Hold the sampler to the action schema, so a small model calls the tool instead of describing it

Offload what the card can hold, survive a dropped connection, and stop sending prompts the model cannot read

A worker without a readable energy counter refuses to start, and names every backend it tried

Workers print their own code and are claimed from the site; fetch and verify llama.cpp

Drawn mockups instead of recorded demos; delete conversations; drop Llama; fix the weights cache re-downloading

Say how a worker is shared: one access code, any number of people

Library page with tested demos; no-agent veil; energy meters and J/token; 15 new skills; external MCP catalogue; py3.10 gate

initial commit