Build stateful AI agents on Cloudflare Workers using the Agents SDK.
npx skills add https://github.com/tokisakiyuu/dotfiles --skill agents-sdk-tokisakiyuu
Please help me install this Agent Skill. Skill: agents-sdk Source: https://github.com/tokisakiyuu/dotfiles/tree/main/home/dot_claude/skills/agents-sdk Command: npx skills add https://github.com/tokisakiyuu/dotfiles --skill agents-sdk-tokisakiyuu
@callable RPC methods, scheduling, queues, retries, and durable execution via runFiber. - Chat & Streaming: Build streaming chat agents with AIChatAgent, resumable streams, tool calling, human-in-the-loop approvals, and React hooks (useAgent, useAgentChat). - Integrations: Connect to or build MCP servers, handle email routing, webhooks, push notifications, Workflows for long-running tasks, plus experimental voice, browser automation, and Think agents. - Use Case: Build a customer support chat agent that persists conversation history, schedules follow-up reminders, calls MCP tools, and streams responses to a React frontend — all deployed as a Cloudflare Worker with Durable Objects. ## Quick Start Ask the AI to create a Cloudflare Workers agent using the Agents SDK with a Counter class that has callable increment and decrement methods.High-intent search queries and answers about installing and using this skill.
Install the agents package, extend the Agent class with typed state, and route requests with routeAgentRequest. Configure a Durable Objects binding and a new_sqlite_classes migration in wrangler.jsonc, then deploy with Wrangler.
Extend AIChatAgent from @cloudflare/ai-chat and implement onChatMessage using streamText from the AI SDK. On the client, use useAgent and useAgentChat React hooks; resumable streaming and message persistence are enabled by default.
AIChatAgent requires you to write the streamText loop and wire tool execution yourself, giving full control. Think is a higher-level experimental class that handles the loop, tools, and persistence automatically, requiring only getModel and getSystemPrompt overrides.
Yes. Agents can connect to external MCP servers via addMcpServer with OAuth support, and you can build MCP servers using McpAgent served over Streamable HTTP, SSE, or RPC transports.
Enabling experimentalDecorators in tsconfig conflicts with the SDK's decorator implementation and breaks @callable methods. Extend the agents/tsconfig base configuration instead, which sets the correct compiler options.
Use the built-in queue for background tasks under 30 seconds with sequential FIFO processing. Use Workflows for long-running multi-step tasks, automatic retries, and human-in-the-loop approval flows that must survive failures.
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