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tetherto/qvac

Open-source local AI SDK - run AI on-device with no cloud, no API keys. Supports GGUF, RAG, image, music, and video generation, speech-to-text, P2P inference,…

★ 744Week rank 74 · star gain starts at the next snapshot

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From the README

Local AI – SDK & Model Provider Run LLMs, speech, vision, image/video generation, and more on any device. Build mobile and desktop apps, or serve local models to your favorite AI tools.

Setup prompt

Paste this into Cursor or Claude Code. It only includes install lines found in the README, and it asks the agent to review the code first.

Set up the GitHub repository tetherto/qvac (Open-source local AI SDK - run AI on-device with no cloud, no API keys. Supports GGUF, RAG, image, music, and video generation, speech-to-text, P2P inference, and more. Cross-platform: Linux, macOS, Windows, Android, iOS.).
Repository: https://github.com/tetherto/qvac

Official install commands found in the README:
npm init -y && npm pkg set type=module
npm i @qvac/sdk

Clone the repository and follow those steps. Do not invent package names or extra install commands.
Review the code before running anything.

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Same mentions, three half-lives. This is not a star history. Star gain appears after a second daily snapshot.

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