agents starter
Basic Information
This repository is a starter template for developers to build AI-powered chat agents on Cloudflare's Agents platform. It provides a ready-made project scaffold combining a React-based chat UI and server-side agent logic intended to run on Cloudflare Workers. The kit is built around the agents package and integrates an AI model provider by default, with examples using OpenAI via the ai-sdk. It includes examples and guidance for adding tools, handling tool confirmations, scheduling tasks, and swapping AI providers. The repo is intended for developers who need a foundation to implement interactive chat experiences, integrate custom tools and external APIs, and deploy agents to Cloudflare with simple local development and deployment commands.
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App Details
Features
The README documents built-in features including an interactive chat interface, a tool system with human-in-the-loop confirmation, and advanced task scheduling supporting one-time, delayed, and cron-based recurring tasks. It supports real-time streaming responses, state management and chat history, dark and light themes, and a modern responsive UI. The project structure exposes app.tsx for the UI, server.ts for agent logic, tools.ts for tool definitions, utils.ts for helpers, and styles.css for theming. Examples show how to define auto-executing and confirmation-required tools, wire execution handlers, and configure alternative AI providers and Cloudflare Workers AI bindings.
Use Cases
This starter kit accelerates development of production-ready chat agents by providing a tested foundation, reusable patterns, and example implementations. It reduces boilerplate for connecting an AI provider, defining tools, and implementing scheduling and confirmation workflows. Developers can quickly prototype use cases such as customer support, development assistants, data analysis helpers, productivity bots, and scheduling agents by adding tools and UI customizations. The README includes quick start commands for creating the project, installing dependencies, setting an OpenAI API key, running locally, and deploying to Cloudflare, plus guidance for replacing the AI provider and customizing the UI and tool behaviors.
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