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minimi
Your ambient memory layer for Claude.
What it does
• Captures digital activity across macOS apps, documents, meetings, and browser tabs continuously in the background. • Indexes local vector embeddings privately on-device without exposing raw content to cloud servers. • Connects seamlessly to Claude via a Model Context Protocol (MCP) custom connector interface. • Surfaces closed loops, action items, and cross-app team insights through natural language queries.
Why it works
Local-first vector storage ensures high privacy and keeps user memory data securely on their Mac. Model Context Protocol (MCP) native integration allows direct data streaming into Claude without copy-pasting. Install-and-forget workflow runs completely in the background without requiring manual context-saving steps. Benchmarked high long-term recall accuracy outperforms traditional generic RAG and search pipelines.
Category: AI & Automation
Team Size: 2-10
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As of 2026
AI & Automation
Revenue: 0-$100k ARR
Your ambient memory layer for Claude.
Overview
Minimi is a macOS menu bar application that acts as an ambient, on-device memory layer for Claude. It quietly captures and indexes activity across browser tabs, documents, calls, and chat threads to build a private personal memory store. Through a Model Context Protocol (MCP) connector, it feeds live context directly to Claude so users can query past decisions without manual context reloading. The system helps knowledge workers eliminate repetitive re-briefing while maintaining strict local data ownership.
Funding status: Bootstrapped
Revenue source: Freemium SaaS
Customer type: B2B2C
Funding: Backed by Shram Intelligence
Pricing: Freemium
Tech stack: Swift, macOS AppKit, Model Context Protocol, Vector Database, Local Embeddings
Platform: Desktop
Integrations: Claude, Model Context Protocol (MCP), Slack, Gmail, Google Calendar, macOS apps
Founder story
Minimi was developed by Shram Intelligence, Inc., based in Lewes, Delaware, to solve the friction of starting from scratch every time users open an AI assistant. Built by a team focused on workflow intelligence, the tool provides an ambient memory layer that tracks daily professional context across macOS environments.
What it does
- • Captures digital activity across macOS apps, documents, meetings, and browser tabs continuously in the background
- • Indexes local vector embeddings privately on-device without exposing raw content to cloud servers
- • Connects seamlessly to Claude via a Model Context Protocol (MCP) custom connector interface
- • Surfaces closed loops, action items, and cross-app team insights through natural language queries.
Who it's for
- Software Engineers
- Product Managers
- Founders
- Knowledge Workers
Why it works
- Local-first vector storage ensures high privacy and keeps user memory data securely on their Mac
- Model Context Protocol (MCP) native integration allows direct data streaming into Claude without copy-pasting
- Install-and-forget workflow runs completely in the background without requiring manual context-saving steps
- Benchmarked high long-term recall accuracy outperforms traditional generic RAG and search pipelines.
Growth strategies
- Product Hunt launches and viral tech community word- of-mouth distribution
- Targeting AI power users and Claude ecosystem adopters seeking context layers
- Team workspace sharing mechanics enabling collective company intelligence graphs
- Continuous benchmark performance enhancements for long- term memory retrieval
Alternatives
Comparison overview
- [Operates as a dedicated native macOS menu bar app with deep Model Context Protocol (MCP) integration for Claude , Stores embeddings locally on-device for enhanced privacy compared to standard cloud-synced memory tools , Focuses specifically on capturing ambient work context across disparate applications without manual logging]