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SynchroFab
Building Smarter Factories, One Line at a Time.
Overview
SynchroFab is an open-source, modular EC4P (Edge-Cloud 4th-Generation Production) platform for intelligent manufacturing environments. The platform combines edge computing, cloud orchestration, artificial intelligence, robotics, industrial IoT, and digital twin technologies into a unified ecosystem capable of building adaptive, self-improving, and sustainable factories.
The platform is designed around a plugin-based architecture that allows manufacturers, system integrators, researchers, and developers to deploy only the components they need while maintaining interoperability across the entire system.
Design Principles
- Modular and extensible architecture
- Open standards and vendor neutrality
- Edge-first processing with cloud coordination
- Human-in-the-loop decision making
- Explainable and auditable AI
- Security by design
- Sustainable manufacturing optimization
- Multi-factory scalability
- Open-source community driven development
Core Architecture
Edge Layer
Provides real-time intelligence directly on the factory floor.
Responsibilities
- Machine monitoring
- Sensor processing
- Robotics coordination
- Local AI inference
- Safety monitoring
- Offline operations
- Local data storage
Cloud Layer
Provides centralized orchestration and analytics.
Responsibilities
- Model training
- Multi-factory management
- Historical analytics
- Dashboarding
- Digital twin simulations
- Cross-factory optimization
- Global reporting
Integration Layer
Provides communication between all systems.
Responsibilities
- Device communication
- API management
- ERP integration
- MES integration
- SCADA integration
- Third-party extensions
Module Specifications
Module: Factory Edge Intelligence
Features
- Computer vision quality control
- Visual defect detection
- Surface inspection
- Product classification
- Multi-camera inspection
- Predictive maintenance
- Equipment health scoring
- Failure prediction
- Remaining useful life estimation
- Workflow optimization
- Production balancing
- Dynamic task scheduling
- Edge data preprocessing
- Local analytics
- Sensor fusion
- Offline operation mode
- Self-healing AI modules
- Autonomous equipment calibration
- Reinforcement learning optimization
- Collaborative robot coordination
- Safety monitoring
- Machine anomaly detection
- Environmental monitoring
- Context-aware production adjustments
Module: Industrial IoT Platform
Features
- Universal device drivers
- MQTT support
- OPC UA support
- Modbus support
- PLC integration
- Robotics integration
- Sensor management
- Device discovery
- Remote management
- Edge-to-edge communication
- Secure device enrollment
- Device health monitoring
- OTA updates
- Device provisioning
- Hardware abstraction layer
Module: Cloud Orchestration
Features
- Central AI orchestration
- Fleet management
- Multi-factory administration
- Model deployment
- Model versioning
- Federated learning
- Centralized training
- Cross-factory benchmarking
- Performance monitoring
- Alerting engine
- Distributed task scheduling
- Configuration management
- Remote diagnostics
- Resource orchestration
- AI lifecycle management
Module: Digital Twin Platform
Features
- Factory simulation
- Production simulation
- Equipment simulation
- Workflow simulation
- Physics simulation
- Scenario planning
- What-if analysis
- Capacity planning
- Bottleneck prediction
- Virtual commissioning
- Process optimization
- Inter-factory simulations
- Simulation-based AI training
- Experimental workflow simulations
- AI-generated factory blueprints
- Generative layout optimization
Module: Artificial Intelligence Engine
Features
- Adaptive AI
- Explainable AI
- Human-in-the-loop AI
- Federated learning
- Self-improving algorithms
- Meta-learning
- Generative AI optimization
- Decision recommendation engine
- Production forecasting
- Risk assessment
- Maintenance optimization
- Production optimization
- Quality prediction
- Root cause analysis
- Continuous benchmarking
- Multi-model orchestration
- Automated R&D suggestion engine
- Generative manufacturing recipes
- AI-generated experiments
Module: Robotics & Automation
Features
- Robot fleet management
- Robot orchestration
- Collaborative robotics
- Autonomous production optimization
- Robotic task scheduling
- Robot health monitoring
- Swarm robotics
- AGV coordination
- Material handling automation
- Intelligent path planning
- Adaptive tooling generation
- Autonomous machine configuration
- Self-scaling production lines
Module: Human-AI Collaboration
Features
- Personalized AI assistant
- Intelligent task recommendations
- Voice control
- Gesture control
- Natural language interaction
- Real-time notifications
- AR operator guidance
- VR training environments
- Personalized AR overlays
- Emotion detection
- Attention detection
- Fatigue detection
- Unsafe behavior detection
- Cognitive load management
- Predictive workforce planning
- AI-assisted decision rooms
- Personalized training recommendations
- Adaptive user interfaces
Module: Production Operations
Features
- Inventory tracking
- Barcode management
- RFID management
- Production scheduling
- Supply chain optimization
- Dynamic resource allocation
- Order management
- Product lifecycle management
- Demand forecasting
- Production planning
- Production risk management
- Operational forecasting
- Capacity optimization
- Throughput optimization
- Downtime analysis
- Automated maintenance scheduling
Module: Sustainability Platform
Features
- Energy optimization
- Smart energy scheduling
- Carbon footprint tracking
- Waste reduction analytics
- Material reuse recommendations
- Circular production planning
- Smart material substitution
- Energy market optimization
- Carbon credit management
- Waste-to-resource conversion
- Renewable energy integration
- Energy storage management
- Environmental impact simulation
- Sustainability reporting
- ESG metrics
- Green manufacturing recommendations
Module: Security & Compliance
Features
- End-to-end encryption
- Secure communications
- Role-based access control
- Identity management
- Audit logging
- Threat detection
- Smart audit analysis
- AI model validation
- Secure OTA updates
- Production record immutability
- Compliance monitoring
- Automated reporting
- Security analytics
- Cyber anomaly detection
- Tamper detection
- Self-defending systems
- Product provenance tracking
- Smart contract support
Module: Analytics & Intelligence
Features
- Real-time dashboards
- KPI monitoring
- OEE tracking
- Production reporting
- Historical analytics
- Forecasting
- Trend analysis
- Benchmarking
- Executive dashboards
- Custom reports
- Alerting engine
- Multi-site analytics
- Predictive analytics
- Financial analytics
- Operational intelligence
Module: Developer Platform
Features
- Plugin architecture
- Module marketplace
- Public APIs
- REST APIs
- gRPC APIs
- SDK support
- Event system
- Workflow engine
- Extension framework
- Documentation generator
- Tutorial generator
- Testing framework
- Simulation datasets
- Benchmark datasets
- Developer tools
- CLI utilities
Module: Community Platform
Features
- Shared AI models
- Collaborative model training
- Federated model exchange
- Community datasets
- Example factories
- Example simulations
- Plugin repository
- Community benchmarking
- Research collaboration
- Hackathon support
- Knowledge base
- Documentation portal
- Contribution tracking
Deployment Modes
Single Factory
Designed for one facility with local edge processing.
Multi-Facility
Supports centralized management across multiple sites.
Private Cloud
Self-hosted deployment.
Public Cloud
Cloud-native deployment.
Hybrid Edge-Cloud
Distributed intelligence between local and cloud systems.
Air-Gapped Industrial Networks
Complete offline operation with optional synchronization.
Primary Goals
- Increase production efficiency
- Reduce equipment downtime
- Improve product quality
- Reduce operational costs
- Enhance worker safety
- Lower environmental impact
- Enable intelligent automation
- Provide explainable AI
- Build adaptive factories
- Create a fully open manufacturing ecosystem
Long-Term Vision
SynchroFab aims to become the open standard for intelligent manufacturing by providing a modular, extensible, and community-driven platform that allows factories of any size to adopt advanced AI, robotics, and sustainability technologies without vendor lock-in.
Specification Branding License (SBL)
Standard
- Fully AGPL-3.0+ compliant system
- Copyleft enforced for network deployments
- Required attribution:
- Roxanne Ardary
- roxanneardary.com
Optional
- Specification Branding License (SBL)
- Attribution-free commercial deployment
- Pricing based on scale, usage, and deployment scope
- https://roxanneardary.com/synchrofab/
License & Notice Requirements
SynchroFab is released under the GNU Affero General Public License v3.0 or later (AGPL-3.0+).
By contributing to this 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.
- SynchroFab specifications are free to use with attribution. A Specification Branding License can be negotiated upon request.
- The project’s
notice.mdfile tracks attribution requirements and contributor acknowledgments. Any update that adds new contributors or modifies attribution should also updatenotice.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 – SynchroFab
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 – March 29, 2026
Created the SynchroFab repository and defined the initial architecture for an AI-driven, edge-cloud smart factory (EC4P) platform including core modules for automation, analytics, and sustainability. - [Add other contributors here] – [Date]
[Describe contribution in one sentence]
License – SynchroFab
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.