'Observational memory' cuts AI agent costs 10x and outscores RAG on long-context benchmarks

Observational memory cuts AI agent costs 10x and outscores RAG on long-context benchmarks. It uses two background agents to compress conversation history into a dated observation log. This approach prioritizes persistence and stability over dynamic retrieval.