Agent memory

LongMemEval open model results

Long-term conversational memory benchmark covering information extraction, multi-session reasoning, knowledge updates, temporal reasoning, and abstention.

Version
LongMemEval_M (ICLR 2025 paper)
Task
500-session memory retrieval and question answering
Primary metric
End-to-end QA accuracy at top-10 retrieval (higher is better)
Source check
2026-08-13
Scores are from Table 3 of the paper. Both rows use round-level values, V + user-fact key expansion, Stella V5 retrieval, and top-10 recalled items. These are memory-system results, not raw model scores.
SystemModelScoreEvaluation scopeEvidence
V + user-fact memory (top-10)Round values; V + fact keys; Stella V5 retriever; top-10Llama 3.1 70B InstructOpen weights68.2%LongMemEval_MPaper reported
V + user-fact memory (top-10)Round values; V + fact keys; Stella V5 retriever; top-10Llama 3.1 8B InstructOpen weights57.2%LongMemEval_MPaper reported

Primary sources

Official benchmarkOriginal paperEvaluation repositoryData or result file