AI Agent Layer is designed to integrate and manage AI agents effectively. Users can easily connect various AI models and agents, use predefined APIs, and customize how these models interact within their applications. This tool is perfect for developers looking to streamline their AI workflows and improve efficiency through automation and collaborative AI functionalities.

Deerflow provides a visual interface where users can assemble AI workflows from modular components—input processors, LLM or model executors, conditional logic, and output handlers. Out of the box connectors allow you to pull data from databases, APIs, or document stores, then pass results through one or more AI models in sequence. Built-in tools handle logging, error recovery, and metric tracking. Once configured, workflows can be tested interactively and deployed as REST endpoints or event-driven triggers. A dashboard gives real-time insights, version history, alerts, and team collaboration features, making it simple to iterate, scale, and maintain AI agents in production.