Minimi vs siift: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Minimi and siift — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Minimi

Shram

Paid

Minimi is an ambient memory Mac app that quietly captures tabs, documents, calls, and Slack threads to provide context for Claude.

Ambient Memory Capture: Continuously records user activity on macOS — including open browser tabs, documents, calls, and Slack threads — to create a persistent context layer.
Claude Context Integration: Supplies collected context to Claude to improve response relevance and maintain continuity across conversations.
Background Mac App: Runs quietly on the Mac, minimizing user friction while maintaining an ongoing record of interactions across apps.
Meeting Notetaker Support: Enables creation of live artifacts such as Mini-scribe, a Granola-style AI meeting notetaker that operates entirely on Minimi memory.
Inbox for Incomplete Conversations: Acts as an AI inbox that surfaces and preserves incomplete or ongoing conversations for follow-up and continuity.
Context-First Responses: Ensures every Claude response can start with rich, user-specific context gathered from recent activity.
Continuous background capture of user activity (browser tabs, documents, calls, Slack threads)
Centralized ambient memory to provide context to Claude conversations
Inbox-style management for incomplete or ongoing conversations
Enables context-rich downstream tools (e.g., meeting notetakers like "Mini-scribe")
Quiet/background operation aimed at minimizing user friction

Enhancing Claude chat quality by pre-loading recent tabs, documents, and messages so answers reflect the user's current context and work.
Automated meeting notetaking: running a Mini-scribe artifact that uses Minimi memory to generate meeting notes and action items without manual setup.
Managing an inbox of incomplete or pending conversations, enabling easier follow-up and continuity across asynchronous threads.
Research and writing assistance: providing the assistant with the user's active documents and tabs so drafting and summarization use accurate source context.
Cross-app context retrieval: surfacing recent Slack discussions, call notes, and opened documents to inform decisions and reduce repetitive explanations.
Provide persistent context to Claude for better, context-aware assistant responses
Automatically capture meeting context to power AI meeting notes and summaries
Aggregate fragmented conversation threads (email, Slack, docs) into a unified inbox of incomplete tasks
Recall past interactions and documents when composing responses or continuing conversations
Power custom Claude-based agents that rely on personal desktop context

Freemium

An agentic AI operating system that helps founders map, validate and execute business strategy on one intelligent canvas.

Intelligent Business Canvas: A visual workspace that maps ideas, assumptions, actions and results into decision-ready filters so the whole business can be seen at once.
Living Memory System: A scalable agentic memory that learns as the business evolves and keeps context aligned across tools, data and teammates.
AI-Scored Validation: Automated, continuous research that grades assumptions into evidence so founders know what is validated and what is still risky.
Five-Stage Execution Loop: Guided progression through Ideate, Validate, Build, Go To Market and Scale, each with its own AI-driven workflow.
Safe Stack Automations: Human-in-the-loop actions across 80+ popular applications so approved work executes without leaving the canvas.
Shareable Workspaces: Collaborative views that let teammates, advisors and other stakeholders work from the same strategy context.
Proactive Next-Step Guidance: Personalized, iterative advice that surfaces the highest-leverage action rather than a generic checklist.
Credit-Based AI Usage: Monthly request credits scaled by plan and weighted by task complexity, with unlimited projects even on the free tier.

Idea Validation: De-risking a new business concept by turning founder assumptions into automatically researched, scored evidence before building.
Strategy Mapping: Turning a cloud of unstructured ideas into a visual mind-map that exposes blindspots across the business model.
Go-To-Market Planning: Iterating on sales and marketing with an AI-native loop that tests which channels actually produce revenue.
Product Prioritization: Helping product leaders decide what to build next based on verified market opportunities rather than intuition.
Scaling Diagnostics: Systematizing an existing business to surface its current growth constraints and reverse-engineer fixes.
Advisor Collaboration: Sharing a single live strategy workspace with co-founders, advisors and investors instead of static decks.