Local-Ai

The PC industry has officially gained a new category. AMD announced today that it is formally introducing the Agent Computer — a class of always-on desktop hardware built specifically to run AI models and autonomous agents locally, 24 hours a day, seven days a week, without any dependency on cloud infrastructure. It’s a significant moment. Hardware categories don’t get invented every year, and when they do, it’s usually because software demand has outpaced existing form factors. In this case, the software is agentic AI, and the demand is real: developers, researchers, and enterprises increasingly want AI agents running persistently — not as cloud calls with per-token billing, but as local processes that are always available, always private, and always free from inference cost. ...

Stanford researchers just released OpenJarvis — a local-first framework for building AI agents that run entirely on-device, with no cloud calls required. Tool use, persistent memory, and online learning. All on your hardware, completely private. For anyone who’s been waiting for a serious open-source alternative to cloud-hosted agent frameworks for privacy-sensitive applications — healthcare, legal work, personal data processing, enterprise environments with air-gap requirements — this is worth a close look. ...

Perplexity just announced something that sounds deceptively simple: an AI agent that lives on your Mac mini, runs 24 hours a day, and has access to your local files and applications. They’re calling it Personal Computer, and they unveiled it at their Ask 2026 developer conference. Waitlists opened immediately. This is more consequential than another AI announcement. Perplexity is making a direct architectural bet against the cloud-first model that dominates agentic AI today. ...