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Wisdom Layer: Agent Cognitive Architecture
This talk introduces the Wisdom Layer, an agent architecture providing persistent memory, autonomous reflection, and self-authored behavioral rules with an internal critic to improve LLM reliability and change behavior.
The Wisdom Layer is a Python SDK that wraps any LLM with persistent memory that matures, autonomous reflection cycles, self-authored behavioral rules with a lifecycle, and an internal critic that evaluates output against active rules before it ships.
The demo at AI Tinkerers ran on Claude Haiku — Anthropic’s cheapest model — and showed how a commodity model becomes substantially more reliable when scaffolded with memory, reflection, and enforcement, rather than fine-tuned. Early benchmark showed fabrication rate dropping from 22% to 2% on the same model (n=45 single corpus, broader eval in progress). The same architecture also powers loom-code (AI-assisted coding across 20+ repos) and a computational pharmacogenomics research platform in active collaboration discussions with academic cancer centers.
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