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Record · sidekickAgentOpen sourceVerified Sep 18, 2026

Sidekick

A native macOS app that allows users to chat with a local LLM that can respond with information from files, folders and websites on your Mac without installing any other software.

Visit Sidekick →View source

Best for

Mac users who want a local model to answer from their own files, folders and websites, with conversations staying offline.

Avoid if

You are not on macOS; it is a native Mac application with a built-in local inference engine.

About Sidekick

Chat with a local LLM that can respond with information from your files, folders and websites on your Mac without installing any other software. All conversations happen offline, and your data stays secure. Sidekick is a local first application –– with a built in inference engine for local models, while accommodating OpenAI compatible APIs for additional model options.

Sidekick supports modern GGUF local models such as Qwen3.5 out of the box through its built-in llama.cpp backend.

Let’s say you're collecting evidence for a History paper about interactions between Aztecs and Spanish troops, and you’re looking for text about whether the Aztecs used captured Spanish weapons.

From the project's README

Sidekick is an open-source project written primarily in Swift, with 3.3k stars on GitHub. It was last updated in May 2026.

Install

brew install --cask arcadi4/tap/sidekick
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