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 support research activities by gathering relevant information, analyzing data, summarizing findings, and even generating hypotheses. These agents assist in academic research, market analysis, scientific studies, and more, helping researchers to save time and focus on critical aspects of their work.

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.

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.

Agents focused on managing and integrating data from diverse sources, enhancing data quality and workflow automation.