Exploring Next
Exploring Next — Ep 175 w/ Justy & Cody — 'Observational memory' cuts AI agent costs 10x and outscores RAG on long-context benchmarks
Observational memory is a new approach to AI agent memory that uses two background agents to compress conversation history into dated observation logs, achieving 10x cost savings through stable context windows that enable prompt caching while outperforming traditional RAG systems on long-context benchmarks.