Serious question: why? What are the use cases and workflows?

eleventyseven an hour ago | parent | next [-]

The various *claws are just a pipe between LLM APIs and a bunch of other API/CLIs. Like you can have it listen via telegram or Whatsapp for a prompt you send. Like to generate some email or social post, which it sends to the LLM API. Get back a tool call that claw then makes to hit your email or social API. You could have it regularly poll for new emails or posts, generate a reply via some prompt, and send the reply.

The reason people were buying a separate Mac minis just to do open claw was 1) security, as it was all vibe coded, so needs to be sandboxed 2) relay iMessage and maybe 3) local inference but pretty slowly. If you don't need to relay iMessage, a raspberry pi could host it on its own device. So if all you need is the pipe, an ESP32 works.

	▲	yoyohello13 2 minutes ago \| parent \| next [-]
		I’m running my own api/LLM bridge (claw thing) on a raspberry pi right now. I was struggling to understand why all the Mac mini hype when nobody is doing local inference. I just use a hook that listens for email. Email is especially nice because all the conversation/thread history tracking is built in to email already.
	▲	grigio 17 minutes ago \| parent \| prev [-]
		yeah i still can't believe many people bought a mac mini just for the claw hype

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grzracz 2 hours ago | parent | prev | next [-]

I don't fully get it either. At least agents build stuff, claws just run around pretending to be alive?

	▲	codazoda 39 minutes ago \| parent [-]
		They do build things. The same things.

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milar 2 hours ago | parent | prev [-]

for fun!