Minimaxi Agent is a no-code AI agent builder designed for enterprises and teams to rapidly create, train, and deploy intelligent assistants. Users can upload documents, FAQs, or knowledge bases, configure retrieval-augmented generation to surface relevant answers, and customize conversation logic with a visual builder. Agents can be published to web widgets, Slack, Microsoft Teams, or embedded in internal tools. Real-time analytics let you monitor usage and accuracy, while role-based access controls ensure data security and compliance.

Java-Action-Web is an add-on library for the LightJason agent framework that embeds a minimal HTTP server to turn agent actions into web services. Each agent behavior can be annotated and exposed directly as a RESTful endpoint, supporting JSON payloads for input and output. It handles both synchronous and asynchronous action invocations, provides configurable routing, and allows optional middleware for authentication or logging. This enables external applications, dashboards, or devices to interact with agents via simple HTTP calls without custom adapters.