mini-AGI

mini-AGI is a small continual learning language model that trains from scratch on a single consumer GPU with 8GB VRAM, continually learning from a stream of data without catastrophic forgetting. It dynamically manages model capacity by paging weights from disk, growing and pruning experts as needed, and is designed for personal, on-device training and ongoing adaptation.