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

A side-by-side comparison of Minimi and Worktrunk — 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

max-sixty

Free

A Rust CLI that makes git worktrees as easy as branches, built for running several AI coding agents in parallel without collisions.

Branch-Addressed Worktrees: wt switch, wt remove, and wt list refer to worktrees by branch name with paths computed from a configurable template, replacing multi-step git worktree incantations.
Agent Launch in One Command: wt switch -c -x claude <branch> creates the worktree, enters it, and starts the agent in a single invocation.
Lifecycle Hooks: Run commands automatically on create, pre-merge, and post-merge to automate setup and teardown for every new worktree.
LLM Commit Messages: Generates commit messages from the diff so parallel agent branches stay legible without hand-writing every message.
One-Command Merge Workflow: Squash, rebase, merge, and clean up the worktree and branch in a single step rather than a sequence of git commands.
Interactive Picker: Browse worktrees with streaming CI status alongside diff, log, PR, and comment previews before switching.
Shared Build Caches: wt step copy-ignored gives ten worktrees their own target/ and node_modules/ without rebuilding or copying, using reflinks on APFS, btrfs, and XFS.
Per-Worktree Dev Servers: A hash-port template filter assigns each worktree a unique port so parallel dev servers do not conflict.

Parallel Agent Runs: Give each of five to ten concurrently running AI coding agents its own worktree so their edits never collide.
Fast Branch Context Switching: Jump between in-flight changes by branch name instead of navigating sibling directories by path.
Pull Request Review: wt switch pr:123 checks out a pull request's branch directly for local inspection or testing.
Monorepo Iteration: Share heavy build artifacts across many worktrees so each new branch is usable immediately instead of after a full rebuild.
Automated Branch Setup: Use create hooks to install dependencies, copy env files, or start services whenever a worktree is made.
Multi-Branch Status Review: wt list --full shows CI status and AI-generated summaries for every active branch in one view.