Minimi

Minimi listens across your Mac - docs, calls, messages and tabs - and supplies Claude with private, on-device context so it generates accurate responses without extra prompts.

Minimi

About Minimi

Minimi is an ambient memory app that quietly captures what you do on your desktop and supplies that context to your LLM assistant so you don't have to re-explain projects each time. It stores contextual data locally and is built to surface recent, relevant items from documents, messages, calls and browser tabs with user controls for privacy.

Review

Minimi addresses a common pain point: AI sessions that start without any history. The app is straightforward to install and focuses on keeping memory on-device while trying to present only the most relevant snippets to your assistant rather than dumping everything into the chat.

Key Features

  • Ambient capture across documents, messages, calls and browser tabs to build continuous context.
  • On-device storage in a local vector database so captured context does not leave your machine.
  • Relevance and temporal signals to prefer recent and acted-upon items rather than raw recall.
  • Granular permissions and a pause option so you control what gets captured and when.
  • Simple connector workflow to feed the selected context into your assistant without manual copy-paste.

Pricing and Value

Minimi is offered with a free tier and a launch promotion that provides an introductory free period for early users. The core value proposition is time saved: by removing repeated briefings and keeping context local, it aims to speed up chats with your assistant while reducing privacy exposure compared with cloud-based memory services.

Pros

  • Keeps memory on-device, which reduces cloud exposure for sensitive notes and conversations.
  • Reduces the need to re-brief an assistant every session, saving time and repetitive work.
  • Provides controls to choose which apps and windows are recorded, and a quick pause switch.
  • Benchmarked improvements on long-term memory tests (example: higher BEAM score vs prior approaches).

Cons

  • Initially available only on desktop (Mac at launch), so cross-platform users may be left waiting.
  • Ambient capture can introduce noise; relevance ranking reduces this but occasional irrelevant context may surface.
  • Requires broad app permissions to be effective, which may concern users sensitive about local data access.

Minimi is best for people who use an LLM assistant frequently and want to stop repeating context, and for users who prioritize keeping data on their device. It suits knowledge workers who want faster, context-aware responses without moving their history to the cloud, though those on other platforms should note the current desktop focus.



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