Autonomous and intelligent AI systems designed to independently plan, coordinate, and execute complex tasks. These agents leverage advanced models and frameworks to analyze data, make decisions, and perform actions across diverse applications such as productivity, customer support, or operational management.

AI agents designed to assist developers in coding tasks. These agents can provide intelligent code suggestions, identify and fix bugs, automate repetitive coding tasks, and help developers follow best practices to write efficient and maintainable code.

AI agents that streamline and automate repetitive tasks across various domains, including business processes, IT management, and personal workflows. These agents help reduce manual effort, improve efficiency, and enhance productivity by handling tasks such as scheduling, data entry, and notifications.

AI agents that focus on processing and analyzing large datasets to extract valuable insights. These agents can perform statistical analysis, identify trends, visualize data, and generate reports, helping organizations make informed, data-driven decisions.

Agents and frameworks provide the underlying structures and tools for developing and deploying AI models and applications. These frameworks enable developers to build, train, and optimize machine learning models more efficiently, offering pre-built components for tasks like data processing, model training, and deployment.