Atomic demo: one cloud planning call, 28 local steps, 80% less memory via TurboQuant
testingcatalog · x · 2026-10-09
More technical detail on the Atomic Agent Desktop demo: a cloud model made just one planning call, while local models handled all 28 task steps. The local models run on Atomic's fork of llama.cpp with Google's TurboQuant, which the company says cut memory use for long chats by up to 80% in its tests. The app supports Apple Silicon Macs, Windows, and Linux; cloud models and Fusion use the user's own API key.
Related event: Open-source Atomic Agent Desktop runs local models with cloud planning(2 posts)→
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