johnbean393/Sidekick
A macOS application that chats with local LLMs and retrieves information from your files, folders, and websites.
Not currently ranked — collecting fresh signals.
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Sidekick is a native macOS app that provides a chat interface powered by local LLMs using llama.cpp as the inference backend. It allows users to query their files, folders, and websites, and the LLM responds with information extracted from those sources along with references. All processing happens locally, supporting GGUF models like Qwen3.5 with no external dependencies required.
Frequently asked
- What is johnbean393/Sidekick?
- A macOS application that chats with local LLMs and retrieves information from your files, folders, and websites.
- Is Sidekick open source?
- Yes — johnbean393/Sidekick is open source, released under the MIT license.
- What language is Sidekick written in?
- johnbean393/Sidekick is primarily written in Swift.
- How popular is Sidekick?
- johnbean393/Sidekick has 3.3k stars on GitHub.
- Where can I find Sidekick?
- johnbean393/Sidekick is on GitHub at https://github.com/johnbean393/Sidekick.