AI

DreamBench-SWE: A Multi-Session Memory-Hygiene Benchmark for Software Agents

A new benchmark called DreamBench-SWE has been developed to test the memory hygiene of software agents. Memory hygiene refers to a system's ability to manage its own memory usage, preventing issues like data corruption or security breaches. The benchmark simulates multiple sessions where later tasks depend on evidence from earlier sessions, and scores are determined by executable hidden oracles. Researchers have tested two versions of the benchmark: an original version and a
A new benchmark called DreamBench-SWE has been developed to test the memory hygiene of software agents. Memory hygiene refers to a system's ability to manage its own memory usage, preventing issues like data corruption or security breaches. The benchmark simulates multiple sessions where later tasks depend on evidence from earlier sessions, and scores are determined by executable hidden oracles. Researchers have tested two versions of the benchmark: an original version and a successor version with some modifications. The results show that certain types of memory configurations perform better than others in specific scenarios, but overall, the benchmark does not establish clear superiority among memory-bearing conditions. The study was conducted to validate DreamBench-SWE as a reliable tool for evaluating software agent memory hygiene. --- Why it matters: This matters to researchers and engineers working on AI systems because effective memory management is crucial for preventing issues like data corruption or security breaches, which can have significant consequences in real-world applications. Source: https://arxiv.org/abs/2608.20664

This article was originally published at: https://arxiv.org/abs/2608.20664