Liquid ApolloLiquid AI
|
QVACTether Data
|
|||||
Related Products
|
||||||
About
Liquid Apollo is a lightweight mobile application designed for fully on-device, cloud-free AI interactions, enabling users to engage with advanced language and vision models securely, privately, and with low latency. It supports a library of small foundation models from the company’s LEAP platform, allowing users to draft messages, emails, chat with a private AI assistant, craft digital characters, or use image-to-text capabilities, all without an internet connection and with no data leaving the device. Apollo is optimized for real-time responsiveness and offline operation, ensuring that inference happens entirely locally, with no API calls, servers, or user-data logging involved. It serves as both a personal AI playground and a testing bed for developers using LEAP models, letting one “vibe-check” how a model performs on their own mobile hardware before broader deployment.
|
About
QVAC SDK is a developer toolkit for adding on-device AI inference to applications built with JavaScript/TypeScript or Python. It provides a common API for running supported language, vision, and speech models on mobile and desktop devices, with model discovery and downloads, inference APIs, and optional remote providers. Developers can build offline-capable AI features and, for local inference, keep prompts and processing on the device. QVAC also offers an OpenAI-compatible server and plugins that connect local models to developer tools. The SDK is intended for developers building AI-enabled applications. Its documentation covers setup, model selection, text generation, image and audio tasks, and tool calling; available features depend on the selected model and platform. QVAC SDK is free, open-source software under Apache 2.0; local inference requires no hosted QVAC account.
|
|||||
Platforms Supported
Windows
Not Supported
Mac
Supported
Linux
Not Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Supported
iPad
Supported
Android
Supported
Chromebook
Not Supported
|
Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Supported
iPhone
Supported
iPad
Supported
Android
Supported
Chromebook
Not Supported
|
|||||
Audience
Individuals and developers seeking a solution to improve productivity and test on-device models before deployment
|
Audience
Software developers and product teams building AI-enabled mobile, desktop, and other applications that need local or peer-to-peer AI inference.
|
|||||
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
|||||
API
Offers API
Not Supported
|
API
Offers API
Supported
|
|||||
Screenshots and Videos |
Screenshots and VideosNo images available
|
|||||
Pricing
Free
Free Version
Supported
Free Trial
Not Supported
|
Pricing
$0
Free and open source under Apache 2.0. Local inference has no subscription, API-key, or per-token charge.
Free Version
Supported
Free Trial
Not Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
|
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
|
|||||
Company InformationLiquid AI
Founded: 2023
United States
www.liquid.ai/apollo
|
Company InformationTether Data
El Salvador
qvac.tether.io/products/sdk
|
|||||
Alternatives |
AlternativesNo Alternatives
|
|||||
|
|
||||||
|
|
||||||
Categories |
Categories |
|||||
Integrations
Hugging Face
Not Supported
Liquid AI
Supported
OpenClaw
Not Supported
OpenCode
Not Supported
OpenRouter
Supported
|
Integrations
Hugging Face
Supported
Liquid AI
Not Supported
OpenClaw
Supported
OpenCode
Supported
OpenRouter
Not Supported
|
|||||
|
|
|