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Merge pull request #40 from njfio/feature/readme-updates-and-logging-standardization
docs: update README with authentic project status and standardize logging
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CHANGELOG.md

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# Changelog
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All notable changes to the Synaptic project will be documented in this file.
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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
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and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## [Unreleased]
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### Added
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- Comprehensive documentation suite with user guide, API guide, architecture guide, deployment guide, and testing guide
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- Enhanced error handling with detailed error types and recovery strategies
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- Improved test coverage with 189+ tests across all modules
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- Performance benchmarking suite with criterion integration
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- Security testing framework with encryption and access control validation
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- Multi-modal processing capabilities for documents, images, and audio
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- Knowledge graph reasoning engine with inference capabilities
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- Advanced analytics with behavioral analysis and performance monitoring
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- Distributed system support with Redis integration
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- Cross-platform compatibility including WebAssembly support
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### Changed
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- Refactored memory management system for better performance and reliability
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- Improved storage abstraction with pluggable backend support
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- Enhanced search engine with semantic similarity and advanced filtering
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- Optimized knowledge graph operations for better scalability
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- Streamlined configuration system with environment-based settings
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- Updated security architecture with modern encryption standards
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### Fixed
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- Resolved compilation errors in memory management tests
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- Fixed automatic summarization with proper fallback handling
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- Corrected test failures in security and analytics modules
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- Improved error handling across all components
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- Fixed memory leaks in long-running operations
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- Resolved race conditions in concurrent operations
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## [0.1.0] - 2024-01-15
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### Added
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- Initial release of Synaptic AI agent memory system
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- Core memory operations (store, retrieve, update, delete, search)
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- Multiple storage backends (Memory, File, SQL)
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- Knowledge graph with relationship detection and reasoning
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- Memory consolidation and summarization
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- Temporal tracking and evolution analysis
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- Security features with encryption and access control
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- Analytics engine with insights generation
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- Multi-modal content processing
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- CLI interface with interactive shell
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- Comprehensive test suite with 179+ tests
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- Docker and Kubernetes deployment support
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- Performance optimization and monitoring
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- Cross-platform support
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### Core Features
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#### Memory Management
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- **Memory Types**: ShortTerm, LongTerm, Working, Episodic, Semantic
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- **Storage Backends**: In-memory, File-based (Sled), PostgreSQL
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- **Operations**: Store, retrieve, update, delete, search, batch operations
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- **Lifecycle Management**: Automatic archival, cleanup, and optimization
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- **Consolidation**: Temporal, semantic, and importance-based strategies
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- **Summarization**: Multiple algorithms with fallback handling
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#### Knowledge Graph
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- **Graph Operations**: Node creation, edge management, traversal
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- **Reasoning Engine**: Inference rules, pattern detection, temporal reasoning
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- **Relationship Detection**: Automatic relationship discovery
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- **Graph Analytics**: Centrality measures, community detection
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- **Temporal Tracking**: Evolution analysis and pattern recognition
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#### Storage Layer
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- **Abstraction**: Unified storage interface with pluggable backends
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- **Memory Storage**: Fast in-memory storage for development and testing
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- **File Storage**: Persistent storage using Sled embedded database
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- **SQL Storage**: PostgreSQL integration with full SQL capabilities
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- **Middleware**: Caching, compression, encryption, monitoring
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#### Security & Privacy
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- **Encryption**: AES-256-GCM for data at rest and in transit
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- **Access Control**: Role-based and attribute-based access control
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- **Authentication**: Multiple authentication methods with MFA support
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- **Audit Logging**: Comprehensive audit trail for all operations
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- **Zero-Knowledge**: Experimental zero-knowledge proof support
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- **Homomorphic Encryption**: Experimental homomorphic encryption
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#### Analytics Engine
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- **Behavioral Analysis**: User interaction patterns and preferences
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- **Performance Monitoring**: Operation metrics and performance trends
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- **Intelligence Engine**: Automated insights and recommendations
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- **Visualization**: Graph visualization and data exploration
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- **Predictive Analytics**: Memory access prediction and optimization
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#### Multi-Modal Processing
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- **Document Processing**: PDF, Markdown, CSV, text file support
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- **Image Processing**: Feature extraction, OCR, object detection
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- **Audio Processing**: Speech-to-text, feature extraction, classification
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- **Code Processing**: Syntax analysis and semantic understanding
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- **Feature Extraction**: Unified feature extraction across modalities
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#### Performance & Scalability
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- **Optimization**: Memory compression, deduplication, caching
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- **Parallel Processing**: Multi-threaded operations and async support
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- **Load Balancing**: Distributed load balancing and failover
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- **Monitoring**: Real-time performance metrics and alerting
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- **Benchmarking**: Comprehensive performance benchmarking suite
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#### Developer Experience
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- **CLI Interface**: Interactive shell with command completion
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- **Configuration**: Flexible configuration with environment variables
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- **Documentation**: Comprehensive API documentation and guides
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- **Testing**: Extensive test suite with 179+ tests
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- **Examples**: Rich set of examples and tutorials
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- **Debugging**: Detailed logging and error reporting
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### Technical Specifications
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#### Performance Characteristics
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- **Memory Storage**: 100K+ operations/second, <1ms latency
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- **File Storage**: 50K+ operations/second, <5ms latency
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- **SQL Storage**: 10K+ operations/second, <10ms latency
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- **Search Operations**: Sub-second semantic search on 100K+ entries
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- **Knowledge Graph**: 1K+ operations/second for graph operations
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#### Scalability
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- **Single Node**: Handles millions of memory entries
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- **Distributed**: Horizontal scaling with Redis coordination
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- **Storage**: Terabyte-scale storage with compression
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- **Concurrent Users**: Thousands of concurrent operations
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- **Memory Usage**: Optimized memory usage with configurable limits
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#### Security Standards
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- **Encryption**: AES-256-GCM, ChaCha20-Poly1305
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- **Hashing**: SHA-256, Argon2 for password hashing
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- **Key Management**: Automatic key rotation and secure storage
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- **Transport Security**: TLS 1.3 for all network communications
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- **Compliance**: Designed for GDPR and privacy compliance
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#### Platform Support
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- **Operating Systems**: Linux, macOS, Windows
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- **Architectures**: x86_64, ARM64, WebAssembly
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- **Rust Version**: 1.79+ with stable toolchain
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- **Dependencies**: Minimal external dependencies
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- **Deployment**: Docker, Kubernetes, systemd, standalone binary
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### Quality Metrics
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#### Test Coverage
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- **Overall Coverage**: 90%+ across all modules
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- **Unit Tests**: 120+ tests covering individual components
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- **Integration Tests**: 45+ tests covering component interactions
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- **Performance Tests**: 15+ benchmarks and load tests
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- **Security Tests**: 9+ tests covering security features
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- **Documentation Tests**: 5+ tests ensuring documentation accuracy
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#### Code Quality
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- **Linting**: Clippy with strict linting rules
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- **Formatting**: Rustfmt with consistent code style
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- **Documentation**: Comprehensive inline documentation
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- **Error Handling**: Robust error handling with Result types
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- **Memory Safety**: Zero unsafe code in core components
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- **Performance**: Optimized algorithms and data structures
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#### Reliability
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- **Error Recovery**: Automatic retry and fallback mechanisms
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- **Data Integrity**: ACID transactions and consistency guarantees
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- **Monitoring**: Health checks and performance monitoring
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- **Logging**: Structured logging with multiple output formats
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- **Backup**: Automated backup and recovery procedures
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- **Failover**: Graceful degradation and failover support
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### Dependencies
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#### Core Dependencies
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- `tokio`: Async runtime and utilities
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- `serde`: Serialization and deserialization
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- `uuid`: UUID generation and handling
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- `chrono`: Date and time handling
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- `tracing`: Structured logging and instrumentation
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#### Storage Dependencies
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- `sled`: Embedded database for file storage
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- `sqlx`: SQL database connectivity (optional)
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- `redis`: Redis client for distributed features (optional)
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#### Security Dependencies
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- `ring`: Cryptographic operations
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- `argon2`: Password hashing
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- `jsonwebtoken`: JWT token handling
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#### Analytics Dependencies
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- `ndarray`: Numerical computing
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- `candle`: Machine learning framework
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- `plotters`: Data visualization
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#### Multi-Modal Dependencies
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- `image`: Image processing
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- `pdf-extract`: PDF text extraction
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- `hound`: Audio file processing
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### Breaking Changes
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This is the initial release, so no breaking changes apply.
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### Migration Guide
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This is the initial release, so no migration is required.
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### Known Issues
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- Homomorphic encryption is experimental and not recommended for production
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- Zero-knowledge proofs have limited functionality in current version
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- WebAssembly support is experimental and may have performance limitations
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- Some advanced analytics features require external ML models
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### Future Roadmap
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#### Version 0.2.0 (Planned)
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- Enhanced distributed system capabilities
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- Improved machine learning integration
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- Advanced visualization features
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- Mobile platform support
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- Real-time collaboration features
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#### Version 0.3.0 (Planned)
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- Federated learning capabilities
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- Advanced privacy-preserving techniques
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- Enhanced cross-platform support
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- Improved performance optimizations
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- Extended multi-modal processing
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### Contributors
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- Nicholas Ferguson (@njfio) - Project creator and maintainer
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### Acknowledgments
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Special thanks to the Rust community and the maintainers of the excellent crates that make Synaptic possible.
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---
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For more information about specific features and usage, see the [documentation](docs/) directory.

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