[r/ML] [P] zer0dex - dual-layer memory for local LLM agents: 91.2% recall vs 80.3% R.A.G. across 97 benchmarked cases

Summary

Zer0dex introduces a novel dual-layer memory system for local LLM agents, addressing the practical challenge of persistent memory in offline deployments where traditional RAG or flat file methods are inefficient. This architecture separates a compressed semantic index (always in context) from on-demand retrieval, functioning as a cognitive map. The system demonstrates superior performance, achieving 91.2% recall compared to 80.3% for RAG across 97 benchmarked cases.

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