MemCode: Discrete Semantic Representations for Long-Term Agent Memory
Long-term memory remains a fundamental bottleneck for large language model (LLM) agents across sessions. Existing systems typically adopt a write-then-retrieve paradigm, storing context-dependent dialogue fragments and retrieving them via nearest-neighbor search in a continuous embedding space. This design yields unsta...
Xin Li, Liang Hu, Duo-Qian Miao et al.
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