WAVE 5 // DEVELOPMENT
EVALUATION
CERTIFICATION

MNEMOSYNE

VLA MEMORY BENCHMARK

Standardized memory evaluation harness for robotic policies (RoboMME benchmark). Evaluates scene recollection, temporal reasoning, spatial memory, and multi-step tracking across 16 task categories. Produces investor-safe certification reports with paper baseline comparisons.

MODULE STATUS: DEVELOPMENT

ALL VLA MODELS

DIVISION: ANIMA
WAVE: W5
DOMAIN: SIMULATION
WAVE 5 // ANIMA SUITE: EVALUATION — VLA MEMORY BENCHMARK

MNEMOSYNE // W5 // 047/079

01THE CHALLENGE

YOU CAN'T IMPROVE WHAT YOU CAN'T MEASURE

Robotic VLA models claim memory capabilities — scene understanding, temporal reasoning, spatial awareness — but there's no standardized way to verify these claims. Every team uses different benchmarks, different metrics, and different evaluation conditions. Results are incomparable.

Without rigorous evaluation, you can't distinguish a model that truly remembers from one that pattern-matches. Investors get unverifiable claims, teams waste months on models that fail in deployment, and the field lacks the shared benchmarks needed for systematic progress. MNEMOSYNE provides the missing measurement standard.

02THE SOLUTION

WHAT MNEMOSYNE DELIVERS

MNEMOSYNE is a standardized evaluation harness that tests VLA memory capabilities across 16 task categories. It produces reproducible benchmark scores, compares against published baselines, and generates certification reports that give investors and deployers confidence in model capabilities.

PIPELINE

01Task registry — 16 standardized evaluation tasks covering scene recollection, temporal reasoning, spatial memory, and multi-step tracking
02Evaluation harness — automated test execution with controlled conditions, deterministic environments, and reproducible scoring
03Baseline comparison — results compared against published paper baselines and leading VLA models for relative positioning
04Certification export — investor-safe reports with benchmark scores, comparative analysis, and capability verification

CAPABILITIES

SCENE RECOLLECTIONTests ability to remember and recall previously observed scene elements→ Critical for tasks requiring return to prior states or multi-room navigation
TEMPORAL REASONINGEvaluates understanding of event sequences, timing, and causal chains→ Essential for multi-step manipulation where action order determines success
SPATIAL MEMORYMeasures retention of object positions, spatial relationships, and environment layout→ Required for manipulation tasks involving precise object placement and retrieval
MULTI-STEP TRACKINGTests ability to maintain state across extended action sequences→ Validates long-horizon capability — the hardest memory challenge for VLA models

03ENGINEERING

WHY THIS IS HARD

Building a benchmark that actually measures memory — not pattern matching — requires careful design:

01Task isolation: each test must isolate a specific memory capability without confounding with perception, planning, or motor skill
02Reproducibility: evaluation conditions must be deterministic — same model, same test, same score — across hardware and time
03Baseline fairness: comparing against published results requires matching their exact conditions, not just their numbers
04Anti-gaming: tests must resist models that achieve high scores through memorization of benchmark-specific patterns rather than genuine memory
05Certification rigor: reports must withstand investor due diligence — methodology, statistical significance, and failure mode analysis

MNEMOSYNE handles this with a peer-reviewed task registry, controlled evaluation environments, statistical rigor in scoring, and anti-memorization safeguards that ensure benchmark scores reflect genuine memory capability.

04BENCHMARKS

SYSTEM PERFORMANCE

Measured across the RoboMME evaluation harness:

SYSTEM PERFORMANCE
METRIC	VALUE
Task Registry	16 standardized evaluation tasks
Benchmark Quality	Reproducible — deterministic scoring
Certification Export	Investor-safe reports with baselines
Baseline Comparison	Published paper benchmarks included

05BUILD STATUS

WHAT'S BUILT TODAY

4/6 COMPONENTS COMPLETE

WHAT'S BUILT TODAY
COMPONENT	STATUS	NOTES
Task Registry	COMPLETE	16 evaluation tasks defined with scoring rubrics
Evaluation Harness	COMPLETE	Automated test execution with deterministic conditions
Baseline Comparison	IN PROGRESS	Integrating published paper baselines for relative scoring
Certification Export	COMPLETE	Report generation with benchmark scores and analysis
Core models	COMPLETE	Evaluation pipeline tested against all VLA models
API layer	IN PROGRESS	Public API for external model evaluation submissions

06APPLICATIONS

WHERE MNEMOSYNE DEPLOYS

APP_01
MODEL CERTIFICATION
Certify VLA models before deployment — standardized benchmark scores give deployers confidence that memory capabilities meet requirements for their target applications.
APP_02
RESEARCH COMPARISON
Compare memory capabilities across models using a shared benchmark — eliminates the apples-to-oranges comparisons that plague current VLA evaluation.
APP_03
INVESTOR DUE DILIGENCE
Produce rigorous, third-party-verifiable benchmark reports — investors get standardized scores instead of cherry-picked demos and unverifiable claims.

07TECHNOLOGY

UNDER THE HOOD

FOUNDATION: ROBOMME BENCHMARK

16 standardized evaluation tasks across 4 memory capability categories
Deterministic evaluation environments for reproducible scoring
Statistical rigor: confidence intervals, significance tests, effect sizes
Anti-memorization safeguards with dynamic task variations

MNEMOSYNE IMPLEMENTATION

Task registry with versioned evaluation protocols and scoring rubrics
Automated harness executing controlled test sequences with full logging
Baseline database with published paper results for comparative analysis
Report generator producing investor-grade certification documents

ANIMA MODULE INTEGRATION

Evaluates all VLA models in the ANIMA suite as they are developed
Benchmark results feed back into model improvement pipelines
Certification gates control which models advance to deployment

EVALUATION SPECS

16 task categories
4 memory dimensions
Deterministic scoring
Paper baseline database
Investor-safe reports
Anti-gaming safeguards

08PAPERS

RESEARCH BASIS

[01]RoboMME benchmark — standardized memory evaluation harness for robotic policies with reproducible scoring and certification export