Mac-native intelligence

Explore MacPaw AI technologies
  • Secure
  • On-device
  • Mac-native

MacPaw AI is our applied-AI direction – initiatives that help Mac apps think, remember, and get things done right on the device. They bring inference, memory, and agents together in a native Swift runtime built with the aim of speed and privacy. We are implementing them in our products. Now, we're opening it to yours.

Built for everyone interacting with MacPaw and its products – developers, product teams, and partners

Build with us

On-device AI

We believe AI should be yours. So it lives where you do: on your device.
It thinks on your Mac, not in a data center. It works with your files and apps right where they are. It remembers what matters to you, and keeps that memory with you. Private because it’s close. Fast because it’s close. Yours because it never left.

MacPaw AI Technologies

In development

Elix On-device agentic AI runtime

Explore Elix

Build on-device AI for Mac in Swift. Describe what your app needs to do, and Elix handles the runtime – from execution and resource management to inference with Liquid Foundation Models.

  • Composable pipelines

    Write the intent in Swift. Elix works out what can run in parallel, so you can spend less time wiring AI infrastructure together. The pipelines layer is open source under Apache 2.0.

  • Shared service

    One service runs AI across apps and monitors resources. When the LLM isn't needed, Elix unloads it and frees the memory.

  • Inference engine

    Our custom MLX-based inference engine, tuned for Liquid Foundation Models and Apple silicon – running fully on the Mac.

In development

Mnemos On-device AI memory

Explore Mnemos

Give your AI a memory that stays on the Mac by default. It keeps context over time, knows where each fact came from, and is built with the aim of privacy by design.

  • More than a pile of memories

    People, projects, and facts stay connected instead of becoming disconnected chunks. When information conflicts, Mnemos can resolve it – without losing track of the source.

  • It knows how it knows

    Mnemos keeps apart what you said, what it found in its data, and what it observed. Each has its own trust level and traceable source.

  • Your memory goes with you

    Mnemos uses Portable Memory, an open, vendor-neutral format – export your memory, merge it, or move it between apps and devices.

Research preview

Computer Use AI that operates the Mac

Explore Computer Use

Give an agent the Mac itself. Computer Use is how AI sees the screen the way macOS does, acts in real apps, and gets measured on real Mac tasks – the research behind computer use in Eney.

  • Sees the screen like macOS does

    Screen2AX rebuilds a full accessibility tree from a screenshot, so agents and screen readers can use apps that never shipped one – with 2.2× better grounding than the native metadata.

  • Acts in real apps

    A native Swift agent clicks, types, and navigates Mac apps and the web one verified step at a time, and risky steps – paying, deleting, sending – wait for your approval.

  • Measured on real Macs

    MacArena scores agents on 421 human-verified tasks across 50 macOS apps, and GUIrilla-See, trained on tasks crawled from 1,108 real apps, posted the best macOS grounding score in the field at publication.

AI in our products

See how MacPaw AI works in products people already use

Elix

The local engine inside Eney – first of many

Eney is where the Elix stack comes together: reasoning runs as pipelines through one shared service, with Liquid Foundation Models inferred on the Mac through Elix's MLX engine – no round trip to the cloud for the work that can stay local.

Explore Elix

Mnemos

AI memory for Eney, ecosystem memory for MacPaw

In Eney, Mnemos is the AI's memory: facts, preferences, files, and history, stored and processed on the Mac by default, with every memory tied to its source and the sensitive parts kept away from models that do not need them.

Explore Mnemos

Computer Use

AI that operates the Mac, inside Eney

A research preview, Computer Use is what lets Eney act when no skill or connector covers the task: see the screen the way macOS does, then click, type, and navigate in real apps – one verified step at a time, with risky actions held for the user.

Explore Computer Use

Academic & research

We work with universities on AI research, internships, labs, and opportunities for students to learn by doing.

  • MIT

    Joint research and internships in on-device inference.

    Visit MIT
  • Kyiv-Mohyla Academy

    Joint applied-AI research and a steady ML talent pipeline.

    Visit KMA
  • Ukrainian Catholic University

    Joint research, internships, and a talent pipeline.

    Visit UCU
  • Igor Sikorsky Kyiv Polytechnic Institute

    Home of our "Bilka Space" AI Lab and an ML scholarship.

    Visit KPI
The MacPaw AI team

Strategic partners

We work with specialists across foundation models, voice AI, and model training to bring the right technology into MacPaw AI initiatives.

  • Foundation models partner

    Liquid AI

    Liquid AI builds efficient Liquid Foundation Models. Elix is designed to run them even leaner on Apple silicon.

    Visit Liquid AI
  • Voice AI partner

    Respeecher

    Respeecher brings studio-grade voice cloning and real-time text-to-speech to Mac voice features through Elix.

    Visit Respeecher
  • Adapter training partner

    distil labs

    distil labs helps us train purpose-built small language models that can handle specific tasks without an expensive LLM call.

    Visit distil labs
Talk to the team

Build with MacPaw AI

Working on AI for the Mac? Bring us the product, technical problem, or idea you're exploring. We can talk about platforms, partnerships, model licensing, and roadmap.

Email the team ai@macpaw.com

Press about MacPaw AI

See what the press is saying about our AI products, platform, partnerships, and plans.