What RemCTL Is and Why It Matters
RemCTL is a free, open-source Reminders CLI tool for the macOS command line that exposes nearly every modern feature of Apple’s Reminders app, enabling advanced automation and AI agent integration far beyond what standard public APIs allow. Built to solve the long-standing gap between Reminders’ rich feature set and limited third-party access, RemCTL uses a mix of public and private frameworks to read and write subtasks, tags, sections, rich links, image attachments, grocery lists, templates, and more. That depth makes it different from earlier Reminders CLIs, which were restricted to basics like title, due date, and notes. For power users, this means command-line control that mirrors what the native app can do. For developers and AI systems, it offers a programmable surface that turns Reminders into a serious backend for task workflows.
Going Beyond EventKit: How RemCTL Unlocks Hidden Features
Earlier Reminders command-line tools relied entirely on EventKit, Apple’s public framework, which meant they could not touch sections, tags, subtasks, early reminders, or newer list features. RemCTL takes a different route. It combines Python scripts that read Reminders’ local SQLite database, Swift code that writes standard reminders through EventKit, and an Objective-C bridge to the private ReminderKit framework to handle metadata the public API cannot reach. According to MacStories, this makes it “the only Reminders CLI that can read and write any kind of reminder and Reminders metadata” using this hybrid approach. Because it speaks to the same underlying stack as the Reminders app, anything changed via RemCTL syncs through iCloud as if it had been edited in the native client.
Designed for People and Agents: JSON Output and Skills
RemCTL is built for both human power users and AI agents that live on the desktop. On the human side, commands like `remctl today` output an organized, readable list of tasks, with symbols indicating due dates, alarms, urgency, and list colors. On the machine side, every command supports a `--json` flag, returning structured data that AI agents can consume reliably without scraping terminal text. The project also ships with a dedicated skill so agents such as Codex can install guidance and learn how to call RemCTL commands safely. This dual-mode design means the same Reminders CLI tool works well in interactive shells and fully automated workflows, turning Reminders into a shared workspace where agents can schedule tasks, tag items, and manage templates alongside their human operators.
Installation, Permissions, and Security Trade-offs
Because RemCTL reads the Reminders SQLite database and runs through the system Python interpreter, its installation process highlights macOS permission boundaries. After cloning the GitHub repo and running the bootstrap script, users are walked through a guided onboarding sequence. A dedicated Permissions window appears, showing the Terminal app and the active Python interpreter, while System Settings opens to the Full Disk Access pane so users can grant access with drag and drop. This one-time step is required for RemCTL to inspect Reminders data and automate the app. Additional terminal apps, such as Ghostty or cmux, must be added manually. Once configured, the tool operates as a local companion rather than a cloud service, which will appeal to automation enthusiasts who want open source automation without sending their task data to third-party servers.
What Power Users and Developers Can Build With RemCTL
With full control over Reminders lists, colors, glyphs, tags, and templates, RemCTL enables workflows that were previously impossible or fragile. Users can create lists with specific SF Symbols or emoji, preview available combinations with `remctl list-symbols --preview`, and script advanced behaviors such as auto-tagging, smart list maintenance, or template-driven project setup. For AI agent integration, RemCTL turns Reminders into a stable task database: agents can create urgent reminders, group subtasks under sections, or convert recurring workflows into templates that sync across devices. The result is a bridge between the macOS command line and Apple’s task system that feels native rather than bolted on. For anyone who has treated Reminders as a basic to-do app, this tool reframes it as a programmable task engine ready for serious automation.
