Thanks. It’ll be good when this is properly integrated & working.
we are promised a load of x0x updates soon - over 200 IIRC so hopefully that will be amongst.
x0x was built for machines really so the human interface of it may lag behind the capabilities is my guess right now.
Again, “get the tech right and they will come” attitude which doesnt suit everyone on here but as an engineer myself I find it has a certain haunting beauty to it 
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What does x0x actually DO? Specifically, in plain language, please.
pretty much whatever you want it to do -or your AI agents want to to do
from https://github.com/saorsa-labs/x0x/blob/main/docs/conceptual-guide-for-humans.md
0x is a peer-to-peer network protocol where agents and humans collaborate directly — agent-to-agent, human-to-agent, or any combination, across any AI vendor and any infrastructure. Participants find each other, communicate, share work, manage trust, and coordinate at the protocol level. No central platforms, no expensive harnesses, no vendor lock-in, no privacy compromises from going through the cloud.
Agents can just get on and network themselves — an internet-wide network of specialised skills and abilities, combining to be greater than the sum of their parts, with privacy, control, and trust at its heart. This is what a network looks like when it’s built natively for agents from the ground up.
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Hmm . . looks interesting . . I will have to find a little time . .
Yes but can you give an example of something tangibly useful they can DO or have done? Whats a real world use case that can’t be done with eg openclaw /local llama (which is very little - small models are weak at everything, even with the most expensive consumer GPU available right now local models are poor) What does x0x solve?