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agents-sdk

Build persistent AI agents with state, RPC, and workflows on Cloudflare Workers.

2|Updated Apr 3, 2026
Search Tags:#cloudflare#state-management#websockets#edge-computing#agents-sdk#react-hooks#durable-workflows
One-click install
npx skills add https://github.com/ingbyr/lzcode --skill agents-sdk-ingbyr
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agents-sdk
Source: https://github.com/ingbyr/lzcode/tree/main/packages/opencode/test/fixture/skills/agents-sdk
Command: npx skills add https://github.com/ingbyr/lzcode --skill agents-sdk-ingbyr

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Builds persistent, edge-deployed AI agents with built-in state management, real-time communication, and orchestrated workflows on Cloudflare Workers, reducing the complexity of distributed agent systems.

Core Features & Use Cases

  • Agent class and state management: Define an agent with initial state, persistence across requests, and validation hooks to ensure data integrity.
  • Callable RPC and streaming: Expose methods over WebSocket for client-server interaction, including streaming responses.
  • Durable workflows and MCP integration: Compose multi-step background tasks and connect to MCP servers for broader integrations.
  • React hooks for client apps: Use hooks like useAgent and useAgentChat to embed agents into frontend apps.
  • Use cases: Real-time chat agents, edge-processed data workflows, scheduled tasks, and edge automation.

Quick Start

Create and deploy a simple agent with a stateful example that exposes a callable RPC.

Frequently Asked Questions about agents-sdk

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

FAQPage Schema
How do I build AI agents on Cloudflare Workers with state management?▼

You can build AI agents on Cloudflare Workers by using an Agent class that provides built-in state persistence across requests, validation hooks for data integrity, and callable RPC over WebSocket for client interaction. This reduces the complexity of distributed agent systems.

Can I stream responses from edge-deployed agents over WebSockets?▼

Yes, you can stream responses from edge-deployed agents over WebSockets by exposing callable RPC methods. The framework supports real-time client-server communication, enabling streaming responses directly to connected clients for interactive applications like real-time chat.

How do I add AI agents to a React frontend?▼

You can add AI agents to a React frontend by using built-in hooks like useAgent and useAgentChat. These hooks allow you to embed edge-deployed agents directly into client applications, handling the real-time WebSocket communication and state synchronization automatically.

Does Cloudflare Workers support durable workflows for background tasks?▼

Yes, Cloudflare Workers supports durable workflows for composing multi-step background tasks. The framework allows you to orchestrate scheduled tasks, edge-processed data workflows, and edge automation, ensuring persistent execution and state management across distributed operations.

What is the best way to connect edge agents to MCP servers?▼

The best way to connect edge agents to MCP servers is through the framework's built-in MCP integration. This enables broader integrations for your persistent, edge-deployed AI agents on Cloudflare Workers, allowing them to interact with external tools and data sources seamlessly.

When should I not use edge computing for stateful agent workflows?▼

You should reconsider edge computing for stateful agent workflows if your application requires heavy centralized database transactions or lacks tolerance for eventual consistency. Edge agents excel at real-time chat, data processing, and scheduled tasks but may not suit strictly synchronous monolithic architectures.

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