Datasets:

singularityjason
/

memorystress

license: apache-2.0
task_categories:
  - question-answering
language:
  - en
tags:
  - benchmark
  - memory
  - ai-agents
  - longitudinal
  - evaluation
size_categories:
  - 1K<n<10K

MemoryStress Dataset

The first longitudinal benchmark for AI memory systems.

583 facts x 1,000 sessions x 300 questions x 6 scoring dimensions.

Website: omegamax.co | Memory System: github.com/omega-memory/core | Benchmark Code: github.com/omega-memory/memorystress

Overview

Every existing memory benchmark tests recall from a handful of sessions. MemoryStress tests what happens at session 1,000 — when facts contradict, memories fade, and noise accumulates over 10 simulated months.

Dataset Structure

{
  "version": "1.0",
  "phases": { "1": {...}, "2": {...}, "3": {...} },
  "stats": { "total_facts": 583, "total_sessions": 1000, ... },
  "facts": [ { "fact_id": "F001", "content": "...", ... } ],
  "contradiction_chains": [ { "chain_id": "C001", ... } ],
  "sessions": [ { "session_id": "S0001", "turns": [...], ... } ],
  "questions": [ { "question_id": "Q001", "question": "...", ... } ]
}

Key Features

583 facts across 6 categories (preferences, decisions, technical, personal, events, relationships)
1,000 sessions across 3 phases of increasing noise
40 contradiction chains where facts update, revert, accumulate, or partially change
300 questions at 4 phase checkpoints, spanning 7 question types
6 scoring dimensions: recall@age, degradation curve, contradiction resolution, cost efficiency, cross-agent recall, cold start recovery

Three Phases of Pressure

Phase	Sessions	Description
Phase 1	1-100	Low noise, establishing baseline
Phase 2	101-500	Growing noise, contradictions emerge
Phase 3	501-1000	Dense, high-entropy, multi-topic stress
Phase 4	Recovery	No new sessions — can you still recall?

Usage

pip install memorystress

# Run the null baseline (free, instant)
memorystress run --dataset memorystress_v1.json --adapter null --grade

# Run with OMEGA
memorystress run --dataset memorystress_v1.json --adapter omega --grade --extract-facts

Benchmark Code

Full benchmark framework: github.com/omega-memory/memorystress

Citation

@software{memorystress2026,
  title={MemoryStress: The First Longitudinal Benchmark for AI Memory Systems},
  author={OMEGA Memory},
  url={https://github.com/omega-memory/memorystress},
  year={2026}
}

License

Apache-2.0