| | --- |
| | 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 |
| |
|
