Chat com IA
Klee
Native macOS chat app running LLMs fully locally on Apple Silicon.
★ 1,8 mil estrelasCustom
Ver o guia →Sidekick é um projeto de chat com IA de código aberto de johnbean393 (johnbean393/Sidekick no GitHub). Tem 3.317 estrelas no GitHub e 149 forks, é publicado sob a licença MIT e foi atualizado pela última vez no GitHub em 30 de setembro de 2026.
A native macOS app to chat with a local LLM over your own files, folders and websites.
Decide the first concrete outcome you want from it, so you can pick the right example, template or mode instead of exploring everything at once.
Clone the repository (or install the published package) and skim its README quick start for the requirements for your platform.
Run the documented install step and set any required configuration — such as provider keys, data sources or local services — before the first run.
Execute the smallest documented example end to end, confirm the output is what you expected, then adapt it to your real data or workflow.
Ask questions grounded in files, folders and websites on your Mac, powered by llama.cpp.
A deep-research mode for longer, source-backed investigations.
Tool use plus persistent memory across conversations.
Work on documents in a canvas and generate images from within the app.
Advanced Markdown with LaTeX, data visualisation and code display.
Optionally connect cloud models with your own key when local models are not enough.
Get the source so you can inspect, configure and run it locally.
git clone https://github.com/johnbean393/Sidekick.git
cd SidekickInstall the cask via Homebrew, or download the app from the project site/Releases.
brew install --cask arcadi4/tap/sidekick-aiLaunch Sidekick, let it load a local model, and point it at a folder or website to start asking questions.
# Open Sidekick.app and follow the in-app setup — see README InstallationIt is maintained by johnbean393 on GitHub (johnbean393/Sidekick), where the source, issues and releases live.
Yes — it is free and open source under the MIT licence, which permits use, modification and redistribution, including commercially, with attribution.
No key is required for local models; an API key is only needed if you choose to add a cloud provider.
Compared with LM Studio or Ollama plus a separate chat UI, Sidekick's distinguishing focus is: a native macOS app to chat with a local LLM over your own files, folders and websites. Pick it when that focus matches your need; the alternative may suit you better if its broader or different scope is the priority.
Clone https://github.com/johnbean393/Sidekick (or install its published package), follow the README quick start to install and configure it, then run the smallest documented example — the Run section on this page mirrors those steps.
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Talk to any LLM hands-free with voice interruption and a Live2D avatar, running locally on your computer.
Native macOS chat app running LLMs fully locally on Apple Silicon.
Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.