A trie-based memory system for agents hits over-retrieval problems at a 20% budget
No_Sky9786 · reddit · 2026-08-04
The author describes SALT, a memory system that stores all inputs in a trie in DRAM and retrieves sentences using a keyword-theme dominance scheme via CELF at a 20% budget.
They say it works efficiently but often over-retrieves, which hurts smaller models by increasing hallucinations. They are now trying theme coverage as a way to measure retrieval needs, and expect memory pressure to become more serious once agents with multiple modules are added.
They’re asking for suggestions and point readers to oteomamo/salt on GitHub.
Related event: SALT Uses Trie for Agent Memory(2 posts)→
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