---
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](https://omegamax.co) | **Memory System:** [github.com/omega-memory/core](https://github.com/omega-memory/core) | **Benchmark Code:** [github.com/omega-memory/memorystress](https://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

```json
{
  "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

```bash
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](https://github.com/omega-memory/memorystress)

## Citation

```bibtex
@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