May 2026 Summaries

OpenJarvis is an open-source framework developed by Stanford's Hazy Research and Scaling Intelligence labs, aimed at creating personal AI agents that operate on local hardware instead of relying heavily on cloud services. This initiative, part of their "Intelligence Per Watt" research, emphasizes energy efficiency, cost-effectiveness, and reduced latency while maintaining accuracy. Version 1.0 of OpenJarvis is now available with integrated support for Ollama, allowing users to install and configure it on macOS, Windows, or Linux. The framework allows users to choose and pull various models for specific queries and set default models for continuous use. OpenJarvis also includes built-in agents for tasks such as generating morning briefings, conducting research across files and the web with citations, and running local Python code, all supported by easy-to-use presets for different functionalities.