Show HN: AI memory with biological decay (52% recall)
via github.com
Short excerpt below. Read at the original source.
Most RAG setups fail because they treat memory like a static filing cabinet. When every transient bug fix or abandoned rule is stored forever, the context window eventually chokes on noise, spiking token costs and degrading the agent’s reasoning. This implementation experiments with a biological approach by using the Ebbinghaus forgetting curve to manage context […]