EP359: Why your AI should forget

Title: Shared Selective Persistent Memory for Agentic LLM SystemsSource: http://arxiv.org/abs/2607.09493v1Summary:This work introduces a foundational shared selective persistent memory architecture that solves the critical context-bloat and token-inefficiency bottlenecks in multi-session LLM agents. By isolating reusable context parameters and decoupling runtime data, the framework achieves dramatic token cost reductions and performance gains in collaborative agent environments.