Tether’s QVAC Releases SDK 0.13.0 With Local OpenCode Integration and Expanded Model Support

Tether’s QVAC Releases SDK 0.13.0 With Local OpenCode Integration and Expanded Model Support

N
News Editor
2026-06-15 11:00:52
QVAC, the local AI development platform under Tether, has released SDK 0.13.0, adding local integration for OpenCode and coding agents, improving its OpenAI-compatible API, and supporting one-click desktop app packaging through an Electron plugin.
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According to an official update reported by TechFlow on June 15, QVAC, the local AI development platform under Tether, has released SDK 0.13.0. The new version focuses on local development workflows, coding-agent integration, cross-platform desktop packaging, and expanded model support for developers building with QVAC.

Local Integration for OpenCode and Coding Agents

On the development side, QVAC SDK 0.13.0 adds local integration for OpenCode and coding agents. The release also improves the platform’s OpenAI-compatible API. These updates are presented by QVAC as part of the SDK’s continued work around local AI development, with the emphasis placed on local integration and API compatibility.

The release also includes a desktop application packaging update. QVAC SDK 0.13.0 supports one-click packaging of Mac, Windows, and Linux desktop applications through an Electron plugin. This gives developers using QVAC a packaging path across the three desktop environments named in the official announcement: Mac, Windows, and Linux.

New Support for pi0.5, Wan2.1, and Whisper.cpp-Based Transcription

In terms of models, SDK 0.13.0 adds support for pi0.5. It also introduces local image-to-video capabilities based on Wan2.1. Another listed addition is text transcription support for brain-computer interface use cases based on Whisper.cpp. These items make up the main model and transcription-related additions included in the release.

QVAC also listed several improvements beyond the newly added model support. These include Whisper GPU transcription on Android, optimized Parakeet streaming detection on mobile, and full-GPU streaming operation for Supertonic TTS. The improvements cover Android transcription, mobile streaming detection, and GPU-based streaming operation for text-to-speech.

This article was originally published by Bit.Fan. For more cryptocurrency news and market insights, visit www.bit.fan.
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