'Observational memory' cuts AI agent costs 10x and outscores RAG on long-context benchmarks

As AI agents move into production, teams are rethinking memory. Mastra’s open-source observational memory shows how stable context can outperform RAG while cutting token costs.
GitHub

CHIME: A Cache-Efficient and High-Performance Hybrid Index on Disaggregated Memory

We strongly recommend you to run CHIME using the r650 instances on CloudLab as the code has been thoroughly tested there. We haven't done any test in other hardware environment. If you want to ...
IEEE

Buddy ECC: Making Cache Mostly Clean in CXL-Based Memory Systems for Enhanced Error Correction at Low Cost

Abstract: As Compute Express Link (CXL) emerges as a key memory interconnect, interest in optimization opportunities and challenges has grown. However, due to the different characteristics of the CXL ...
IEEE

Seastar: A Cache-Efficient and Load-Balanced Key-Value Store on Disaggregated Memory

Abstract: In modern datacenters, memory disaggregation un-packs monolithic servers to build independent network-connected compute and memory pools, greatly improving resource uti-lization. Existing ...