What problem does it solve? Building and deploying AI agents that stream responses to user interfaces requires bridging agent frameworks like LangGraph or LangChain with a standardized event protocol, plus handling server deployment, session persistence, and client connectivity. This Skill provides the complete workflow for deploying AG-UI compatible agents on Tencent CloudBase. ## Core Features & Use Cases - Agent Server Deployment: Expose agents as HTTP endpoints with SSE streaming using @cloudbase/agent-server, deployed via the manageAgent MCP tool on Node.js 20 runtime. - Framework Adapters: Wrap LangGraph StateGraph workflows or LangChain agents as AG-UI compatible agents, with CloudBaseSaver checkpointers for multi-tenant session persistence. - UI Client Integration: Connect web apps via @ag-ui/client or WeChat Mini Programs via @cloudbase/agent-ui-miniprogram, including client-side tool execution. - Use Case: Build a WeChat Mini Program chatbot backed by a LangGraph agent deployed on CloudBase, where the agent can invoke client-side tools like showing toasts or navigating pages. ## Quick Start Deploy a LangGraph agent to CloudBase by installing @cloudbase/agent-server and @cloudbase/agent-adapter-langgraph with @latest tags, then use the manageAgent MCP tool with Nodejs20.19 runtime.