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

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

Memmy

Freemium

A local-first AI memory layer that lets the desktop app, CLI, and external AI tools share the same long-term context about you.

Self-Evolving Long-Term Memory: Automatically ingests your local AI collaboration history and structures scattered conversations and decisions into evolving memory.
Cross-Tool Memory Relay: Switch between Cursor, Claude, and other agents without re-explaining project context — Memmy carries decisions across tools.
Local-First Architecture: Memory stays on your machine, so preferences and history are not tied to a single vendor's cloud.
Desktop App and CLI Access: Read and write the same memory from the desktop app or the command line, so scripts and agents share one source of truth.
External Agent Integration: Expose the same memory to other AI agents so every tool has consistent knowledge of your preferences and decisions.
Preference and Decision Capture: Records rules like preferred frameworks and stylistic choices so you never need to repeat them in each new session.
Cross-Platform Downloads: Native builds for Mac ARM64 and Windows x64.
Free Trial Tokens: New users get a large token allotment to try Memmy against their real workflow before paying.

Switching Between Cursor and Claude Code: Carry project decisions, style, and open questions across coding assistants without re-briefing.
Personal Assistant Continuity: Keep a consistent long-term memory of your goals and preferences across chat, coding, and writing agents.
Team Onboarding via Shared Memory: Bootstrap a new agent on the same structured memory another agent has been building up.
Local-Only Knowledge Work: Store preferences and history on-device for privacy-sensitive workflows.
CLI-Driven Automation: Use the CLI to seed or query memory from scripts that run alongside interactive AI sessions.
Long Projects: Maintain evolving technical decisions across weeks of work with multiple AI tools without drift.

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.