MirroS open-sources AgentGarten, a framework where AI agents learn in live-rendered code worlds

MirroS has released AgentGarten, an open framework where AI agents act, observe and learn in simulated worlds.

Code handles physics and game rules, while a neural renderer turns geometry sketches into realistic frames at more than 30 frames per second at 480p on a single GPU. Across five worlds, agents improved over rounds using a playbook of lessons, such as a companion-dog score rising from 13 to 19.

The team describes it as a research environment, not a deployed robot product.