LongMemEval D
AI benchmark · Reasoning
What is LongMemEval?
LongMemEval measures chat assistants' long-term memory, testing information extraction, multi-session reasoning, knowledge updates, temporal reasoning and abstention over long timestamped chat histories.
General capability mostly
“We introduce LongMemEval, a comprehensive, challenging, and scalable benchmark for testing the long-term memory of chat assistants.”
github.com/xiaowu0162/longmemeval ↗
Lineage
Benchmarks this one is built on and built from: versions, subsets, extensions and the indexes that combine them.
Derived benchmarks
LongMemEval-V2 later version
Tier D
Long tail: little or no usage data yet.
How much stands behind a tier: usage, who backs it, a confirmed line from its own site or paper, and a clear read on X. High with three of the four, medium with two, low otherwise.
- no usage data
- in curated RL directories (1 pt)
On X · well regarded, moderate buzz, from 13 posts about LongMemEval in the last month
LongMemEval is a standard yardstick for agent memory systems, with many vendors claiming 90%+ scores, though some note inconsistent judges and near-saturation.
How we got to tier D
- Adoption: no usage data. Tier D.
- On X: well regarded, moderate buzz. “LongMemEval is a standard yardstick for agent memory systems, with many vendors claiming 90%+ scores, though some note inconsistent judges and near-saturation.” No move.
- In curated RL directories: 1 point, a floor of none.
- Confirmed: a line from its own site or paper places it.
A clear view on X moves a tier one step up or down; most entries don't move. How tiers work.
Where LongMemEval sits
Its domain on the map, live. Hover a logo for its name; click to open it. Open it on the full map
Next: browse all benchmarks. Entry from the RL Research daily scrape of public sources, 2026-10-29 snapshot.