LLM agents need to track how their environment evolves over time to work reliably in the real world—EvoMem shows that explicitly recording memory changes improves agent performance on both dynamic and standard benchmarks.
EvoArena is a benchmark that tests LLM agents in dynamic environments where conditions change over time, and EvoMem is a memory system that tracks how environments evolve. Current agents struggle with these changing conditions (39.6% accuracy), but EvoMem improves performance by recording structured update histories, helping agents understand what has changed.