Memora lets AI agents keep long‑term context with 98% fewer tokens
Memora introduces a two‑layer memory where rich content stays intact while a lightweight abstraction layer handles retrieval, letting agents recall detailed past interactions without re‑feeding the entire conversation. On benchmarks like LoCoMo and LongMemEval it cuts context token use by up to 98% while beating prior methods.