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A background work-memory app should stay out of your way

Why idle memory, CPU use, startup time, and storage growth matter for an app that records work in the background on Windows and macOS.

この記事を日本語で読む →
Desktop performanceWindowsmacOSBackground appLocal memory

Always-on value has an always-on cost

Work memory is most useful when it can recover an ordinary workday, including the moments you did not think to document. That means its desktop app may run beside a browser, editor, chat app, and build tools. If it slows down those tools, the memory feature loses its value.

The original Japanese article described the performance targets for the first Windows implementation. Contextberg now also has a macOS app. The design principle applies to both, but historical targets from one platform should not be presented as measured performance of the current apps.

Measure the cost a person actually feels

MeasureWhy it matters
Idle memoryThe app remains resident while you do other work
CPU while recordingCapture should not interrupt typing, navigation, or builds
Startup timeA slow launch makes daily use and automatic startup less reliable
Disk growthScreens and logs accumulate over time
Cost while pausedA privacy control should not leave unnecessary capture work running

Measure these under realistic workloads and over time. A single idle snapshot does not tell you what happens during screen capture, memory generation, or a long work session. Report platform, build, machine, capture settings, and sample period with any published number.

OS-native behavior is part of the design

Recording depends on operating-system permissions and APIs. Windows and macOS do not have identical capture or permission models, so the implementation should respect each platform's boundary and explain what is being recorded. Performance and trust meet here: a quiet background app needs clear controls as much as efficient code.

Contextberg's practical promise is to keep Record, Memory, and Chat available without making the computer feel occupied by the recorder. The right test is not a framework comparison; it is whether the app remains predictable during the user's real work.

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