What this macOS assistant does

Fluid is an AI helper designed specifically for Mac users who prioritize privacy. It runs AI models locally on Apple Silicon machines and is engineered so your data stays on your device rather than being transmitted to external servers. The app leverages modern AI technologies (including Meta’s Llama 3) to provide conversational and productivity assistance while keeping processing offline.

System requirements and how to start

  • Requires a Mac with Apple Silicon and macOS 14 (Sonoma) or newer.
  • Installation is simple and doesn’t demand administrator credentials.
  • Once installed, you can open Fluid quickly by pressing Ctrl+Space.

Security and data protection

  • All inputs and processing happen locally, so voice and text data are not sent to cloud services.
  • The app operates inside an Apple-verified sandbox for additional containment and safety.
  • Automatic updates are handled without needing elevated permissions, reducing administrative overhead.

Voice interaction and local processing

  • Fluid supports hands-free dictation and voice commands; all audio is analyzed on your machine to preserve confidentiality.
  • Because recognition runs locally, you get low-latency responses without exposing recordings to third parties.

Upcoming capabilities

  • Planned additions include integrated web search, improved contextual understanding, and the ability to remember user preferences for a more personalized experience.
  • These future improvements are intended to enhance usefulness while keeping the privacy-first design intact.

If you want another option to compare, consider a Codeium subscription — it’s frequently suggested as an alternative for AI coding and assistance workflows on desktops. It offers a different set of integrations and cloud-assisted features for users who don’t require everything to be strictly local.

Technical

Title
Fluid
Requirements
  • Web App
Language
No language has been specified.
Available languages
License
  • Full
Latest update
2025-01-06
Author
getfluid
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