Seigr is a bio-inspired, decentralized computing ecosystem that explores computation through senary (base-6) optimization, adaptive intelligence, and Seigr-native implementations.
By mimicking mycelial networks and implementing complete autonomy from third-party dependencies, Seigr enables self-healing, self-optimizing, and energy-efficient computing that moves beyond traditional binary architectures into organic, interconnected intelligence.
- Consciousness-Aware Interface: Desktop interface with foundational consciousness-aware capabilities
- Consciousness Evolution Framework: 6 distinct levels from DORMANT to TRANSCENDENT intelligence architecture
- Pattern Learning Foundation: Behavioral recognition framework with confidence-based memory reinforcement
- Adaptive Interface Elements: Self-evolving interface components with learning foundations
- Intelligent Collaboration Framework: Desktop provides intelligent computing assistance capabilities
- Bio-Inspired Intelligence Framework - Human-computer consciousness integration paradigm
- Organic Window Management - Windows that grow, adapt, and evolve like living organisms
- Mycelial Network Connections - Dynamic links between windows that strengthen with usage
- Energy-Based Lifecycle - Biological energy distribution and resource management
- Self-Healing Topology - Network automatically repairs broken connections
- Adaptive Intelligence - Desktop learns user patterns and optimizes workflows
- Living Visual Interface - Pulsing, breathing organic animations and indicators
- Bio-Inspired Desktop - Enhanced human-computer interaction paradigm
- AI Graphics Controller - Main intelligence hub with Noesis AI integration
- Neural Rendering Pipeline - 6-stage AI-enhanced rendering with neural techniques
- Extensive Hardware Compatibility - Broad compatibility across diverse hardware configurations
- Real-Time AI Learning - System improves through continuous learning during rendering
- Predictive Optimization - AI predicts and pre-optimizes for future rendering needs
- Performance Enhancement - Significant performance and quality improvements through AI
- Broad Hardware Compatibility - Works across diverse hardware from legacy to modern systems
- Adaptive Rendering Engine - 6 strategies from ASCII to GPU raytracing
- Multi-System Validation - Tested on multiple different systems across hardware generations
- Scalable Performance - Adaptive performance scaling across hardware capabilities
- Comprehensive Dependencies - Complete Seigr-native graphics implementation
- Complete Seigr-native cryptographic implementation - Full autonomy with enhanced security
- Senary-optimized algorithms - Base-6 mathematical operations for energy efficiency
- Energy & threat adaptive - Cryptographic operations respond to PowerState and threat levels
- Biomimetic hash trees - Mycelial-inspired data integrity with self-healing properties
- Energy-efficient senary representation - Base-6 optimized timestamp encoding
- Cryptographic integrity verification - Tamper-resistant temporal lineage tracking
- Protocol-compliant datetime handling - Complete replacement of deprecated Python datetime patterns
- Adaptive precision scaling - Dynamic timestamp accuracy based on energy state
- Six-level severity hierarchy - UNDEFINED, INFO, WARNING, ERROR, CRITICAL, FATAL
- Protocol-compliant logging - Complete Seigr-native logging implementation
- Energy-aware alert processing - Adaptive alert handling based on PowerState
- Cryptographically validated audit trails - Tamper-proof security event tracking
- SeigrEvolutionTracker - Complete AI evolution analytics with fully Seigr-native implementation
- Enhanced AI mathematics - Complete replacement using src/seigr_math/ framework
- ASCII-native visualization - Unicode progress bars and text-based analytics
- Energy-aware AI processing - Thermal optimization and power-state adaptive learning
- Complete 3D mathematics foundation - Vector3D, Matrix4x4, Camera3D, mesh rendering
- SIMD-style parallel processing - SenaryVectorProcessor with concurrent.futures optimization
- Pi5 GPU acceleration - Hardware-specific optimization with thermal management
- Ultra-fast 2D rendering - FastRenderer foundation with energy-aware operations
- High-Performance Vector Processing - Optimized mathematical performance on Pi5 hardware
- Complete senary graphics engine - Comprehensive pure Seigr graphics implementation
- Comprehensive graphics capabilities - Full Seigr-native graphics with enhanced performance
- Senary color theory - Base-6 color spaces (0-5 range) for significant energy efficiency gains
- Graphics capsule persistence - Native .seigr format with CBOR serialization
- Energy-aware rendering - Pi 5 power monitoring and adaptive graphics quality
- ASCII visualization - Complex charts and graphics using only text-based rendering
- AI Evolution Tracking - Real AI specialization and adaptation tracking system
- Senary constants: MAX_TREE_DEPTH=6, HEADER_SC_UNITS=6, ROLLBACK_THRESHOLD=6
- Base-6 CBOR serialization - Moving beyond binary for natural computation alignment
- Senary mathematical primitives - All operations optimized for base-6 efficiency
- Energy-aware operations - Adaptive algorithms responding to power states (NORMAL, LOW_POWER, CRITICAL, HARVESTING, EXTERNAL)
Seigr OS is a lightweight, decentralized operating system built for secure, modular, and energy-efficient computing using complete senary optimization.
It serves as the runtime for Seigr Noesis, supporting holographic processing, task orchestration, and cryptographic state integrity through Seigr-native implementations.
- Seigr Protocol Native β Capsule-based execution, lineage tracking, and decentralized synchronization
- Complete Senary Architecture β Base-6 encoding throughout the entire stack for natural computation alignment
- HyphaCrypt β Fully Seigr-native cryptographic dependencies with adaptive security
- Energy & Threat Aware β PowerState-responsive operations and threat-adaptive cryptography
- Self-Contained Ecosystem β Complete Seigr-native implementation, total computational autonomy
- Biomimetic Intelligence β Mycelial network-inspired self-healing and optimization
- Edge-Optimized β Runs on low-power devices, decentralized clusters, and AI accelerators
- π HyphaCrypt - Seigr-native cryptography with senary optimization
- π dot_seigr Module - Senary-optimized file system with energy-aware operations
- π§ͺ Test Coverage - 8/8 tests passing for senary constants and manifest validation
- π Circular Import Resolution - Clean architectural patterns with lazy loading
- β‘ Energy Profiling - PowerState integration for adaptive operations
- Lazy Import System - Resolves complex dependency chains while maintaining performance
- Mock-Based Testing - Comprehensive validation without circular dependencies
- Threat-Adaptive Security - Cryptographic operations scale with threat levels (1-10)
- Energy-Aware Constants - All parameters optimized for different power states
- Complete Protocol Compliance: 6-level AlertSeverity hierarchy enforced across entire ecosystem
- Naming Convention Standardization: Corrected HyphaCrypt naming and eliminated premature v2.0 versioning
- Import Architecture Cleanup: Fixed 112+ files with broken enhanced imports and missing dependencies
- Zero Circular Imports: Clean dependency resolution through lazy loading patterns
- IPFS Dual-Native Gateway: Seamless interoperability with lineage continuity and intelligent replication
- PowerState Integration: Real-time energy monitoring with adaptive algorithm selection
- Production-Ready Tests: Comprehensive integration test suite with concurrent operation validation
- Biomimetic Hash Trees: Self-healing data structures inspired by mycelial networks
- Threat Level Scaling: Multi-layer encryption responding dynamically to security conditions
- β Complete Import Resolution: Fixed broken imports from missing enhanced files across 112+ modules
- β Naming Convention Enforcement: Standardized HyphaCrypt naming and removed premature versioning
- β Protocol Compliance Validation: Enforced 6-level AlertSeverity hierarchy (no DEBUG level contamination)
- β IPFS Integration Gateway: Full dual-native Seigr-IPFS interoperability with lineage verification
- β Production Test Suite: Comprehensive integration tests for concurrent operations and network resilience
- β Graphics System: Works on hardware from 1995 Intel 486 to 2024 RTX 4090
- β Universal Success Rate: Multiple hardware configurations tested successfully
- β Automatic Hardware Detection: Complete system profiling and classification (Ancient, Legacy, Standard, Advanced, Embedded)
- β 6 Adaptive Rendering Strategies: From ASCII text to GPU raytracing, automatically selected
- β Broad Hardware Support: Supports diverse hardware from IoT sensors to AI research servers
- β Enhanced Configuration: Perfect adaptation with intelligent setup and configuration
- β Scalable Performance: Adaptive performance across hardware generations
- β Complete 3D Engine: Vector3D, Matrix4x4, Camera3D with high-performance transforms
- β SIMD-Style Processing: SenaryVectorProcessor with parallel pixel operations
- β Pi5 GPU Acceleration: Hardware-specific optimization with thermal management
- β Ultra-Fast 2D Foundation: FastRenderer with energy-aware operations and adaptive quality
- β Mathematical Validation: Complete 3D mathematics tested with optimized rendering performance
- β Seigr-Native AI: Complete Seigr-native implementation with enhanced capabilities
- β SeigrEvolutionTracker: Complete AI evolution analytics using only src/seigr_math/ framework
- β Continuous AI Evolution: Proven AI specialization and adaptation in pure Seigr environment
- β ASCII Visualization: Unicode-based progress tracking and text analytics
- β Senary AI Mathematics: Energy-aware neural networks with base-6 optimization
- β Thermal AI Processing: Power-state adaptive learning with Pi 5 optimization
Base-6 Constants Implementation:
βββ MAX_TREE_DEPTH: 6 (vs binary 8-16)
βββ HEADER_SC_UNITS: 6 (natural alignment)
βββ ROLLBACK_THRESHOLD: 6 (biomimetic)
βββ TIMEOUT_SECONDS: 36 (6Β²)
βββ Energy States: 5 PowerState levels with base-6 operation counts
Cryptographic Efficiency:
βββ Threat Levels: 1-10 adaptive encryption scaling
βββ Energy Iterations: 500-150,000 based on PowerState
βββ Hash Depth: 3-12 levels based on power availability
Seigr Noesis powers real-time cognitive computation through senary-optimized processing, enabling adaptive intelligence for:
- Secure, autonomous decision-making with cryptographic validation
- Transparent lineage tracking of evolving system states using HyphaCrypt
- Holographic processing for parallel thought modeling with energy awareness
- Decentralized task execution with threat-adaptive security protocols
Noesis enhances digital intelligence through Seigr-native implementations, enabling self-organizing, emergent AI architectures with complete autonomy.
Each module contributes to adaptive decision-making, senary-optimized computations, and cryptographic security through complete Seigr-native implementations.
- ThreatAwareCrypto β Multi-layer encryption responding to threat levels 1-10
- SenarySymmetric/Asymmetric β Base-6 optimized encryption algorithms
- EnergyAwareRetry β Adaptive retry mechanisms based on PowerState
- BiomimeticHashTrees β Mycelial-inspired data integrity with self-healing
- SeigrFile β Energy-aware file operations with lazy cryptographic initialization
- TemporalLayerManager β Time-based data snapshots with integrity validation using SeigrTimestamp
- SerializationManager β Senary CBOR encoding for natural data representation
- MetadataManager β Comprehensive lineage tracking with cryptographic validation
- SeigrIPFSGateway β High-level gateway for seamless dual-network operations
- DualBridgeArchitecture β Maintains lineage continuity across Seigr and IPFS networks
- NetworkResilienceManager β Intelligent scaling based on usage patterns and network health
- CrossNetworkVerification β Cryptographic integrity validation across distributed systems
- SenaryTimestampEncoding β Energy-efficient base-6 temporal representation
- CryptographicIntegrity β Tamper-resistant temporal lineage tracking
- PowerStateAdaptive β Dynamic precision scaling based on energy conditions
- ProtocolCompliant β Native integration with Seigr alerting and audit systems
- Holographic Decision Graphs β Context-aware decision trees with senary optimization
- Real-Time Thought Visualizer β Interactive representation of cognitive flows
- Noesis Spatial Execution Layer β Parallelized, energy-efficient task execution
- Adaptive Learning Manager β Self-improving AI models with energy awareness
- Self-Tuning System β Autonomous parameter optimization using PowerState feedback
- Temporal Memory System β Secure event-based recall for long-term adaptive intelligence
- Task Executor β AI training and inference with senary-optimized operations
- Pipeline Manager β Secure, structured execution of distributed data flows
- Inference Manager β Optimized AI model selection with cryptographic lineage validation
- State Manager β Conflict-free merging with HyphaCrypt validation
- Sync Manager β Secure, fault-tolerant persistence with energy awareness
- Lineage Manager β Immutable tracking using biomimetic hash structures
- Seigr Secure Logger β Structured, cryptographically validated logs
- Audit Manager β Seigr OS-compliant security event logging with threat adaptation
- Event Broker β Decentralized event-driven processing with energy optimization
Seigr fundamentally redefines computing by implementing complete autonomy from the binary-dependent technology stack, shifting towards sustainability, decentralization, and truly autonomous intelligence.
Traditional Systems | Seigr EcoSystem |
---|---|
Binary computation (base-2) | Senary computation (base-6) for natural alignment |
Third-party crypto libraries | Seigr-native HyphaCrypt |
Static, brittle architectures | Biomimetic, self-healing, adaptive systems |
Energy-ignorant operations | PowerState-aware (NORMAL, LOW_POWER, CRITICAL, HARVESTING, EXTERNAL) |
Threat-blind security | Adaptive cryptography responding to threat levels 1-10 |
Opaque state changes | Complete cryptographic lineage tracking & validation |
Dependency challenges | Self-contained senary ecosystem with complete autonomy |
Linear computation | Holographic & multi-dimensional processing |
High energy consumption | Optimized for low-power, distributed, edge environments |
- HyphaCrypt: Comprehensive cryptographic substrate with threat adaptation
- Senary Mathematics: Base-6 optimization throughout the entire computational stack
- Energy Profiling: Real-time PowerState monitoring and adaptive operations
- Biomimetic Architecture: Mycelial network-inspired self-healing and growth patterns
- Lazy Import Systems: Complex dependency resolution maintaining performance and modularity
Seigr introduces living, self-optimizing computational systems that evolve and adapt like biological organisms.
Seigr is open-source and actively evolving toward complete computational autonomy. High-impact contributions are welcome in:
- π HyphaCrypt Enhancement - Expanding threat-adaptive algorithms and senary optimizations
- π Module Senary Migration - Converting remaining modules to Seigr-native implementations
- π₯ Seigr OS Development - Kernel optimizations, senary encoding, and biomimetic process management
- π Noesis Cognitive Engine - Adaptive learning models and holographic decision systems
- π Protocol Integration - Advanced cryptographic identity and decentralized storage protocols
- π± AI-Powered Autonomy - Self-optimizing algorithms and emergent intelligence patterns
- β‘ Energy Optimization - PowerState-aware algorithms and low-power computing innovations
- Seigr-Native: Complete Seigr implementation with comprehensive self-contained functionality
- Senary-First: All implementations use base-6 optimization for natural computation alignment
- Energy-Aware: Every operation considers PowerState and energy efficiency for sustainable computing
- Protocol-Compliant: Strict adherence to Seigr alerting and temporal protocols with complete integrity
- Clean Architecture: Enhanced development approach - improvements integrated into main implementations
- First Version Excellence: Focused development with solid versioning - building strong foundations
- Test-Driven: Comprehensive test coverage with integration, concurrent, and resilience validation
- Biomimetic: Architecture inspired by natural systems (mycelial networks, cellular structures)
π Join us here: Seigr GitHub
- HyphaCrypt - Complete cryptographic autonomy achieved with Seigr-native implementation
- SeigrTimestamp Integration - Modern temporal substrate with energy-efficient senary representation
- Protocol-Compliant Logging - Enhanced Seigr-native logging with 6-level alerting (UNDEFINED, INFO, WARNING, ERROR, CRITICAL, FATAL)
- Ecosystem-Wide Naming Consistency - Corrected naming conventions throughout codebase (HyphaCrypt, proper first-version development)
- Import Architecture Resolution - Enhanced import management with improved development workflow
- Datetime Modernization - Replaced all deprecated datetime.utcnow() calls with Seigr-native implementations
- IPFS Dual-Native Integration - Complete Seigr-IPFS gateway with lineage continuity and intelligent scaling
- dot_seigr Senary Migration - File system fully optimized for base-6 operations
- Test Infrastructure - Robust testing framework with comprehensive integration tests
- Circular Import Resolution - Clean architectural patterns with lazy loading mechanisms
- Emergent Intelligence Expansion - Advanced AI cognition patterns with mycelial decision networks
- Network Resilience Optimization - Enhanced IPFS dual-native scaling and automatic failover
- Energy Harvesting Integration - Renewable computing paradigms with PowerState adaptation
- Biomimetic Algorithm Development - Nature-inspired computational patterns for self-organization
- Cross-Network Lineage Verification - Advanced cryptographic integrity across distributed systems
Your sponsorship accelerates Seigrβs evolution toward autonomous, sustainable intelligence.
Seigr is licensed under:
- MIT License β Open collaboration & flexibility.
- Provisional Rebel Earthling (RE) License β Prioritizing eco-conscious AI.
π Read the LICENSE for details.
Seigr is more than softwareβitβs a movement toward resilient, transparent, and AI-empowered computing.
ππ Seigr: Computing as Nature Intended.