Aevum Cadence AI

Scheduling

Your assistant does not only answer when you talk. It can also run work on a calendar you define: once at a time, or on a repeating cadence.

That work runs on your machine, in the local assistant process. There is no Cadence Cloud 24/7 home in 0.1. If the computer is asleep or the assistant is stopped, schedules wait.

Why it matters

A lot of useful work is repetitive and time-based: briefings, reminders, follow-ups, polling an inbox. Scheduling is how the assistant does that without you asking each time.

Types of scheduled work

One-shot schedules

A single task at a specific time (an ISO 8601 timestamp plus a message). It fires once, then is marked fired and disabled. This is the unified form of reminders.

Recurring schedules

Tasks that repeat. Under the hood these use 5-field cron or RRULE (RFC 5545). You do not need to write either: describe it in plain language and the assistant translates.

RRULE covers patterns cron cannot: bounded recurrence (COUNT=30 or UNTIL=...), extra or excluded dates (RDATE / EXDATE / EXRULE), and unions of several RRULE lines.

Heartbeats

A heartbeat is a periodic background checklist. The assistant walks HEARTBEAT.md on an interval and only surfaces something when it needs you. It runs in a background conversation, not your active chat.

Config lives in config.json:

The default checklist is relationship-oriented: scratchpad, follow-ups, reach out when there is something worth sharing. Edit HEARTBEAT.md; the next run picks it up.

Watchers

Watchers poll an external service for new events, then run an action prompt you define. Each watcher has a provider (Gmail, Outlook, GitHub, Google Calendar, Outlook Calendar, or Linear), a poll interval (minimum 15 seconds, default 60), and a watermark so events are not processed twice.

Watchers need a connected integration and your keys in the credential store. They do not invent a Cadence-hosted mail or GitHub account.

Playbooks

Trigger-action rules, event-based rather than time-based. Each playbook has a trigger pattern, a natural-language action, a channel (* or a specific one), an autonomy level (auto, draft, or notify), and a numeric priority when rules overlap.

Subagents

Subagents are the on-demand cousin: they spin up now, work in parallel, and report back. A schedule is “do this on a cadence.” A subagent is “do this in parallel right now.” A recurring schedule can spawn subagents each time it fires.

Schedule modes

Execute-mode runs can use skills and tools, still under permissions. Script and notify skip the model and cost less.

There is also a wake behavior: resume an existing conversation with a hint instead of starting a new one. You do not pick it as a mode. It is what the assistant sets up when you say “pick this up tomorrow morning.”

Notification routing

Delivery only works for channels you have actually connected. See Channels.

Lifecycle

Recurring schedules stay active and compute the next run. Each run records status, duration, output, and errors. Ask “show me my schedules” for the list.

When you are away

Schedules, watchers, and heartbeats run only while the assistant process is running on this computer. Put the laptop to sleep and they pause. There is no Aevum-hosted always-on home in 0.1.

The scheduler ticks about every 15 seconds. Missed one-shot schedules fire on the next startup. Recurring schedules compute the next run from now: they do not replay every missed tick.

How to set one up

Say it in plain language:

The assistant handles cron, RRULE, watchers, and playbooks. You can also list, update, and delete them through the assistant.

See also Memory and context and Local hosting.