I built an open source background agent inspired by Ramp Inspect
Self-hosted coding agent runner when GitHub Copilot already does this in cloud.

Scheduled AI agents for devs when Zapier and cron scripts already exist.
Developers wanting scheduled AI automations, DevOps engineers
Zapier · n8n · Hermes
I also spent 20 years leading Linux infrastructure and distributed systems teams. Anyone who's written service daemons knows that most of what we think of as "always on" is really just wake up, do some work, and go back to sleep, which is an efficient pattern to use and reason about. Cron has worked this way for decades.
So I built Clor, a CLI that lets your coding agent create "claws", which are background agents that automate anything on a schedule and run on your laptop, Mac mini, or a VM.
A claw can be defined and shared as a single CLAW.md file, which contains a bit of metadata (name, schedule, personality, etc.) and one or more ordered tasks. Each task is a real agent run with full tool use, or a plain bash step. Anything you can ask your agent to do once, a claw can do repeatedly. One of my claws tidies my inbox every few minutes, labeling obvious spam, rescuing legit email that got mislabeled, and starring threads I owe a reply to, etc. It's way smarter than Gmail's filters because it actually reads my mail instead of just matching rules.
Installing is the usual command on Linux/macOS in the terminal: curl -fsSL https://clor.com/install.sh | bash. That will set up the CLI, a small scheduling daemon, and a skill that you can run from your agent, /claws in Claude Code or $claws in Codex.
Self-hosted coding agent runner when GitHub Copilot already does this in cloud.
Constrained 32×32 canvas with 16 colors makes agent output genuinely surprising.
Another managed AI agent platform in a sea of Zapier AI clones.
Production-tested MCP agent coordination with 500+ tasks completed in 6 weeks.
Zapier and Make already do scheduled automation; the AI wrapper doesn't add clear differentiation.
Calendar view for agent utilization fills a gap between fire-and-forget and full orchestration.