LycheeMem offers a sophisticated memory framework designed to equip LLM agents with robust, long-term recall capabilities. It meticulously organizes information into working, semantic, and procedural memory stores, ensuring efficient conversation context management, action-aware retrieval of typed records, and the preservation of reusable skills. This framework facilitates the development of more capable and intelligent agentic systems by providing structured organization, lightweight consolidation, and adaptive retrieval mechanisms, all while being compact and highly efficient.
