# MacPaw 联手 Liquid AI，为 SetApp 开发者提供端侧推理能力

- 来源：TechCrunch：AI（RSS）
- 作者：Ivan Mehta
- 发布时间：2026-08-05 20:28
- AIHOT 分数：47
- AIHOT 链接：https://aihot.virxact.com/items/cmsg2judi038yrolg92kwf0ox
- 原文链接：https://techcrunch.com/2026/08/05/macpaw-taps-liquid-ai-to-offer-on-device-inference-to-devs-building-for-its-app-store

## AI 摘要

MacPaw 与 Liquid AI 合作，为其产品引入本地托管 AI 模型，并计划将相关技术栈开放给开发者。MacPaw 正为其 AI 助手 Eney 开发本地版本，Liquid AI 将负责构建名为 Elix 的端侧推理系统和本地记忆系统。MacPaw 还计划在拥有超 15 万付费用户的 SetApp 应用商店中，以积分制模式支持更多 AI 应用。

## 正文

Ukraine-based app developer MacPaw has partnered up with Liquid AI to power its products with locally hosted AI models, and eventually make the tech stack available to developers. The company is also preparing its SetApp app store for AI apps with credit-based plans for users.

MacPaw is currently working on its AI assistant Eney, which it unveiled last year, and now plans to build a locally hosted version, for which it has roped in Liquid AI to develop an on-device inference system called Elix as well as a local memory system.

“Before training our models, we select an architecture that is different and tailored to the hardware. That allows us to really have the most efficient version of intelligence that runs directly on the device, with benefits like privacy and security,” Liquid AI’s co-founder and CEO Ramin Hasani told TechCrunch.

MacPaw’s CEO Oleksandr Kosovan said locally hosted AI models will also give users the ability to run assistants and agentic workflows offline.

Notably, Apple already provides its own local models to developers. But Hasani maintains that Liquid AI’s models focus on performance for different capabilities.

“We are also building a customization stack around models. This means that with user input, the models can use the data and improve. We want our models to be adaptable and become more intelligent over time,” Hasani said.

MacPaw plans to focus more on AI apps for its subscription-based app store, SetApp, which has over 150,000 paying users.

Once it locks in the local processing architecture with Liquid AI, MacPaw wants to make the tech available to developers so they can use on-device inference with their apps. Kosovan said the platform will also provide access to other cloud models from companies like Google, acting as a one-stop shop for developers.

MacPaw is already experimenting with credit-based pricing for the app store, where users can perform a certain number of AI operations based on the credits they have and the complexity of the task.