agent-steps is a Python step orchestration framework designed to streamline the development of AI agents by breaking complex tasks into discrete, reusable steps. Each step encapsulates a specific action—such as invoking a language model, performing data transformations, or external API calls—and can pass context to subsequent steps. The library supports synchronous and asynchronous execution, enabling scalable pipelines. Built-in logging and debugging utilities provide transparency into step execution, while its modular architecture promotes maintainability. Users can define custom step types, chain them into workflows, and integrate them easily into existing Python applications. agent-steps is suitable for building chatbots, automated data pipelines, decision support systems, and other multi-step AI-driven solutions.

Avaamo Agent Assist is an advanced AI-powered contact center agent assistant that delivers real-time support for agents in call centers. It facilitates live call transcription, generates automatic response suggestions, and integrates seamlessly with customer relationship management (CRM) systems and knowledge bases. Avaamo's real-time analysis capability ensures agents receive contextually relevant information, boosting productivity and accuracy. The tool also includes summarization features, automation of backend tasks, real-time translation capabilities, and extensive call tagging options, making it a comprehensive solution for modern contact centers.

Deepdesk is an AI customer support automation platform designed to streamline communication processes in contact centers. It helps agents by understanding conversations and automating repetitive procedures, thus enabling them to focus on complex customer issues. By integrating advanced natural language processing, Deepdesk enhances the quality of support services, allowing companies to improve customer satisfaction while reducing operational costs. Its omnichannel capabilities cater to various communication platforms, ensuring a seamless experience for both agents and customers.