minimi: AI personal assistant for memory and follow-ups

A Mac assistant for context and open loops

Visit site ↗projectminimi.com
projectminimi.com
minimi screenshot

minimi is a Mac AI assistant that builds a personal memory from your digital activity, finds outstanding commitments, and makes relevant context available to an AI model you choose. It is aimed at people who switch between conversations, documents, meetings and apps and lose track of what they promised to do.

What is minimi, in plain English?

Think of minimi as a memory and follow-up layer for your Mac. Its Open loops Inbox looks for high-value action items in the context it captures. The company says it traces decisions so that an item can be resolved when the underlying work is done. Cotton is the memory component; the home page presents Melody as the part that follows up on open loops. This is more specific than a blank chatbot: its value depends on what it can observe and remember from your own work.

From a loose promise to an open loop

A practical use case is a conversation in which you promise to send a file, then move to another app. minimi says it can identify that commitment without requiring a separate integration for every app. Its examples include WhatsApp, Gmail and Calendar. Review the Inbox to decide which suggested items really need action. The public site does not document a guaranteed detection rate or every possible action, so keep your normal checks for critical deadlines.

Connect your Mac memory to an LLM

For the memory workflow, the official setup page says to download the Mac app, sign in, copy the MCP link into your chosen LLM's custom connector, and start a new chat. The page names Claude, ChatGPT and Gemini as examples. You can then ask where you left off, what was decided in a meeting, or what you promised by a date. Check the answer against the original source before relying on an important detail. A compatible custom connector is a prerequisite; the site does not publish a general API or Windows and mobile downloads.

What stays on your Mac, and what leaves it?

According to minimi's privacy policy, its on-device memory is stored locally, not in a company cloud database. That does not mean all processing is offline. Relevant content is sent transiently to Gemini for embeddings, OpenAI for action items and decision tracing, and Deepgram for transcription. When you query memory through MCP, the relevant retrieved slice goes to the LLM you connected, under that provider's own terms. The site says it reads screen content through macOS accessibility rather than taking screenshots. Microphone and system audio need permission; obtain any required consent before capturing other people. The policy says you can delete memory inside the app or by uninstalling it.

Availability, pricing and fit

The public download is for Mac. As checked on 26 September 2026, the public pages do not give a current price, free allowance or feature-by-plan table. The terms discuss subscriptions and possible trials, so do not assume the app is permanently free. Check the offer shown during sign-up and the refund policy before paying. minimi is most relevant if your work already happens on a Mac and you want continuity across apps; it is a poor fit if you require a documented fully offline pipeline or another operating system.

Frequently asked questions

Does minimi write my to-do list automatically?

The site says it finds high-value open action items and resolves loops by tracing decisions. It does not promise to catch every task. Review important commitments yourself.

Can I use minimi memory with Claude or ChatGPT?

The official memory page lists both, alongside Gemini, and instructs you to add its MCP link to a custom connector. Actual access depends on the connector available in your chosen LLM.

Is my data entirely local?

The memory database stays on the Mac, but relevant content is processed transiently by named providers, and a selected LLM receives retrieved slices when you query it. Read the privacy policy before enabling sensitive capture.

Official resources

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