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MemoryCraft — Unified Agent-Memory Benchmark Collection
Five memory benchmarks reformatted into one common schema for evaluating how well an agent uses long-term memory. Two configs:
full/— every instance of each source, unified.selected/— the evaluation subset used in our runs (QA balanced across benchmarks; Membench = its largest/long-context instances).
| benchmark | full instances | full QA | selected instances | selected QA |
|---|---|---|---|---|
| locomo | 10 | 1986 | 10 | 994 |
| longmemeval | 500 | 500 | 500 | 500 |
| memoryagentbench | 146 | 3671 | 18 | 1509 |
| ama_bench | 208 | 2496 | 125 | 1500 |
| membench | 23166 | 23166 | 1158 | 1158 |
| Total | 24030 | 31819 | 1811 | 5661 |
Unified schema (one JSON object per line)
{
"uid": "<source>__<id>", "source": "...", "memory_type": "conversation|document|trajectory",
"sessions": [{ "session_id","timestamp","turns":[{"speaker","role","content","turn_id","metadata"}] }],
"qa": [{ "qa_id","question","answer","question_type","raw_category","evidence","abstention","metadata" }],
"metadata": { }
}
Sources & licenses
Reformatted redistribution — please cite and follow each original license:
- LoCoMo — snap-research/locomo
- LongMemEval — xiaowu0162/longmemeval-cleaned
- MemoryAgentBench — ai-hyz/MemoryAgentBench
- AMA-bench — AMA-bench/AMA-bench
- Membench — import-myself/Membench
Repo: daven3/memorycraft-bench. Reformatting + sampling scripts live in data_prep/ and eval/.
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