Grouping memories beats fancy retrieval: RSM-full keeps 83% quality at 32% token cost
rohanpaul_ai · x · 2026-09-11
RSM-full offers a simple recipe for memory-limited agents: organize the past before optimizing search.
- Common approaches—stuffing history into the prompt or retrieving isolated chunks—both break down under tight token budgets
- RSM-full groups related memories as they arrive and recalls whole groups when needed
- On AMA-Bench at 4k prompt tokens, it retained 83% of full-history quality using only 32% of the token cost
- Takeaway: for agents, grouping related memories beats fancier retrieval
Related event: RSM Achieves 83% Memory Quality with 32% of Tokens(3 posts)→
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