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EverettField
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cloudbase-agent-ts

Deploy AI agents as HTTP services using the Cloudbase Agent TypeScript SDK.

2|Updated Apr 16, 2026
Search Tags:#typescript#ai#agents#adapters#cloudbase#agent-server
One-click install
npx skills add https://github.com/EverettField/MatchMate-MiniProgram --skill cloudbase-agent-ts-everettfield
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cloudbase-agent-ts
Source: https://github.com/EverettField/MatchMate-MiniProgram/tree/main/miniprogram-2/.codebuddy/skills/cloudbase-agent-ts
Command: npx skills add https://github.com/EverettField/MatchMate-MiniProgram --skill cloudbase-agent-ts-everettfield

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enables developers to build and deploy AI agents by using the Cloudbase Agent TypeScript SDK and AG-UI protocol, simplifying the creation of agent servers, adapters, and UI clients.

Core Features & Use Cases

  • Deploy AI agents as HTTP services using @cloudbase/agent-server with AG-UI protocol support.
  • Build adapters (LangGraph LangChain or custom) to run workflows and implement AbstractAgent.
  • Create UI clients for web and WeChat Mini Programs using UI libraries (@ag-ui/client, @cloudbase/agent-ui-miniprogram).

Quick Start

Install the Cloudbase Agent packages and start a minimal HTTP agent using a LangGraph or LangChain adapter.

Frequently Asked Questions about cloudbase-agent-ts

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I deploy an AI agent server using the Cloudbase Agent TypeScript SDK?▼

You deploy an AI agent server by installing @cloudbase/agent-server to expose your agent as an HTTP service with AG-UI protocol support. This Skill provides guidance for server setup and adapter integration in TypeScript.

What is the AG-UI protocol and how does it work with Cloudbase agents?▼

The AG-UI protocol standardizes communication between agent servers and UI clients. This Skill uses it to connect Cloudbase agents to web and WeChat Mini Program clients via pre-wired ClientStateAnnotation.

Can I use LangGraph or LangChain adapters with a Cloudbase agent server?▼

Yes, you can integrate LangGraph or LangChain adapters with a Cloudbase agent server. This Skill covers building these adapters to run workflows and implement the AbstractAgent interface in TypeScript.

How do I build a UI client for a WeChat Mini Program AI agent?▼

You build a WeChat Mini Program UI client by using the @cloudbase/agent-ui-miniprogram library. This Skill explains how to integrate UI tools and connect the client to your agent server using the AG-UI protocol.

Do I need TypeScript to build and deploy Cloudbase agents?▼

TypeScript is required to build and deploy Cloudbase agents using this Skill. It provides guidance for TypeScript-based server setup, adapter construction, and UI client implementation.

What is the best way to implement custom agent workflows when LangGraph adapters are insufficient?▼

The best way to implement custom workflows is to build a custom adapter and implement the AbstractAgent class. This Skill guides you through creating custom adapters to run specialized workflows alongside the Cloudbase Agent SDK.

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