Seigr is a pioneering, eco-inspired decentralized data and network ecosystem designed for resilience, adaptability, and transparency. Currently under active development, Seigr reimagines decentralized computing by drawing on the adaptive intelligence of mycelium networks. Its purpose? To self-organize, self-heal, and prioritize sustainability across a decentralized, ethically-driven framework. Seigr’s capabilities include data lineage tracking, file distribution, and adaptive resilience across network nodes — all working to foster a self-repairing, energy-efficient ecosystem for the digital world.
As a forward-looking project, Seigr is in an exciting growth phase where new components are being architected, tested, and integrated. Below, you’ll find our roadmap to see where we are and where we’re heading, with modules at varying stages from completed to planned. This journey is one of exploration, and we’re committed to building an ecosystem that redefines decentralized computation in an eco-conscious way.
Seigr is designed to be modular and inclusive. Whether you’re experienced in decentralized systems, interested in eco-inspired computing, or passionate about ethical data management, we welcome you to be part of this open-source initiative!
The Seigr ecosystem pushes the boundaries of decentralized computation through an eco-conscious, biomimetic approach. With senary encoding for leaner storage, AI-driven adaptability, and distributed storage protocols, Seigr’s architecture is built to be a highly scalable, transparent, and self-healing network. Within this system, nodes (or “hyphens”) dynamically adjust to real-time data needs and anomalies, optimizing efficiency while supporting data resilience.
Key areas of focus:
- Data Lineage Tracking
- Adaptive Replication
- Secure Identity Services
- Real-Time Analytics
- AI-Enhanced Self-Healing
At Seigr's core is senary encoding, which supports computational efficiency and sustainable energy use. This unique model, inspired by biological efficiency, enables faster processing, leaner storage, and reduced power consumption — a fresh approach that aligns digital infrastructure with eco-conscious goals.
- Crypto Layer: Senary-encoded, energy-efficient hashing and encryption for secure data integrity.
- Lineage Management: Transparent, comprehensive data lineage tracking with audit trail capability.
- Replication & Redundancy: Self-healing replication for high fault tolerance across distributed networks.
- File Management: Modular file handling optimized for storage and retrieval within a decentralized system.
- Identity & Access Control: Decentralized identity services for secure validation and access.
- IPFS and Decentralized Storage Integration: Leveraging IPFS for enhanced file storage and redundancy.
- AI-Driven Analytics: Real-time monitoring, anomaly detection, and resilience modeling through predictive AI.
Seigr’s development journey is mapped out to deliver increased scalability, resilience, and eco-efficiency across its modules. Here’s where each module stands today:
| Module | Status | Estimated Completion | Description |
|---|---|---|---|
| Crypto Layer | Completed | Completed | Optimized for secure, eco-efficient hashing and senary encoding. |
| Lineage Management | In Progress | 1 Month | Expanded data lineage and dependency tracking. |
| Replication & Redundancy | In Progress | 2 Months | Self-healing, adaptive replication for enhanced fault tolerance. |
| File Management | Planned | 3 Months | Modular, decentralized storage architecture. |
| Integrity Checks | In Progress | 1.5 Months | Advanced integrity checks with self-repair mechanisms. |
| Identity Management | Planned | 2 Months | Decentralized ID verification for secure access control. |
| IPFS Integration | In Progress | 1 Month | IPFS integration to strengthen decentralized storage. |
| Machine Learning | In Progress | 2.5 Months | AI-driven adaptability for predictive resilience. |
| Alerting & Monitoring | In Progress | 1 Month | Real-time alerting with adaptive thresholds. |
| Visualization | Planned | 2 Months | Dashboards and tools for lineage visualization and metrics. |
| Documentation | Ongoing | Continuous | Detailed protocol and development documentation. |
Seigr’s modular design and flexible protocols allow for continuous refinement. Here’s a look at recent enhancements to the ecosystem:
- New Protocols:
visualization.proto,streaming.proto,machine_learning.proto,alerting.proto, andsensor_management.protofor visualization, real-time streaming, and adaptive learning. - Analytics Expansion: Enhanced
analytics.protowith trend analysis, adaptive thresholds, and anomaly detection.
- Network Management:
network.protopowers peer-to-peer interactions and protocol interoperability. - Streaming & Sensor Integration:
streaming.protoandsensor_management.protosupport continuous data ingestion from sensors and adaptive network streams.
- Machine Learning Protocols: Model management, versioning, and inferencing in
machine_learning.proto. - Predictive Analytics: Advanced metrics for anomaly detection, risk assessment, and trend forecasting.
- Multi-Level Alerts:
alerting.protoconfigures severity-based alerts and channel notifications. - Threshold Adaptability: Alerts adapt dynamically based on real-time data conditions.
Seigr is a first-of-its-kind, biomimetic digital ecosystem built on sustainable, community-centric principles. Its eco-conscious architecture, grounded in senary encoding and energy-efficient protocols, aims to reduce the carbon footprint of data management. Designed for modular expansion, Seigr provides collaborators with a robust and adaptable environment for decentralized innovation.
- Sustainable Infrastructure: Senary encoding and eco-focused protocols minimize resource usage.
- Transparency & Traceability: Detailed data lineage tracking supports traceable, secure operations.
- Self-Healing Design: AI-driven models and adaptive replication strategies ensure network resilience.
- Modularity & Scalability: Flexible architecture that allows feature extensions and independent scaling.
- Ethical & Community-Aligned: Built with transparency, community-led governance, and ethical data usage as core values.
Seigr welcomes you to join the development adventure! To get started:
-
Clone the repository:
git clone https://github.com/Seigr-lab/seigr.git cd seigr -
Install dependencies:
conda env create -f environment.yml conda activate seigr
-
Run tests:
python -m unittest discover -s src/tests
Seigr’s mission thrives on open collaboration. We welcome contributors excited by the intersections of decentralized systems, eco-conscious computation, and adaptive intelligence. Please review our Contribution Guide for detailed steps and community standards.
Support from the community helps drive Seigr’s progress. Sponsors enjoy early access, influence over development direction, and exclusive updates.
- Immediate Goal: Reach 100 monthly sponsors to expedite redundancy and adaptive learning features.
- Long-Term Goal: Accelerate IPFS integration and AI-driven network resilience.
To sponsor, visit the GitHub Sponsors page.
Seigr is available under a dual-license system, allowing contributors and users the freedom to choose between the permissive MIT License or the ethically-aligned Provisional Rebel Earthling License (RE License) v0.1.
Supports free use, modification, and redistribution.
Prioritizes eco-conscious, community-driven collaboration, transparency, and ethical data handling. Built to evolve with feedback and adapt to community values.
For full terms, please see the LICENSE file.
Seigr is more than software; it’s a commitment to rethinking the infrastructure that powers decentralized computing. Thank you for supporting Seigr’s vision and for joining us in crafting a more resilient, ethical, and sustainable digital ecosystem.