GhostWriter by MyHandler vs Memmy: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of GhostWriter by MyHandler and Memmy — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
GhostWriter by MyHandler
MyHandler.ai
Windows writing assistant that reads the screen around your cursor on a hotkey double-tap and types a context-aware draft in your voice.
Key features
- Hotkey Double-Tap Drafting: No prompt or dictation is needed — a double-tap with the cursor in any text field triggers capture and drafting directly in place.
- Screen Context Capture: Reads the thread, form or partial sentence surrounding the cursor locally on the machine, using that on-screen context as the entire input.
- Writing Intent Classification: Determines whether the moment calls for a reply, a continuation, a filled-in answer or a fresh compose before writing a single word.
- Sender and Identity Mapping: Maps each message in a thread to its sender and works out which handle is the user's, so the draft answers the other party rather than the user's own words.
- Calendar Cross-Check: When a draft proposes a time, it is validated against the next two weeks of a connected calendar before the text appears.
- Selection Rewriting: Selecting existing text before the hotkey rewrites that selection instead of composing something new.
- Nothing Sent Automatically: The generated text appears at the cursor for the user to read, edit or delete; sending always remains a manual step.
- Local Vault with Zero-Retention Cloud: Capture runs against an encrypted vault on the user's own PC and the assembled context is processed by a zero-data-retention cloud model.
Best for
- Email Backlog: Clearing a queue of owed replies by drafting each one from the thread already on screen instead of retyping the same answer.
- Chat and Slack Replies: Answering a message in a team chat where the draft is grounded in who asked whom for what in the visible thread.
- Web Form Completion: Filling a blank answer box under a question on a web form or application without switching to a separate chat window.
- Sentence Continuation: Picking up a half-written paragraph exactly where it stops, without the assistant restating what was already typed.
- Meeting Scheduling Replies: Responding to a request for a time with a proposal that has already been checked against the user's calendar.
- Tone-Sensitive Rewrites: Selecting a blunt or rough draft and having it rewritten in the user's own voice before sending.
Memmy
Memmy
A local-first AI memory layer that lets the desktop app, CLI, and external AI tools share the same long-term context about you.
Key features
- 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.
Best for
- 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.