OpenJarvis, an open-source framework for building local-first personal AI agents, is now available with built-in Ollama support. Developed by Stanford’s Hazy Research and Scaling Intelligence labs, it runs models on users’ own hardware by default while offering optional cloud use and tracking energy, cost, latency, and accuracy. Version 1.0 includes ready-to-run agent presets for tasks such as morning briefings, research across local files and the web, and local coding.

OpenJarvis, an open-source framework for building personal AI agents that run locally on your own hardware, is now available with built-in support for Ollama. Developed by Stanford researchers, it prioritizes local processing to reduce energy use, costs, and latency while keeping cloud access optional. Users can install it on macOS, Windows, or Linux and choose from pre-built agents for tasks like morning briefings, research, or coding.