Dynamic Context Modeling

modular agent framework the modular agent framework provides the foundation for creating and customizing intelligent agents key features include 	• plug and play modules modular components such as cognition, communication, memory, and action are easily integrated to enhance agent capabilities 	• specialized knowledge bases developers can define unique knowledge bases tailored to specific use cases, enabling agents to specialize in tasks like ui/ux design, backend development, or testing 	• agent interoperability the framework facilitates seamless collaboration between agents, ensuring they work in concert to achieve complex goals 	• flexible customization developers can modify agent functionalities, defining distinct roles and optimizing behavior for specific applications technology stack eruptai employs a high performance technology stack to deliver scalability, security, and efficiency • rust & webassembly performance critical components are implemented in rust and webassembly to maximize speed and reliability • typescript api layers and platform interactions are built with typescript, ensuring developer friendly and scalable integrations • blockchain connectors while decentralized technologies like solana or arbitrum are not part of the current system, the architecture is designed to integrate with secure and scalable off chain connectors in future iterations to ensure robust data management