CLAG: Adaptive Memory Organization via Agent-Driven Clustering for Small Language Model Agents

ArXi:2603.15421v1 Announce Type: cross Large language model agents heavily rely on external memory to knowledge reuse and complex reasoning tasks. Yet most memory systems experiences in a single global retrieval pool which can gradually dilute or corrupt d knowledge. This problem is especially pronounced for small language models (SLMs), which are highly vulnerable to irrelevant context. We