Mastra provides a visual interface for designing, testing, and deploying AI agents without writing code. Users can drag and drop nodes to create multi-step workflows that integrate language models, computer vision, and custom scripts. Data connectors allow seamless retrieval from databases, CRMs, or web services, while built-in analytics track agent performance. Teams can collaborate in real time, version control workflows, and roll back changes. Once tested, agents can be deployed with a single click to web chat widgets, messaging apps, or REST APIs. Monitoring dashboards surface usage metrics, error alerts, and optimization suggestions to maintain and improve agent effectiveness over time.

Suna enables organizations to build end-to-end AI agents that handle repetitive tasks, connect with APIs, and orchestrate multi-step workflows. Through a drag-and-drop interface, users can define trigger events, map data flows, and integrate third-party services such as CRM, email, and databases. The platform leverages large language models to provide natural language understanding and decision-making capabilities within each agent. With built-in monitoring, logging, and alerting, teams can track agent performance and optimize workflows in real time. Suna also offers version control, collaboration features, and secure deployment options, ensuring scalability and governance. From customer support automation to data extraction and report generation, Suna empowers businesses to automate operations at scale.