What RemCTL Is and Why It Matters
RemCTL is a free, open source command line reminders tool that exposes the complete, modern Apple Reminders feature set to macOS users and AI agents through a scriptable CLI interface. Built to behave like a native extension of Reminders, it can read and write tasks, subtasks, tags, sections, templates, rich links, image attachments, grocery lists, urgent reminders, and more, then sync those changes through iCloud as if they came from the app itself. That scope is what makes RemCTL stand out: earlier macOS CLI utilities relied only on EventKit and were limited to basic reminder fields, leaving advanced capabilities locked inside private APIs. RemCTL bridges that gap by combining EventKit, the Reminders SQLite database, and the private ReminderKit framework, giving power users and automation workflows API-level control over nearly every Reminders feature available on iOS and macOS 26.
From Limited CLIs to a Full Open Source Reminders API
RemCTL positions itself as more than another macOS CLI automation helper for tasks: it behaves as an open source reminders API layered on top of Apple’s own stack. Earlier tools could create and read simple reminders using public EventKit endpoints, but they could not touch sections, tags, smart lists, pinned lists, urgent reminders, or templates because those live behind private APIs. According to MacStories, RemCTL is "the only Reminders CLI that can read and write any kind of reminder and Reminders metadata" by mixing Python, Swift, and Objective‑C code that talks to both the Reminders database and ReminderKit. For developers, that means they can script complete Reminders workflows without building a full GUI app or reverse‑engineering the system themselves, and they can keep everything inside a terminal-first environment.
A Command Line Reminders Tool Designed for People and Agents
RemCTL was built for human power users and AI agent integration in equal measure. On the surface, it behaves like a friendly macOS CLI automation tool: users can run commands such as "remctl today" to see what is due, create recurring reminders, or generate complex tasks with subtasks in specific sections and lists. Output is formatted with symbols, colors, and emoji, making terminal views surprisingly readable. Under the hood, every command supports a --json flag so agents receive structured data instead of human-oriented text. That small design choice matters: it turns RemCTL into a stable bridge between Apple Reminders and AI coding tools or desktop agents that need to parse, reason about, and update task data reliably. It is effectively a thin, scriptable layer over the full Reminders feature set.
Installation, Permissions, and Native-Like Sync
Because RemCTL reads from Reminders’ local SQLite database and calls into system frameworks, installation comes with an opinionated onboarding flow. After cloning the GitHub repo and running the install script, users are guided through macOS automation prompts and a custom Permissions window that explains why Terminal and Python need Full Disk Access. This visual approach helps demystify the setup while keeping security expectations clear. Once configured, RemCTL reads data from the Reminders group container, writes standard fields through EventKit, and writes private attributes via ReminderKit, mirroring how the Reminders app works. All changes sync over iCloud without any extra configuration, since the tool operates on the same underlying store. For developers and tinkerers, that means their scripts and agents can rely on the same sync behavior they already trust in the native app.
New Automation Possibilities for Power Users and AI Agents
RemCTL’s feature coverage opens new kinds of workflows that were previously hard or impossible to automate. Power users can script rich task templates for projects, complete with sections, tags, and subtasks; create color‑coded lists from the terminal; or query urgent reminders across smart lists. An interactive "remctl list-symbols --preview" command can even launch a browser-based playground to preview list colors and icons before an automation assigns them. For AI agent integration, RemCTL’s bundled skill file teaches agents how to call the CLI, interpret JSON responses, and manage reminders end-to-end. That turns Apple Reminders into a programmable task backend for desktop agents without requiring a separate cloud service. In effect, RemCTL bridges the gap between a consumer task app and developer-grade automation, making the full Reminders stack available to scripts, shells, and intelligent tools.
