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AGENT is a project focusing on the use of agent-based environments in artificial intelligence. The project aims to define a general model of an agent that can interact with its environment and make decisions based on various external factors. The documentation outlines various algorithms that can be employed within this model to enhance the efficiency and decision-making capabilities of the agent. A key aspect of the project is its flexibility, allowing users to customize the agent to meet their specific needs and use cases. AGENT also promotes best practices in agent development, making it useful for both novice and advanced programmers. Ultimately, the goal of the project is to create applications that can be integrated with various external systems, enabling agents to facilitate interaction with users and automate many processes.