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About Local

Local is a desktop application that enables users to run AI models locally on Apple silicon Macs. The tool installs and runs entirely offline after initial setup, with no data transmitted to external servers. It supports a range of open models such as Llama, Gemma, Mistral, and Phi, which are automatically selected based on the Mac’s available memory and chip capabilities. The application includes features for chat, coding assistance, meeting transcription, and memory management, all of which operate within the user’s device. Users can also connect their own API keys for cloud models when needed, while keeping sensitive operations confined to local execution. Performance is optimized through BaseRT, a custom inference engine compiled for the specific Mac’s silicon, which the developer claims can deliver faster token generation compared to generic builds. The tool is designed for researchers, developers, and enterprises seeking privacy-focused AI workflows without reliance on cloud services.

Key features

  • Offline AI model execution
  • BaseRT inference engine for Apple silicon
  • Chat with documents and files
  • On-device coding assistance
  • Meeting transcription with speaker labeling
  • Memory management for persistent context
  • Office Mode for shared local AI access
  • Custom cloud model integration

Use cases

  • Private document analysis and summarization
  • Local coding assistance without cloud uploads
  • On-device meeting transcription and note-taking

Pros

  • Runs entirely offline after initial download
  • Supports multiple open models automatically
  • Optimized inference engine compiled for Apple silicon
  • No data collection or telemetry
  • Supports custom cloud model integration via API keys

Cons

  • Currently limited to Apple silicon Macs
  • Windows and Linux support listed as 'coming soon'
  • Requires manual model selection based on hardware constraints

Frequently asked questions about Local

Does Local work without an internet connection?

Local requires an internet connection only for the initial download of the app and models. After setup, all operations run entirely offline, with no data transmitted to external servers.

Which Macs are supported by Local?

Local supports any Mac with Apple silicon. The application automatically selects models based on the available memory and chip capabilities of the device.

Is any of my data collected by Local?

No data is collected or transmitted. All interactions, memories, and files remain stored locally on the user's device, with no telemetry or account requirements.

Can I still use cloud models like GPT or Claude with Local?

Yes, users can connect their own API keys for cloud models when needed. These requests are directed to the provider's servers, while local operations remain offline.

How does my Mac's hardware affect Local's performance?

Memory capacity determines which models can run, while chip speed influences processing time. Local automatically optimizes model selection and performance based on the device's specifications.

What makes Local faster than other local AI applications?

Local uses BaseRT, a custom inference engine compiled specifically for the user's Apple silicon chip. This optimization delivers faster token generation compared to generic builds used by other local apps.

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