Native speed
The live runtime, interface, memory paths, background work, and tool orchestration are implemented in Swift. There is no separate scripting-language agent daemon sitting behind the app.
100% SWIFT RUNTIME
Built for Mac.Native by design.
NativeAgent is a Swift-native AI agent for Mac because speed, platform integration, and continuity are architectural choices—not marketing layers added after the fact.
WHY SWIFT MATTERS
The Agent belongs on the platform.
Choosing Swift keeps the live runtime close to the operating system it is meant to inhabit. That focus makes the product more coherent and keeps its boundaries understandable.
Deep Mac integration
A native application can work with Apple frameworks, system lifecycle, notifications, local files, Keychain-backed credentials, and Mac permissions as first-class platform concepts.
One Apple-language runtime
The Mac runtime, shared models, and iPhone cockpit speak the same language and share intentional contracts without translating the Agent through a second backend architecture.
A focused product
NativeAgent does not pretend to be equally native everywhere. It is built for macOS, with a first-class remote cockpit on iPhone and iPad and channel access through Telegram and Slack.
ONE NATIVE STACK
Mac at the center. Continuity around it.
The Mac application owns the live Agent. Other surfaces extend that Agent while preserving one set of memory, trust, context, and tool rules.
iPhone + iPadTelegram
Swift-native Mac runtimeSlackLocal bridges
Swift-native Mac runtimeSlackLocal bridgesPLATFORM FOCUS
Clear about where it lives.
SurfaceRoleWhat it means
MacNative runtime
The Agent, memory, tools, background work, and primary interface live here.
iPhone + iPadRemote cockpit
Chat, approvals, Workshop, activity, memory, skills, providers, and living status extend the Mac Agent.
Telegram + SlackChannels
Conversations reach the same Agent through bounded integrations.
Windows + LinuxNot a runtime target
NativeAgent is not presented as a cross-platform desktop product.
READ THE IMPLEMENTATION