Large language model (LLM) agents have recently explored executable memory—compiling agent memory into code snippets that an external LLM interprets at inference time. We argue that this paradigm remains tied to a single architectural choice: the executor is an external model, the memory is a personal profile, and the...
Yizhang Hu· Zenodo (CERN European Organi...· 0 citations
Large language model (LLM) agents have recently explored executable memory—compiling agent memory into code snippets that an external LLM interprets at inference time. We argue that this paradigm remains tied to a single architectural choice: the executor is an external model, the memory is a personal profile, and the...
Yizhang Hu· Zenodo (CERN European Organi...· 0 citations
【Version note — v3】This version removes all literature citations; the Related Work section now states explicitly that the work is bottom-up and experiment-driven, and that we prefer an explicit statement of independence over a performative reference list. Earlier versions (v1, v2) contain incomplete reference lists a...
Yizhang Hu· Zenodo (CERN European Organi...· 0 citations
【Version note — v3】This version removes all literature citations; the Related Work section now states explicitly that the work is bottom-up and experiment-driven, and that we prefer an explicit statement of independence over a performative reference list. Earlier versions (v1, v2) contain incomplete reference lists a...
Yizhang Hu· Zenodo (CERN European Organi...· 0 citations
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