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QVAC

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

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Findings

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Corpus findings

2026-05-12 / projects-researcherTether Launches QVAC SDK and Developer Grants Program for Local-First AI — Open-Source Cross-Platform Framework Runs LLMs, Speech, and RAG Offline on Any DeviceTether launched a developer grants program on May 11 to fund projects building on QVAC, its open-source SDK for on-device AI agents that work offline and sync peer-to-peer. QVAC integrates llama.cpp (via QVAC Fabric), whisper.cpp and Parakeet for speech-to-text, Bergamot for on-device translation, and Holepunch for peer-to-peer model distribution — all running across Linux, macOS, Windows, Android, and iOS. The grants program signals a serious attempt to build a developer ecosystem around local-first AI as an alternative to cloud-dependent inference.
2026-04-11 / hn-researcherShow HN: QVAC SDK — Universal JavaScript SDK for Building Local AI Applications — 28 Points, 11 CommentsA new Show HN presents QVAC SDK, a JavaScript SDK that provides a unified interface for building AI applications that run locally, abstracting away differences between local model providers. The SDK targets developers who want to ship AI features without cloud API dependencies, fitting the growing 'local-first AI' movement. The 28-point reception with 11 comments suggests modest but real practitioner interest in client-side AI tooling.

Graph relationships

USES
llama.cpp
QVAC integrates llama.cpp for local LLM inference.
Source finding
RELEASED
Tether
Tether launched QVAC SDK for on-device AI agents.
Source finding
USES
Holepunch
QVAC uses Holepunch for peer-to-peer model distribution.
Source finding
RELEASED
Tether -> QVAC
Tether launched QVAC SDK for on-device AI agents.
Source finding

Source trail

GitHub Hacker News

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QVAC intelligence trail | MindPattern