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README.md

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+---
+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.
+
+## 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