papersSEP 10 04:00 UTC
ROAM Framework Organizes Atomic Memories for Long-Term LLM Agents via Semantic Relations
Researchers have introduced ROAM, a method for structuring the external memory of language-model agents as fine-grained atomic units linked by semantic relations. The approach is designed to improve how agents retrieve and compare stored observations across extended interactions. The work appears in a newly published preprint on the arXiv repository.