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.

AnYi AI Agent Framework helps developers integrate autonomous AI agents into their applications. Agents can plan and execute multi-step tasks, leverage external tools and APIs, and maintain conversation context through configurable memory modules. The framework abstracts interactions with various LLM providers and supports custom tool and memory backends. With built-in logging, monitoring, and asynchronous execution, AnYi accelerates deployment of intelligent assistants for research, customer support, data analysis, or any workflow requiring automated reasoning and action.