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.

JKStack Agents Server serves as a centralized orchestration layer for AI agent deployments. It offers REST endpoints to define namespaces, register new agents, and initiate agent runs with custom prompts, memory settings, and tool configurations. For real-time interactions, the server supports WebSocket streaming, sending partial outputs as they are generated by underlying language models. Developers can extend core functionalities through a plugin manager to integrate custom tools, LLM providers, and vector stores. The server also tracks run histories, statuses, and logs, enabling observability and debugging. With built-in support for asynchronous processing and horizontal scaling, JKStack Agents Server simplifies deploying robust AI-powered workflows in production.