

Ask Claude about anything you did on Mac.
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Minimi is a macOS menu bar app that acts as an ambient, on-device memory layer for Claude. It quietly observes what passes through your Mac browser tabs, documents, calls, and Slack threads and turns that activity into an indexed memory store. Through a Model Context Protocol (MCP) connector, Claude can query that private memory so users can ask natural questions about their day, their projects, and past decisions without endlessly re-briefing the model.
Huge reduction in re-briefing Claude: Eliminates most of the copy-paste and recap steps before each conversation, which saves time and mental effort.
Strong privacy posture: Memory stays on-device in an encrypted vector store, appealing to users who are wary of cloud logging or third-party data access.
High-quality retrieval: Benchmark results suggest stronger long-term recall than many generic embedding-plus-search setups, which should translate into more accurate answers.
Great fit for knowledge workers: Especially helpful for people whose work is scattered across calls, docs, tabs, and Slack, where manual note-taking rarely captures everything.
Low-friction setup for Claude users: MCP connector configuration is straightforward for anyone already familiar with Claude’s custom connectors.
Mac-only: Windows and Linux users are out of luck for now, which limits adoption in many teams.
Claude-specific: Designed around Claude’s MCP ecosystem, so people who primarily use other models cannot take advantage of the memory layer yet.
Always-on capture can feel intense: Even with on-device storage, some users may be uncomfortable with an app that continuously watches screen and call activity.
Disclaimer: Please note that pricing information may not be up to date. For the most accurate and current pricing details, refer to the official Minimi website.
Minimi focuses tightly on one idea: let Claude see everything relevant that has passed through a user’s Mac while keeping that memory completely local and private. Instead of relying on manual notes or explicit project uploads, it turns real activity across apps into a searchable long-term memory backed by a strong benchmark story and a clear encryption model. That combination of ambient capture, on-device storage, and dedicated Claude MCP integration gives it a distinct place among AI memory tools.
Minimi delivers a focused proposition for people who live in Claude all day and are tired of rebuilding context from scratch. By watching real Mac activity and turning it into private, high-quality memory that Claude can query, it makes AI assistance feel far more grounded in what actually happened in a user’s workday. The Mac-only and Claude-only scope will not fit everyone, but for heavy Claude users who value both recall and privacy, Minimi is a very compelling way to make their assistant feel genuinely informed instead of forgetful.