SquadflowAI Studio allows users to visually compose AI agents by defining roles, tasks, and inter-agent communications. Agents can be chained to handle complex multi-step processes—querying databases or APIs, performing actions, and passing context among one another. The platform supports plugin extensions, real-time debugging, and step-by-step logs. Developers configure prompts, manage memory states, and set conditional logic without boilerplate code. Models from OpenAI, Anthropic, and local LLMs are supported. Teams can deploy workflows via REST or WebSocket endpoints, monitor performance metrics, and adjust agent behaviors through a centralized dashboard.

Egg AI empowers organizations to create bespoke AI agents tailored to specific business needs, such as customer support, sales engagement, and internal knowledge retrieval. Through a drag-and-drop interface, users define conversational logic, incorporate conditional branching, and integrate with RESTful APIs, databases, and third-party services like Slack or Zendesk. The platform supports memory modules for user context retention, enabling personalized and coherent dialogues. Agents can be deployed on websites, messaging platforms, or embedded in mobile and desktop applications. Robust testing tools and real-time monitoring facilitate iterative improvements, while enterprise-grade security and access controls ensure data privacy and compliance. With automatic scaling, Egg AI agents handle varying workloads seamlessly, reducing manual intervention and accelerating time-to-market.