Jon Saad-Falcon releases OpenJarvisAI v1.0 to run local, low-power AI agents on user devices
The software ships with eight prebuilt local task agents.
Cool stuff! DC inference is supply bound - makes sense to offload intelligence locally when you can!
The dominant story in AI has been the growing cloud: bigger clusters, larger models, more gigawatts. We believe the future is in the opposite direction: on-device inference, smaller models, watts instead of gigawatts. Today we're releasing @OpenJarvisAI v1.0: a personal AI assistant that lives, learns, and works on your device.
I've been excited about the potential of local-first software for nearly a decade; I now believe genAI apps might be the perfect use case for it. Local-first AI apps will be faster, more private, and more efficient. In other words, usable. Super stoked for this release.
on device is under appreciated for workflows like email triage. can't wait to try this out!
The dominant story in AI has been the growing cloud: bigger clusters, larger models, more gigawatts. We believe the future is in the opposite direction: on-device inference, smaller models, watts instead of gigawatts. Today we're releasing @OpenJarvisAI v1.0: a personal AI assistant that lives, learns, and works on your device.