Loss-resistant three-layer recall ★ Live
Fact-compression of the active context retains ~100% of useful facts where generic compaction keeps ~40%. Long-term memory retrieval is a separate, harder discipline — benchmarked openly.
A three-layer recall pipeline (L1+L2+L3) reconstructs context even after long gaps. Two distinct disciplines, stated honestly. (1) Compression of the ACTIVE context: replacing generic compaction with our useful-fact compression retains ~100% of facts on the same context window, versus ~40% with summary-style compaction — a data-quality measurement, reproducible benchmark being finalized on our public rig. (2) Retrieval from long-term MEMORY — across sources and time-validity windows — is a harder problem measured separately (LoCoMo, LongMemEval); numbers there are honest, not inflated — lower token cost, lower latency, nothing important lost.