Sonaris Specification - Open Arsenal

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Sonaris

The Intelligence of Frequency

Sonaris is a modular multi-task AI specification for researching frequency, sound, vibration, energy, movement, matter, biology, healing, recovery, and technology. It provides a framework for researching relationships between physical phenomena and biological systems, developing methodologies, evaluating evidence, designing experiments, analyzing results, and discovering new applications across multiple scientific and technical domains.

Sonaris is designed as a general-purpose research and methodology intelligence. Its modular architecture allows specialized capabilities to operate independently while sharing research, evidence, measurement, simulation, and knowledge resources. The system is designed to distinguish established evidence from preliminary findings, conflicting evidence, unknown effects, hypotheses, and experimental methodologies.

Specification Goals

Research frequency and frequency-dependent phenomena across multiple domains
Investigate sound, vibration, electricity, electromagnetic fields, energy, and physical matter
Research human movement, physical function, recovery, and healing methodologies
Investigate how sound is used in technology
Investigate interactions between sound and electricity
Investigate interactions between sound and sand and other granular materials
Develop evidence-based techniques and methodologies
Generate and evaluate scientific hypotheses
Design reproducible experiments
Analyze measurements and experimental results
Connect knowledge across scientific and engineering disciplines
Maintain clear separation between biological effects and physical matter manipulation
Track evidence, uncertainty, provenance, and research history
Support modular expansion through optional plugins
Support local-first and vendor-independent implementations
Maintain human oversight over consequential decisions and experimental activity

Core Intelligence Module

The Core Intelligence Module provides the central multi-task reasoning and orchestration capabilities of Sonaris.

Features

Multi-task reasoning
Task decomposition
Research planning
Complex research workflow generation
Specialized research agent orchestration
Parallel research tasks
Cross-domain reasoning
Knowledge synthesis
Comparative analysis
Pattern recognition
Relationship discovery
Hypothesis generation
Hypothesis evaluation
Methodology generation
Experimental design
Evidence reconciliation
Contradiction detection
Uncertainty modeling
Confidence assessment
Human-directed research
Human approval workflows
Reproducible research workflows

Research Intelligence Module

The Research Intelligence Module enables Sonaris to discover, analyze, organize, compare, and synthesize scientific and technical knowledge.

Features

Scientific literature research
Technical literature research
Academic paper analysis
Patent research
Historical research
Experimental research
Systematic review support
Evidence mapping
Research gap identification
Research opportunity discovery
Research question generation
Source classification
Source credibility analysis
Study methodology analysis
Replication analysis
Reproducibility analysis
Conflicting evidence identification
Research timeline tracking
Citation management
Source version tracking
Research provenance

Evidence Intelligence Module

The Evidence Intelligence Module evaluates the quality and strength of information used by Sonaris.

Features

Evidence classification
Evidence grading
Claim verification
Claim provenance
Correlation analysis
Causation analysis
Mechanism analysis
Observational evidence analysis
Experimental evidence analysis
Human study analysis
Preclinical research analysis
In vitro research analysis
Statistical methodology analysis
Effect size analysis
Confidence interval analysis
Bias detection
Publication bias analysis
Funding bias analysis
Methodological bias analysis
Evidence uncertainty classification
Conflicting study comparison

Frequency Intelligence Module

The Frequency Intelligence Module provides the foundational system for researching frequency across biological, physical, mechanical, acoustic, electrical, electromagnetic, and technological domains.

Features

Frequency identification
Frequency classification
Frequency spectrum analysis
Frequency range mapping
Frequency response analysis
Frequency relationships
Harmonic analysis
Subharmonic analysis
Resonance analysis
Modulation analysis
Amplitude analysis
Intensity analysis
Energy analysis
Waveform analysis
Pulse analysis
Pulse width analysis
Duty cycle analysis
Exposure pattern analysis
Temporal pattern analysis
Frequency sweep analysis
Frequency combinations
Frequency interaction analysis
Harmonic interaction analysis
Resonant frequency identification
Spectral analysis
Fourier analysis
Signal decomposition
Signal reconstruction
Frequency parameter comparison

Human Frequency Biology Module

The Human Frequency Biology Module investigates how frequency-dependent physical phenomena may interact with biological systems. It maintains a strict distinction between observed biological responses, proposed mechanisms, correlations, causal evidence, and unvalidated hypotheses.

Features

Biological frequency research
Cellular response research
Tissue response research
Organ response research
Nervous system research
Musculoskeletal research
Cardiovascular research
Respiratory research
Endocrine research
Immune system research
Metabolic research
Neurological research
Sensory system research
Sleep research
Stress response research
Relaxation research
Recovery research
Biological response measurement
Dose response analysis
Exposure response analysis
Frequency-dependent biological effect analysis
Frequency interaction research
Cumulative exposure analysis
Short-term exposure analysis
Long-term exposure analysis
Tissue-specific response analysis
Cellular mechanism research
Biological resonance research
Neural oscillation research
Physiological signal analysis

Electromagnetic Research Module

The Electromagnetic Research Module investigates electromagnetic frequencies, fields, radiation, energy transfer, and interactions with biological and physical systems.

Features

Static electric field research
Static magnetic field research
Extremely low frequency research
Low frequency electromagnetic research
Radiofrequency research
Microwave research
Infrared research
Visible light research
Ultraviolet research
Terahertz research
Electromagnetic pulse research
Pulsed electromagnetic field research
Modulated electromagnetic field research
Electromagnetic exposure research
Electromagnetic energy interaction
Tissue absorption analysis
Electromagnetic penetration analysis
Frequency-dependent interaction analysis
Thermal effects research
Non-thermal effects research
Photobiological research
Light-based biological research
Electromagnetic safety analysis

Mechanical Frequency Module

The Mechanical Frequency Module investigates vibration, oscillation, pressure waves, mechanical waves, and frequency-dependent mechanical effects.

Features

Mechanical vibration research
Whole-body vibration research
Localized vibration research
Oscillation research
Mechanical wave research
Pressure wave research
Infrasound research
Audible sound research
Ultrasound research
Acoustic vibration research
Tissue vibration research
Mechanical resonance research
Structural resonance research
Frequency-dependent mechanical response
Vibration transmission analysis
Vibration attenuation analysis
Mechanical energy transfer
Mechanical exposure analysis
Frequency-dependent force analysis

Sound Technology Module

The Sound Technology Module researches how sound is engineered and used as a technology, information medium, sensing mechanism, communication mechanism, interface, and control mechanism.

Features

Audio engineering
Acoustic engineering
Digital audio
Analog audio
Audio signal processing
Digital signal processing
Sound recording
Sound reproduction
Audio synthesis
Sound generation
Sound transformation
Sound classification
Spectral analysis
Microphone technology
Speaker technology
Transducer technology
Acoustic sensors
Acoustic actuators
Acoustic measurement
Acoustic calibration
Acoustic communication
Acoustic data transmission
Audio networking
Voice communication
Speech processing
Speech recognition
Speech synthesis
Voice interfaces
Sonification
Audio visualization
Audio encoding
Audio compression
Acoustic watermarking
Acoustic authentication
Acoustic identification
Acoustic positioning
Acoustic localization
Acoustic navigation
Sound-based interfaces
Sound-based human computer interaction
Assistive audio technology
Directional audio
Beamforming
Acoustic beam steering
Noise reduction
Active noise cancellation
Passive acoustic isolation
Spatial audio
Three-dimensional audio
Binaural audio
Ambisonics
Wave field synthesis
Acoustic holography
Underwater acoustics
Architectural acoustics
Environmental acoustics
Industrial acoustics
Machine acoustic monitoring
Structural acoustic monitoring
Acoustic fault detection
Acoustic imaging
Ultrasonic imaging
Sonar
Echolocation systems
Acoustic robotics
Acoustic control systems

Sound and Electricity Module

The Sound and Electricity Module investigates the relationship between acoustic, mechanical, and electrical phenomena, including the conversion of energy and information between these domains.

Features

Sound-to-electricity conversion
Electricity-to-sound conversion
Acoustic energy harvesting
Piezoelectric effects
Triboelectric effects
Electromagnetic acoustic transduction
Magnetostrictive effects
Electroacoustic transduction
Piezoelectric transducers
Electrostatic transducers
Electromagnetic transducers
Acoustic sensors
Acoustic actuators
Electric field and acoustic interaction research
Magnetic field and acoustic interaction research
Electrical current and vibration research
Voltage and vibration analysis
Resistance and vibration analysis
Capacitance and vibration analysis
Inductance and vibration analysis
Electrical impedance analysis
Electrical resonance
Acoustic resonance
Electromechanical resonance
Coupled acoustic-electrical resonance
Frequency response analysis
Signal generation
Signal amplification
Signal modulation
Signal demodulation
Frequency modulation
Amplitude modulation
Pulse modulation
Electrical signal generation from vibration
Vibration-powered electronics
Resonant energy harvesting
Low-power energy generation
Acoustic-to-electrical sensing
Electrical-to-acoustic actuation
Sound-controlled electrical systems
Electrically controlled acoustic systems
Feedback systems
Closed-loop acoustic-electrical systems
Coupled oscillator research
Frequency synchronization
Phase synchronization
Harmonic coupling
Signal interference
Electrical noise analysis
Electromagnetic interference analysis
Electromechanical interference analysis
Signal filtering
Resonant filtering
Signal conditioning
Transducer efficiency
Energy conversion efficiency
Power measurement
Voltage measurement
Current measurement
Electrical impedance measurement
Acoustic pressure measurement
Vibration measurement
Phase measurement
Acoustic-electrical simulation
Electromechanical simulation
Acoustic-powered sensing
Vibration-powered sensing
Self-powered monitoring
Acoustic communication through electrical systems
Electrical communication through acoustic systems
Electrical system acoustic diagnostics
Acoustic signatures of electrical systems

Sound and Sand Module

The Sound and Sand Module is dedicated to researching the interaction between sound and granular materials, with particular emphasis on sand, particle movement, pattern formation, resonance, compaction, transport, and organization.

Features

Acoustic effects on sand
Frequency and sand response
Amplitude and sand response
Sound intensity and granular response
Waveform effects
Continuous sound experiments
Pulsed sound experiments
Modulated sound experiments
Frequency sweep experiments
Harmonic frequency experiments
Resonance experiments
Standing wave experiments
Chladni pattern research
Granular pattern formation
Sand surface pattern formation
Sand particle movement
Particle sorting
Particle segregation
Particle aggregation
Particle dispersion
Particle transport
Granular flow
Granular convection
Sand compaction
Sand fluidization
Angle of repose analysis
Surface deformation
Ripple formation
Vibration-induced movement
Acoustic radiation pressure
Acoustic streaming
Sound pressure effects
Substrate vibration effects
Boundary condition analysis
Container geometry analysis
Sand grain size analysis
Particle shape analysis
Particle density analysis
Moisture content analysis
Sand composition analysis
Layered sand experiments
Dry sand experiments
Wet sand experiments
Mixed granular material experiments
Sound source positioning
Speaker geometry
Transducer geometry
Distance effects
Directional sound effects
Multiple sound source interaction
Phase relationship analysis
Interference pattern analysis
Frequency interaction analysis
Resonant mode analysis
High-speed imaging
Surface imaging
Particle tracking
Vibration measurement
Acoustic pressure measurement
Frequency response measurement
Pattern classification
Pattern stability analysis
Pattern transformation analysis
Energy transfer analysis
Acoustic-to-mechanical energy conversion
Granular resonance research
Acoustic levitation research
Noncontact granular manipulation
Acoustic material processing
Acoustic sorting
Acoustic positioning
Acoustic transportation
Acoustic deposition
Acoustic assembly
Acoustic pattern generation
Coupled acoustic-granular simulation
Automated frequency sweeps
Automated pattern detection
Frequency-to-pattern mapping
Sound-to-motion mapping
Sound-to-structure mapping
Reproducible sand experiments
Cross-material comparison
Cross-frequency comparison

Matter Manipulation Module

The Matter Manipulation Module researches how sound, vibration, waves, resonance, pressure, and other physical phenomena can influence, move, organize, transport, or manipulate matter.

Features

Acoustic matter manipulation
Acoustic levitation
Acoustic trapping
Acoustic propulsion
Acoustic transportation
Acoustic assembly
Acoustic positioning
Particle manipulation
Particle separation
Particle aggregation
Fluid manipulation
Droplet manipulation
Granular material manipulation
Surface manipulation
Pressure manipulation
Mechanical vibration manipulation
Resonance-based manipulation
Standing wave systems
Wave interference
Acoustic force analysis
Radiation pressure analysis
Mechanical energy transfer
Wave-based actuation
Acoustic actuators
Vibrational actuators
Noncontact manipulation
Precision manipulation
Microscale manipulation
Macroscale manipulation
Material processing
Acoustic manufacturing
Acoustic sorting
Acoustic transport systems
Experimental matter manipulation
Matter response measurement
Physical parameter optimization
Multiphysics modeling

Movement Intelligence Module

The Movement Intelligence Module researches human movement, biomechanics, physical function, motor control, motor learning, and movement adaptation.

Features

Human movement analysis
Biomechanical analysis
Kinematic analysis
Kinetic analysis
Gait analysis
Posture analysis
Balance analysis
Coordination analysis
Mobility analysis
Flexibility analysis
Range of motion analysis
Strength analysis
Power analysis
Endurance analysis
Stability analysis
Motor control analysis
Motor learning
Movement pattern analysis
Movement efficiency analysis
Movement asymmetry analysis
Joint movement analysis
Muscle movement analysis
Force distribution analysis
Load distribution analysis
Center of mass analysis
Ground reaction force analysis
Movement variability analysis
Movement adaptation
Movement progression
Movement regression
Movement skill development
Functional movement analysis
Assistive movement research

Healing and Recovery Research Module

The Healing and Recovery Research Module investigates methodologies related to recovery, physical function, rehabilitation, tissue response, adaptation, and wellbeing while maintaining evidence and safety classifications.

Features

Healing research
Tissue recovery research
Physical recovery research
Musculoskeletal recovery research
Neuromuscular recovery research
Recovery methodology research
Rehabilitation methodology research
Mobility restoration research
Strength restoration research
Balance restoration research
Coordination restoration research
Functional recovery research
Recovery environment research
Rest research
Sleep and recovery research
Relaxation research
Stress recovery research
Load management
Fatigue management
Recovery monitoring
Recovery progression
Recovery regression
Recovery response analysis
Recovery outcome measurement
Longitudinal recovery tracking
Methodology comparison
Evidence-based methodology development

Technique Development Module

The Technique Development Module enables Sonaris to identify, compare, combine, refine, and evaluate techniques across supported domains.

Features

Technique discovery
Technique classification
Technique comparison
Technique combination
Technique optimization
Technique adaptation
Technique personalization
Parameter optimization
Technique sequencing
Technique progression
Technique regression
Technique validation
Technique reproducibility
Technique effectiveness analysis
Technique failure analysis
Technique safety analysis
Novel technique generation
Existing technique improvement
Cross-discipline technique synthesis
Mechanism-based technique design
Experimental technique classification

Methodology Development Module

The Methodology Development Module converts research findings and hypotheses into structured methodologies that can be investigated, measured, reproduced, and refined.

Features

Methodology generation
Protocol generation
Research protocol design
Movement protocol design
Recovery protocol design
Experimental protocol design
Measurement protocol design
Observation protocol design
Control condition design
Variable identification
Independent variable identification
Dependent variable identification
Confounding variable identification
Control variable identification
Baseline establishment
Outcome definition
Success criteria
Failure criteria
Stop criteria
Progression criteria
Regression criteria
Reassessment criteria
Replication protocols
Documentation standards

Measurement and Assessment Module

The Measurement and Assessment Module provides methods for collecting, comparing, validating, and interpreting physical, biological, acoustic, electrical, and movement data.

Features

Baseline measurement
Repeated measurement
Longitudinal measurement
Objective measurement
Subjective measurement
Sensor-based measurement
Motion capture
Video movement analysis
Force measurement
Pressure measurement
Vibration measurement
Frequency measurement
Electromagnetic measurement
Acoustic measurement
Physiological signal measurement
Range of motion measurement
Strength measurement
Balance measurement
Gait measurement
Coordination measurement
Recovery measurement
Outcome tracking
Trend analysis
Change detection
Measurement uncertainty
Measurement validation

Sensors and Instrumentation Module

The Sensors and Instrumentation Module enables Sonaris to integrate measurement systems and analyze data from physical and biological environments.

Features

Motion sensors
Accelerometers
Gyroscopes
Inertial measurement units
Pressure sensors
Force sensors
Strain sensors
Vibration sensors
Acoustic sensors
Microphones
Electromagnetic sensors
Light sensors
Temperature sensors
Environmental sensors
Physiological sensors
Wearable sensors
Laboratory instrumentation
Sensor fusion
Real-time data acquisition
Signal filtering
Noise reduction
Calibration
Instrument validation

Simulation Module

The Simulation Module provides computational models for investigating physical, biological, acoustic, mechanical, electrical, and movement systems.

Features

Biomechanical simulation
Movement simulation
Acoustic simulation
Frequency simulation
Wave propagation simulation
Electromagnetic simulation
Tissue interaction modeling
Mechanical modeling
Resonance modeling
Material response modeling
Fluid simulation
Particle simulation
Granular simulation
Environmental simulation
Virtual experimentation
Parameter sweeps
Scenario analysis
Sensitivity analysis
Predictive modeling
Multiphysics simulation
Model comparison
Simulation validation

Data Intelligence Module

The Data Intelligence Module processes structured and unstructured information generated through research, experimentation, sensors, simulations, and external sources.

Features

Structured data ingestion
Unstructured data ingestion
Scientific dataset analysis
Time-series analysis
Signal analysis
Frequency-domain analysis
Spectrogram generation
Pattern detection
Anomaly detection
Correlation analysis
Regression analysis
Classification
Clustering
Predictive modeling
Data provenance
Data quality assessment
Missing data analysis
Data normalization
Data versioning

Knowledge Graph Module

The Knowledge Graph Module connects concepts, frequencies, biological systems, materials, techniques, methodologies, evidence, measurements, and outcomes.

Features

Frequency knowledge graph
Biological knowledge graph
Anatomical knowledge graph
Movement knowledge graph
Acoustic knowledge graph
Electrical knowledge graph
Engineering knowledge graph
Material knowledge graph
Technique knowledge graph
Methodology knowledge graph
Evidence knowledge graph
Relationship mapping
Mechanism mapping
Frequency effect mapping
Tissue interaction mapping
Technique outcome mapping
Source relationship mapping
Cross-domain relationship discovery
Temporal knowledge tracking
Knowledge versioning

Experimental Laboratory Module

The Experimental Laboratory Module provides a framework for designing, documenting, conducting, analyzing, and reproducing experiments.

Features

Research question generation
Hypothesis generation
Experimental design
Variable selection
Parameter selection
Baseline establishment
Control design
Measurement design
Data collection
Data normalization
Experimental logging
Result analysis
Replication
Experiment comparison
Experimental failure analysis
Experimental uncertainty analysis
Research notebook generation
Automated experiment documentation
Reproducibility tracking

Safety and Risk Intelligence Module

The Safety and Risk Intelligence Module evaluates potential hazards, uncertainty, exposure, contraindications, adverse effects, and conditions requiring additional human evaluation.

Features

Safety classification
Exposure risk assessment
Frequency risk assessment
Acoustic risk assessment
Vibration risk assessment
Electromagnetic risk assessment
Mechanical risk assessment
Biological risk assessment
Cumulative exposure assessment
Dose assessment
Intensity assessment
Duration assessment
Interaction risk assessment
Contraindication identification
Adverse effect identification
Uncertainty identification
Unknown effect classification
Stop condition generation
Escalation criteria
Professional evaluation triggers
Experimental classification
Safety documentation
Risk benefit analysis

Personalization Module

The Personalization Module adapts research methodologies and movement approaches to defined goals, constraints, capabilities, environments, equipment, and measured responses.

Features

Goal-based personalization
Capability-based personalization
Movement-based personalization
Environment-based personalization
Equipment-based personalization
Constraint-based personalization
Progress-based personalization
Feedback-based personalization
Measurement-based personalization
Adaptive methodology generation
Individual response tracking
Individual variability analysis
Personal baseline generation
Personal progression models
Personalized research questions

Feedback and Adaptation Module

The Feedback and Adaptation Module uses measurements and observations to determine whether a methodology should be maintained, modified, progressed, regressed, or replaced.

Features

Continuous feedback
Measurement feedback
User-reported feedback
Sensor feedback
Outcome feedback
Technique adjustment
Parameter adjustment
Frequency adjustment
Intensity adjustment
Duration adjustment
Volume adjustment
Progression adjustment
Regression adjustment
Methodology replacement
Failure detection
Response pattern detection
Adaptive experimentation

Artificial Intelligence Agent Module

The Artificial Intelligence Agent Module provides specialized research agents that can independently investigate specific domains while contributing findings to the larger Sonaris system.

Features

Literature research agent
Biology research agent
Frequency research agent
Electromagnetic research agent
Acoustic research agent
Sound technology agent
Electricity research agent
Sound and sand research agent
Biomechanics agent
Movement research agent
Rehabilitation research agent
Recovery research agent
Experimental design agent
Statistical analysis agent
Evidence verification agent
Safety analysis agent
Patent research agent
Engineering research agent
Materials research agent
Signal processing agent
Data analysis agent
Hypothesis generation agent
Peer review agent
Adversarial verification agent
Research synthesis agent

Transparency and Auditability Module

The Transparency and Auditability Module maintains records necessary to understand how research, evidence, methodologies, experiments, and conclusions were produced.

Features

Decision logging
Research trail
Source provenance
Claim provenance
Methodology provenance
Evidence provenance
Experiment records
Parameter records
Version control
Knowledge version control
Dataset version control
Configuration version control
Reproducibility records
Audit reports
Uncertainty reporting
Confidence reporting
Human approval records

Knowledge Classification Module

The Knowledge Classification Module ensures that Sonaris does not represent hypotheses, correlations, preliminary findings, or unsupported claims as established facts.

Features

Established knowledge classification
Strong evidence classification
Moderate evidence classification
Limited evidence classification
Preliminary evidence classification
Conflicting evidence classification
Insufficient evidence classification
Unknown classification
Hypothesis classification
Experimental methodology classification
Unvalidated methodology classification
Disproven hypothesis classification
Deprecated methodology classification
Historical methodology classification
Emerging research classification
Evidence status tracking
Claim status tracking
Methodology status tracking

Reporting Module

The Reporting Module converts research and analysis into structured outputs for humans, researchers, developers, and other systems.

Features

Research reports
Evidence reports
Frequency reports
Biological effect reports
Acoustic technology reports
Sound and electricity reports
Sound and sand reports
Matter manipulation reports
Movement reports
Recovery reports
Technique reports
Methodology reports
Experimental reports
Safety reports
Comparative reports
Literature reviews
Research gap reports
Hypothesis reports
Reproducibility reports
Audit reports
Human-readable reports
Machine-readable reports

Human Oversight Module

The Human Oversight Module keeps consequential research, interpretation, experimentation, and implementation under appropriate human control.

Features

Human-defined objectives
Human-approved methodologies
Human-controlled experiments
Human override
Human review
Human interpretation
Human approval gates
Professional escalation pathways
Explicit uncertainty
No automatic assumption of causation
No automatic classification of hypotheses as facts
Clear distinction between research and established knowledge
Clear distinction between experimental and validated techniques
User-defined research boundaries

Local First Module

The Local First Module supports implementations that prioritize user control, privacy, portability, and independence from centralized infrastructure.

Features

Local model support
Local knowledge base
Local vector database
Local research archive
Local data processing
Local sensor processing
Offline operation
Self-hosted deployment
Privacy-conscious data handling
User-controlled data
User-controlled models
User-controlled research sources
Exportable knowledge
Portable configurations
Portable methodologies
Vendor-independent deployment

Interoperability Module

The Interoperability Module allows Sonaris modules and external systems to exchange research, data, measurements, methodologies, and results through standardized interfaces.

Features

Modular interfaces
Machine-readable research records
Structured evidence exchange
Data import
Data export
Sensor interoperability
Model interoperability
Hardware interoperability
Research source interoperability
Plugin interoperability
Simulation interoperability
Knowledge graph interoperability
Methodology exchange
Experiment exchange
Version compatibility
API-based integration
Vendor-independent interfaces

Optional Plugin Modules

Sonaris supports optional plugins that extend the core specification without requiring every implementation to include every specialized capability.

Frequency Plugins

Specialized frequency databases
Frequency calculators
Spectrum analyzers
Frequency visualization
Frequency comparison systems
Frequency experiment automation

Sound Plugins

Audio analysis
Audio synthesis
Acoustic modeling
Sonification
Spatial audio
Acoustic imaging
Sonar systems
Advanced signal processing

Sound and Material Plugins

Sand analysis
Granular material analysis
Acoustic levitation
Acoustic manipulation
Particle tracking
Material response measurement
Granular simulation

Electrical Plugins

Circuit analysis
Electrical signal analysis
Power analysis
Electromechanical modeling
Piezoelectric systems
Energy harvesting
Electrical measurement

Biological Research Plugins

Specialized biological databases
Anatomy databases
Physiology databases
Tissue models
Biological signal analysis
Cellular research databases
Research literature connectors

Movement Plugins

Motion capture
Gait analysis
Posture analysis
Exercise analysis
Biomechanical modeling
Wearable sensor integration
Movement visualization

Research Database Plugins

Academic databases
Scientific literature services
Patent databases
Public datasets
Specialized research repositories
Institutional research collections

Laboratory Plugins

Laboratory instruments
Frequency generators
Acoustic equipment
Vibration equipment
Electrical measurement equipment
Motion capture systems
Environmental sensors
Automated experiment systems

Simulation Plugins

Acoustic simulation engines
Electromagnetic simulation engines
Biomechanical simulation engines
Fluid simulation engines
Particle simulation engines
Granular simulation engines
Multiphysics simulation engines

AI Model Plugins

Local language models
Scientific language models
Vision models
Audio models
Signal processing models
Specialized biological models
Specialized physics models
Reasoning models

Research Principles

Sonaris implementations should maintain clear boundaries between evidence, inference, hypothesis, experimentation, and established knowledge.

Frequency should be treated as a multidimensional research variable rather than as an isolated number. Research should consider frequency, waveform, amplitude, intensity, energy, modulation, duration, exposure pattern, direction, medium, environment, and other relevant variables.

Sonaris should not assume that an effect observed in one domain automatically applies to another domain. Biological frequency effects, physical matter manipulation, sound technology, electrical interactions, and mechanical effects should remain independently evaluated even when their research may be interconnected.

Potential healing or recovery methodologies should be treated as research subjects and evaluated according to available evidence, measurable outcomes, safety considerations, uncertainty, and appropriate human oversight.

Novel methodologies may be generated as hypotheses or experimental proposals, but they must not be presented as established facts without supporting evidence.

Extensibility

Sonaris is designed to continuously expand through new modules, plugins, research sources, AI agents, datasets, sensors, instruments, simulations, methodologies, and scientific disciplines.

Future implementations may extend Sonaris into additional domains including new frequency ranges, biological systems, materials, energy systems, movement systems, technological applications, environmental interactions, and experimental methodologies without requiring changes to the fundamental modular architecture.

Specification Branding License (SBL)

Standard

Fully AGPL-3.0+ compliant system
Copyleft enforced for network deployments
Required attribution:
- Roxanne Ardary
- https://www.roxanneardary.com/

Optional

Specification Branding License (SBL)
- Attribution-free commercial deployment
- Pricing based on scale, usage, and deployment scope
- https://roxanneardary.com/sonaris/

License & Notice Requirements

Sonaris is released under the GNU Affero General Public License v3.0 or later (AGPL-3.0+).

By contributing to any Open Arsenal project, you agree that your contributions will also be released under this license.

Please note the following:

All contributions must comply with the AGPL-3.0+ terms.
Under Section 7 of the license, all redistributions, forks and derivative works must preserve attribution to:
Roxanne Ardary and roxanneardary.com.
Sonaris specifications are free to use with attribution. A Specification Branding License can be negotiated upon request.
The project’s notice.md file tracks attribution requirements and contributor acknowledgments.
Any update that adds new contributors or modifies attribution should also update notice.md.
When submitting a pull request, ensure that any new files maintain the attribution headers where applicable.
Network-deployed versions of this software must also remain fully AGPL-3.0+ compliant, including exposure of source code modifications when applicable under the license.

For full legal details, please refer to the AGPL-3.0+ license and the project’s notice.md file.

Notice – Sonaris

Attribution Requirement: Under Section 7 of the AGPL 3.0+ license, all redistributions, forks and derivative works, including network-deployed versions of this project, must provide attribution to Roxanne Ardary and roxanneardary.com.

Contributors

This file tracks contributors and their specific contributions to the project.

Roxanne Ardary, roxanneardary.com – August 28, 2026
Created the repository for Sonaris. Developed the foundational concept and specification for a modular multi-task AI focused on researching frequency, sound, vibration, energy, movement, matter, biology, healing and technology.
[Add other contributors here] – [Date]
[Describe contribution in one sentence]

License – Sonaris

This repository is licensed under the GNU Affero General Public License v3.0 or later (AGPL-3.0+).

Key Points:

You are free to use, modify, and distribute the code.
All redistributions, forks, and derivative works or network-deployed versions must also be licensed under AGPL-3.0+ and provide attribution to Roxanne Ardary and roxanneardary.com as required under Section 7 of the license.
The software is provided “as is,” without warranty of any kind.

For the full license text, see GNU AGPL-3.0 License.