{"passport":{"slug":"hybrid-self-evolving-structured-memory-hymem","display_name":"Hybrid Self-evolving Structured Memory (HyMEM)","model_type":"null","parameter_count":null,"context_window":null,"claimed_developer":"Hybrid Self-evolving Structured Memory for GUI Agents","confirmed_developer":null,"developer_confirmed_at":null,"developer_source":null,"first_appeared_at":"2023-03-17T00:00:00+00:00","first_appeared_on":"rss_pipeline","status":"confirmed","availability":null,"deployment_status":"not_deployed","availability_scope":null,"gate":1,"eu_ai_act":null,"regulatory_status":{},"open_source":null,"weights_available":null,"license":null,"provenance_chain":[],"parent_model":null,"model_family":null,"superseded_by":null,"supersedes":[],"recommended_replacement":null,"product_links":null},"events":[{"event_type":"first_appearance","event_date":"2023-03-17T00:00:00+00:00","title":"First recorded in AI news","detail":"Hybrid Self-evolving Structured Memory (HyMEM) is a new graph-based memory architecture that couples discrete high-level symbolic nodes with continuous trajectory embeddings. It aims to improve the performance of GUI agents by supporting multi-hop retrieval, self-evolution, and on-the-fly working-memory refreshing during inference.","source_url":"https://arxiv.org/abs/2603.10291","source_name":"ArXiv AI"}],"delta":{"days_unattributed":1211,"claimed_developer":"Hybrid Self-evolving Structured Memory for GUI Agents","confirmed_developer":null,"match":false}}