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Multilarm, developed by Ali Muhammad and currently at version 1.2026.907 (with four released versions to date), is an institutional-grade audio scheduler and multi-zone public-address system available for Windows, Linux, and Raspberry Pi. Its core purpose is to fire scheduled audio to the exact second while operating fully offline, making it suitable for environments where reliability cannot depend on an internet connection. Typical use cases include school bell systems, factory shift announcements, zone-based PA for care homes and hotels, timed narrations in museums, shuffle scheduling for community radio, and prayer-time Adhan broadcasts. As an offline-first product, it runs as a Windows Service accompanied by a system-tray companion application, and it bundles the Kokoro neural text-to-speech engine, which functions offline from the very first launch. Beyond its standalone capabilities, Multilarm offers a set of optional extras that extend it into integrated and remotely managed deployments: a cloud dashboard for remote control from anywhere, browser-based and console push-to-talk, MQTT and webhook integration, and an external trigger HTTP API designed to connect with nurse-call systems, building management systems, and timetable software. These features position the software within the audio scheduling and public-address automation category, serving both simple standalone installations and more complex institutional infrastructures. The licensing model distinguishes between private and professional use: Multilarm is free for personal, non-commercial purposes, while any business or institutional deployment requires a commercial licence. This combination of precise offline scheduling, cross-platform support, embedded speech synthesis, and optional cloud and integration features makes Multilarm a flexible solution for organizations that need dependable, automated audio announcements across one or many zones, whether managed locally on a single machine or coordinated remotely across multiple sites.
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