Gateway restarts. Model timeouts. Rate limits. Your monitoring goes dark and you don't notice for hours. Daemon Engine converts polling crons into standalone daemons that survive everything.
Every polling cron spawns a full agent, loads model context, does a 2-second check, then shuts down. Multiply that across 15 crons and you're burning massive gateway resources on tasks that don't need AI.
200+ agent spawns per hour from polling crons. Each spawn loads full context for a 2-second email check. Your gateway is drowning in busywork.
Gateway restart? Cron stops running. Model timeout? Cron fails silently. Rate limit? Cron skips. You only notice when something's been missed for hours.
Every cron check takes 5–10 seconds because the agent has to spawn and load context. Simple "is there new email?" shouldn't take 10 seconds.
Every cron spawn costs tokens. You're paying AI model costs to check if a file exists or count unread emails. That's burning money on non-AI work.
We went from 21 crons to 11 + 5 independent daemons. Gateway load cut in half. No missed checks in 30 days.
Daemon Engine identifies which crons are simple polling tasks (email checks, API status, delivery tracking), generates standalone Python daemons for each, installs them with launchd, and monitors their health 24/7.
Scans your existing OpenClaw crons and identifies which ones are polling tasks vs. AI-reasoning tasks. Email scanning, API checks, delivery tracking — all candidates for conversion.
Generates standalone Python daemons for each convertible cron. Pure Python, no agent spawns, no context loading — just the check logic running continuously.
Creates macOS launchd plists for each daemon. Auto-start on boot, auto-restart on failure, persistent across system restarts. Your polling never stops.
Dedicated health monitor daemon checks all other daemons every 5 minutes. Process running? State file updating? Auto-restart on failure, Telegram alerts on issues.
Daemons run outside your OpenClaw gateway. Gateway crashes? Daemons keep running. Model timeout? Doesn't affect polling. Rate limit? Not your daemons' problem.
Daemon checks complete in <1 second vs. 5–10 seconds for cron agent spawns. Faster detection means faster action.
We went from 21 crons (15 polling) to 11 crons + 5 daemons. Agent spawns dropped from 200+/hour to 50/hour. Token usage down 40%. Your mileage will vary, but every converted cron is a win.
Email/iMessage scanning (new message checks), API polling (status updates), delivery tracking, connection health checks, file monitoring, database polling, network device status, backup verification. Anything that's "check if X changed" without needing AI reasoning.
Email response generation, dispatch planning, invoice generation, report analysis, any multi-step reasoning. These stay as crons because they need the AI to think, not just check.
Run daemon-converter.py --scan. It reads your OpenClaw crons and identifies conversion candidates based on naming patterns, schedules, and task descriptions.
See which crons are convertible, which aren't, and why. Review the proposed daemon implementations before any changes are made.
Run daemon-converter.py --convert --approve. It generates Python daemons, creates launchd plists, installs everything, starts the daemons, and verifies they're working.
Every install is protected — full system snapshot before any changes, one-click restore if needed. Learn more →
Install Daemon Engine in 5 minutes. Cut your gateway load by 30–50%. Never miss a poll again.
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