review of agent memory retention decay findings

Evidence from agent evaluations indicates memory quality decays over long sessions unless systems apply periodic consolidation, relevance filtering, and recency weighting (arXiv).

see also: stateful agents gain safer rollback controls · benchmark synthesis for code generation in long horizon tasks

evidence stack

• Context windows alone do not preserve decision fidelity over time.
• Irrelevant memory accumulation increases error rates.
• Structured summaries outperform raw transcript replay.

method boundary

Memory retention gains depend on evaluation tasks that span enough steps to expose drift.

my take

Agent memory quality is an active systems problem, not a passive storage problem.

linkage

• [[stateful agents gain safer rollback controls]]
• [[benchmark synthesis for code generation in long horizon tasks]]
• [[deterministic tool mocks accelerate agent test cycles]]

ending questions

which memory pruning rule gives the best long horizon task accuracy?