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.
jacobgold•1h ago
Clor ships a toolbox of CLIs that claws can call directly (but don't have to), grouped into simple areas like Inference (Claude/GPT/Gemini/OpenRouter), Web (search and scraping), Email (IMAP/SMTP), Drive (cloud storage), Pages (static web hosting, SPAs), Notifications, Social, Domains, Weather, and Secrets. This makes claws dramatically more efficient and deterministic.
The big AI companies have tried building some claw-like functionality, but I think they're missing that claws need to be their own first class primitive inside every agent. Today we're open sourcing the CLAW.md format. It's completely vendor-neutral, and we're hoping to work with other companies to improve it:
Website: https://agentclaws.io
GitHub: https://github.com/agentclawsio/agentclaws
Happy to get into the technical details or anything else. Thank you!