Uni-Mem: Learning a Long-Horizon Agentic Memory Manager with Unified Online Policy Optimization

Long-term agent memory is shifting from predefined workflows toward learnable policies for memory construction and retrieval. Existing learning-based methods either optimize construction alone or combine retrieval-side online reinforcement learning (RL) with offline construction supervision, limitin