Recall‑Based Decay Engine Lets LLM Agents Remember What Matters
A new deterministic memory engine replaces fixed recency windows with a usage‑reinforced decay model, letting frequently recalled facts survive far beyond the usual turn limit. Benchmarks show it retains core rules across 150‑turn sessions where standard sliding windows forget them entirely, boosting long‑run agent reliability.