OpenJarvis: Personal AI, On Personal Devices

In three linesOpenJarvis presents a decomposed personal AI stack architecture with five primitives (Intelligence, Engine, Agents, Tools & Memory, Learning) to run tasks locally without routing sensitive data to cloud. Using LLM-guided spec search, on-device specs match or exceed cloud accuracy on 4/8 benchmarks, reduce API cost by ~800x and end-to-end latency by 4x.

Summary generated by Claude — human-verified