qvac: Build Private, Cross‑Platform AI Apps with On‑Device LLMs
From the repo · “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.”
QVAC allows founders to run AI applications privately and locally on various platforms, including Linux, macOS, Windows, Android, and iOS, for building cross-platform AI tools.
- •When building AI-powered chatbots that require local data processing for security and privacy
- •When developing speech-to-text or translation applications that need to run offline or on edge devices
- •When creating peer-to-peer AI applications that require local model execution and data protection
Run a local speech-to-text model using QVAC with the command `npx tsc ts-example.ts && node ts-example.js --model speech-to-text`
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/qvac && curl -fsSL https://workflowstacks.com/api/skills/qvac/claude-skill -o ~/.claude/skills/qvac/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
What's inside — free to inspect
Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/qvac && curl -fsSL https://workflowstacks.com/api/skills/qvac/claude-skill -o ~/.claude/skills/qvac/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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