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Compact-Memory LLM Agents via Online Max-Member Clustering and Atom-Aware Packing
Many long-horizon LLM deployments face tight prompt budgets: latency, cost, and context limits make full-context prompting impractical as interaction length grows. The key question is then not raw recall alone, but which memory design gives the best quality--token trade-off in the compact-memory reg
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