QVAC is an open-source, local-first AI software development kit developed by Tether for running machine learning models directly on personal devices without cloud services or API keys. It supports Linux, macOS, Windows, Android, and iOS through JavaScript, TypeScript, and Python interfaces. Developers can run language models, generate embeddings, and build retrieval-augmented generation workflows. Its multimodal capabilities include image, video, music, and speech generation, transcription, translation, and OCR. The SDK also supports LoRA fine-tuning and local inference using GGUF models. An OpenAI-compatible HTTP server connects local models to AI coding assistants and other applications. Peer-to-peer model distribution allows devices to exchange model files without relying on centralized hosting.

Features

  • Offline Large Language Model Inference
  • Image, Video, Music, and Speech Generation
  • Local RAG, Embeddings, and LoRA Fine-Tuning
  • OpenAI-Compatible API and AI Tool Integration
  • Peer-to-Peer Model Distribution and Discovery
  • Cross-Platform JavaScript, TypeScript, and Python SDKs

Project Samples

Project Activity

See All Activity >

License

Apache License V2.0

Follow QVAC

QVAC Web Site

Other Useful Business Software
Build Agents and Models on One Platform Icon
Build Agents and Models on One Platform

Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of QVAC!

Additional Project Details

Operating Systems

Android, Apple iPhone, Linux, Mac, Windows

Programming Language

TypeScript

Related Categories

TypeScript Artificial Intelligence Software

Registered

5 days ago