AI agents need dynamic memory—here's how MRAgent cuts costs by 97%
Long-horizon AI tasks often fail because context windows fill up with irrelevant data, but a new memory framework rebuilds reasoning from scratch in real time. MRAgent reduces token usage by 97% compared to static retrieval systems while improving accuracy.