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Simulates a Multi-Context Processing (MCP) system for efficient data handling across multiple contexts.
About
This project simulates a Multi-Context Processing (MCP) system designed to efficiently manage and process multiple contexts. It provides a robust architecture suitable for complex data processing tasks, emphasizing scalability and maintainability through a modular design and database integration for persistent storage. The system allows for the simultaneous management of multiple data contexts, offering a clear separation of concerns and efficient data persistence.
Key Features
- Database integration for persistent storage
- Video demonstration available
- Modular architecture for easy extension
- 1 GitHub stars
- Multi-context data processing
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