275 lines
9.6 KiB
Markdown
275 lines
9.6 KiB
Markdown
---
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summary: "Guidance for choosing between heartbeat and cron jobs for automation"
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read_when:
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- Deciding how to schedule recurring tasks
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- Setting up background monitoring or notifications
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- Optimizing token usage for periodic checks
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---
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# Cron vs Heartbeat: When to Use Each
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Both heartbeats and cron jobs let you run tasks on a schedule. This guide helps you choose the right mechanism for your use case.
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## Quick Decision Guide
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| Use Case | Recommended | Why |
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|----------|-------------|-----|
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| Check inbox every 30 min | Heartbeat | Batches with other checks, context-aware |
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| Send daily report at 9am sharp | Cron (isolated) | Exact timing needed |
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| Monitor calendar for upcoming events | Heartbeat | Natural fit for periodic awareness |
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| Run weekly deep analysis | Cron (isolated) | Standalone task, can use different model |
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| Remind me in 20 minutes | Cron (main, `--at`) | One-shot with precise timing |
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| Background project health check | Heartbeat | Piggybacks on existing cycle |
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## Heartbeat: Periodic Awareness
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Heartbeats run in the **main session** at a regular interval (default: 30 min). They're designed for the agent to check on things and surface anything important.
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### When to use heartbeat
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- **Multiple periodic checks**: Instead of 5 separate cron jobs checking inbox, calendar, weather, notifications, and project status, a single heartbeat can batch all of these.
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- **Context-aware decisions**: The agent has full main-session context, so it can make smart decisions about what's urgent vs. what can wait.
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- **Conversational continuity**: Heartbeat runs share the same session, so the agent remembers recent conversations and can follow up naturally.
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- **Low-overhead monitoring**: One heartbeat replaces many small polling tasks.
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### Heartbeat advantages
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- **Batches multiple checks**: One agent turn can review inbox, calendar, and notifications together.
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- **Reduces API calls**: A single heartbeat is cheaper than 5 isolated cron jobs.
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- **Context-aware**: The agent knows what you've been working on and can prioritize accordingly.
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- **Smart suppression**: If nothing needs attention, the agent replies `HEARTBEAT_OK` and no message is delivered.
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- **Natural timing**: Drifts slightly based on queue load, which is fine for most monitoring.
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### Heartbeat example: HEARTBEAT.md checklist
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```md
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# Heartbeat checklist
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- Check email for urgent messages
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- Review calendar for events in next 2 hours
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- If a background task finished, summarize results
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- If idle for 8+ hours, send a brief check-in
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```
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The agent reads this on each heartbeat and handles all items in one turn.
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### Configuring heartbeat
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```json5
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{
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agents: {
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defaults: {
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heartbeat: {
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every: "30m", // interval
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target: "last", // where to deliver alerts
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activeHours: { start: "08:00", end: "22:00" } // optional
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}
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}
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}
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}
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```
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See [Heartbeat](/gateway/heartbeat) for full configuration.
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## Cron: Precise Scheduling
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Cron jobs run at **exact times** and can run in isolated sessions without affecting main context.
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### When to use cron
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- **Exact timing required**: "Send this at 9:00 AM every Monday" (not "sometime around 9").
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- **Standalone tasks**: Tasks that don't need conversational context.
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- **Different model/thinking**: Heavy analysis that warrants a more powerful model.
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- **One-shot reminders**: "Remind me in 20 minutes" with `--at`.
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- **Noisy/frequent tasks**: Tasks that would clutter main session history.
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- **External triggers**: Tasks that should run independently of whether the agent is otherwise active.
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### Cron advantages
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- **Exact timing**: 5-field cron expressions with timezone support.
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- **Session isolation**: Runs in `cron:<jobId>` without polluting main history.
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- **Model overrides**: Use a cheaper or more powerful model per job.
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- **Delivery control**: Can deliver directly to a channel; still posts a summary to main by default (configurable).
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- **No agent context needed**: Runs even if main session is idle or compacted.
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- **One-shot support**: `--at` for precise future timestamps.
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### Cron example: Daily morning briefing
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```bash
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moltbot cron add \
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--name "Morning briefing" \
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--cron "0 7 * * *" \
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--tz "America/New_York" \
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--session isolated \
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--message "Generate today's briefing: weather, calendar, top emails, news summary." \
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--model opus \
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--deliver \
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--channel whatsapp \
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--to "+15551234567"
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```
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This runs at exactly 7:00 AM New York time, uses Opus for quality, and delivers directly to WhatsApp.
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### Cron example: One-shot reminder
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```bash
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moltbot cron add \
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--name "Meeting reminder" \
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--at "20m" \
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--session main \
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--system-event "Reminder: standup meeting starts in 10 minutes." \
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--wake now \
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--delete-after-run
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```
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See [Cron jobs](/automation/cron-jobs) for full CLI reference.
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## Decision Flowchart
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```
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Does the task need to run at an EXACT time?
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YES -> Use cron
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NO -> Continue...
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Does the task need isolation from main session?
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YES -> Use cron (isolated)
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NO -> Continue...
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Can this task be batched with other periodic checks?
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YES -> Use heartbeat (add to HEARTBEAT.md)
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NO -> Use cron
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Is this a one-shot reminder?
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YES -> Use cron with --at
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NO -> Continue...
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Does it need a different model or thinking level?
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YES -> Use cron (isolated) with --model/--thinking
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NO -> Use heartbeat
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```
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## Combining Both
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The most efficient setup uses **both**:
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1. **Heartbeat** handles routine monitoring (inbox, calendar, notifications) in one batched turn every 30 minutes.
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2. **Cron** handles precise schedules (daily reports, weekly reviews) and one-shot reminders.
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### Example: Efficient automation setup
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**HEARTBEAT.md** (checked every 30 min):
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```md
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# Heartbeat checklist
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- Scan inbox for urgent emails
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- Check calendar for events in next 2h
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- Review any pending tasks
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- Light check-in if quiet for 8+ hours
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```
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**Cron jobs** (precise timing):
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```bash
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# Daily morning briefing at 7am
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moltbot cron add --name "Morning brief" --cron "0 7 * * *" --session isolated --message "..." --deliver
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# Weekly project review on Mondays at 9am
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moltbot cron add --name "Weekly review" --cron "0 9 * * 1" --session isolated --message "..." --model opus
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# One-shot reminder
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moltbot cron add --name "Call back" --at "2h" --session main --system-event "Call back the client" --wake now
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```
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## Lobster: Deterministic workflows with approvals
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Lobster is the workflow runtime for **multi-step tool pipelines** that need deterministic execution and explicit approvals.
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Use it when the task is more than a single agent turn, and you want a resumable workflow with human checkpoints.
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### When Lobster fits
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- **Multi-step automation**: You need a fixed pipeline of tool calls, not a one-off prompt.
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- **Approval gates**: Side effects should pause until you approve, then resume.
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- **Resumable runs**: Continue a paused workflow without re-running earlier steps.
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### How it pairs with heartbeat and cron
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- **Heartbeat/cron** decide *when* a run happens.
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- **Lobster** defines *what steps* happen once the run starts.
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For scheduled workflows, use cron or heartbeat to trigger an agent turn that calls Lobster.
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For ad-hoc workflows, call Lobster directly.
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### Operational notes (from the code)
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- Lobster runs as a **local subprocess** (`lobster` CLI) in tool mode and returns a **JSON envelope**.
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- If the tool returns `needs_approval`, you resume with a `resumeToken` and `approve` flag.
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- The tool is an **optional plugin**; enable it additively via `tools.alsoAllow: ["lobster"]` (recommended).
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- If you pass `lobsterPath`, it must be an **absolute path**.
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See [Lobster](/tools/lobster) for full usage and examples.
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## Main Session vs Isolated Session
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Both heartbeat and cron can interact with the main session, but differently:
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| | Heartbeat | Cron (main) | Cron (isolated) |
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|---|---|---|---|
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| Session | Main | Main (via system event) | `cron:<jobId>` |
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| History | Shared | Shared | Fresh each run |
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| Context | Full | Full | None (starts clean) |
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| Model | Main session model | Main session model | Can override |
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| Output | Delivered if not `HEARTBEAT_OK` | Heartbeat prompt + event | Summary posted to main |
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### When to use main session cron
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Use `--session main` with `--system-event` when you want:
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- The reminder/event to appear in main session context
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- The agent to handle it during the next heartbeat with full context
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- No separate isolated run
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```bash
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moltbot cron add \
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--name "Check project" \
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--every "4h" \
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--session main \
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--system-event "Time for a project health check" \
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--wake now
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```
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### When to use isolated cron
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Use `--session isolated` when you want:
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- A clean slate without prior context
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- Different model or thinking settings
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- Output delivered directly to a channel (summary still posts to main by default)
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- History that doesn't clutter main session
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```bash
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moltbot cron add \
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--name "Deep analysis" \
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--cron "0 6 * * 0" \
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--session isolated \
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--message "Weekly codebase analysis..." \
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--model opus \
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--thinking high \
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--deliver
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```
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## Cost Considerations
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| Mechanism | Cost Profile |
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|-----------|--------------|
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| Heartbeat | One turn every N minutes; scales with HEARTBEAT.md size |
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| Cron (main) | Adds event to next heartbeat (no isolated turn) |
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| Cron (isolated) | Full agent turn per job; can use cheaper model |
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**Tips**:
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- Keep `HEARTBEAT.md` small to minimize token overhead.
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- Batch similar checks into heartbeat instead of multiple cron jobs.
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- Use `target: "none"` on heartbeat if you only want internal processing.
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- Use isolated cron with a cheaper model for routine tasks.
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## Related
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- [Heartbeat](/gateway/heartbeat) - full heartbeat configuration
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- [Cron jobs](/automation/cron-jobs) - full cron CLI and API reference
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- [System](/cli/system) - system events + heartbeat controls
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