
Rethinking Long-Term AI Agent Memory as Data Management
This research argues that current database paradigms fail to support long-term AI agent memory, leading to issues like unregulated growth and data loss. It introduces 'Governed Evolving Memory' (GEM) and a prototype called MemState to treat memory as a state-level workload rather than simple record storage.





