The landscape of desktop artificial intelligence is shifting from reactive chat windows to proactive, system-aware agents. MacPaw introduces Eney, a new assistant built specifically to understand the deep context of Apple hardware, local files, and running applications.
Originating as an internal concept back in 2019 to streamline utility tasks, the project evolved alongside modern language models and agentic AI architectures. Rather than forcing users to manually copy and paste text into an isolated browser tab, Eney operates directly across the operating system environment.
Understanding System Context
Traditional chatbots remain blind to what is happening on a device unless the user explicitly uploads a document or pastes a snippet. Eney approaches productivity by monitoring calendar appointments, open applications, and disk storage metrics.
If a meeting is about to start, the assistant prepares relevant notes and summaries automatically. When system storage runs low or an application encounters repeated errors, the software spots the issue and surfaces proactive recommendations for review.
The Eney Wand and System-Wide Integration
Interacting with digital assistants often creates friction due to window management and context switching. Eney addresses this bottleneck through a dedicated cursor gesture known as the Eney Wand.
Users can simply shake their cursor over any text on the screen or press a keyboard shortcut to invoke the assistant instantly. This mechanism allows the AI to ingest on-screen content immediately without requiring intermediate clipboard steps.
Furthermore, the assistant connects natively with popular productivity suites out of the box. Integrations span Apple Mail, Calendar, and Reminders, alongside external platforms like Google Workspace, Slack, Notion, and Jira.
Local Models and Privacy Management
Balancing advanced intelligence with data privacy remains a primary challenge for modern desktop utilities. Eney utilizes a hybrid approach, combining cloud-based models for complex reasoning with optimized local models.
MacPaw collaborated with Liquid AI to ensure that smaller models run efficiently on consumer hardware. This setup allows certain tasks to execute entirely on-device, preserving user privacy.
The system also features Mnemos, a proprietary memory architecture designed to store user preferences locally. This knowledge graph connects projects, routines, and factual updates over time, allowing the assistant to adapt to individual workflows.
Availability and Pricing
The software is available today for macOS and iOS environments, featuring a 14-day trial period with initial AI credits. Subscription models scale based on monthly credit limits, catering to light users and power users alike.
As agentic tools become standard across personal computing, system-native assistants highlight a shift toward ambient automation. By anticipating needs before a manual prompt occurs, tools like Eney aim to reduce routine administrative friction across everyday devices.
Key Takeaways
- Eney is a system-aware AI assistant designed by MacPaw to understand Apple hardware, local files, and running apps.
- Features the Eney Wand gesture and keyboard shortcuts to instantly ingest on-screen content without copy-pasting.
- Utilizes a hybrid model approach combining cloud intelligence with local processing via Liquid AI and Mnemos memory architecture for privacy.
- Integrates natively with Apple productivity apps as well as external suites like Google Workspace, Slack, Notion, and Jira.
- Available now for macOS and iOS with a 14-day trial period.
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