The field of memory management is experiencing significant advancements with the emergence of memory disaggregation and tiered memory systems. Recent developments have focused on improving the performance and efficiency of these systems, particularly in the context of data-intensive workloads. Researchers are exploring innovative solutions to address the challenges posed by memory disaggregation, such as increased latency and performance heterogeneity. Notable advancements include the development of custom system calls, dynamic memory request control mechanisms, and network-aware page migration frameworks. These innovations have the potential to significantly improve the performance of tiered memory systems and enable more efficient use of memory resources. Noteworthy papers include: INDIGO, which presents a network-aware page migration framework that achieves up to 50-70% improvement in application performance. LOCO, which introduces a library for building multi-node objects on RDMA, providing a simpler programming model for distributed systems. Harmonia, which proposes a multi-agent reinforcement learning approach to data placement and migration in hybrid storage systems, achieving significant performance improvements.