ollama will run in the background.

Next, you need to download the model and as a moment of writing this, one of the best models are Gemma 3 and DeepSeek-R1. Let's download Gemma.

  1. Open your terminal or PowerShell and run the following command: ollama run gemma3. If you have at least 64GB of RAM, you can run a larger version that will run more slowly but provide better responses — ollama run gemma3:27b-it-q8_0.

  2. The model will be downloaded, so this may take some time, depending on your Internet connection.

  3. Then open the Alice app, go to Settings -> Apps, and set up a connection as shown in the image below. Note: Context window and output context limit values can be found on the model's page on the Ollama website.

  • Connection Name: Ollama

  • API Endpoint URL:http://localhost:11434/v1/chat/completions

  • Model Name: gemma3

  • Context Window: 128000

  • Output Limit: 8196

Now, let's ensure the connection is active by switching the toggle, and also make sure to activate the "Enable Streaming" option as well.

From now on, the Gemma 3 model will be available in the models list.

Notes:

  • For the first query, model will be loaded into memory, so it will take much longer than subsequent requests.

  • The longer the conversation, the longer it will take to generate a response, so it's a good idea to keep threads short.

  • The overall performance and capabilities of open-source language models are significantly lower than those of commercial models.

  • You can add any text and vision model supported by Ollama. For vision models, just make sure to enable the "Vision Support" toggle.