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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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