# Cloudflare Agents

> Build and deploy AI agents on Cloudflare's global network with built-in state management, real-time communication, and seamless tool integration.

Cloudflare Agents provides a comprehensive platform for building, deploying, and scaling AI agents on Cloudflare's global edge network. The platform combines Cloudflare Workers with Durable Objects to enable stateful, long-running AI agents that can maintain context, communicate in real-time, and integrate with external tools and APIs.

- **Stateful Agent Architecture** uses Durable Objects to maintain persistent state across interactions, allowing agents to remember context, track conversations, and manage complex multi-step workflows without external databases.

- **Real-time Communication** supports WebSocket connections for bidirectional streaming, enabling agents to push updates, handle interruptions, and maintain live conversations with users.

- **Tool Integration** allows agents to call external APIs, execute functions, and interact with databases through a flexible tool-calling system that supports both synchronous and asynchronous operations.

- **Human-in-the-Loop Support** enables agents to pause execution and wait for human approval or input before proceeding with sensitive operations, providing control over automated workflows.

- **Scheduled Tasks** lets agents schedule future actions using built-in cron-like functionality, enabling autonomous background processing and time-based triggers.

- **Model Context Protocol (MCP)** integration allows agents to connect to MCP servers for extended capabilities, accessing additional tools and data sources through a standardized protocol.

- **Multi-Model Support** works with various AI providers including OpenAI, Anthropic, Google AI, and others through the AI SDK, giving developers flexibility in choosing their preferred language models.

- **Browser Rendering** provides headless browser capabilities for agents that need to interact with web pages, scrape content, or automate browser-based tasks.

To get started, developers install the Agents SDK via npm and create a new agent class extending the base Agent class. The platform handles deployment, scaling, and state management automatically. Agents can be tested locally using Wrangler and deployed globally with a single command. The SDK provides TypeScript support with full type safety for agent state, tools, and message handling.

## Features
- Stateful AI agents with Durable Objects
- Real-time WebSocket communication
- Tool calling and function execution
- Human-in-the-loop workflows
- Scheduled tasks and cron triggers
- Model Context Protocol (MCP) support
- Multi-model AI provider support
- Browser rendering capabilities
- Persistent agent memory
- Global edge deployment
- TypeScript SDK
- Local development with Wrangler

## Integrations
OpenAI, Anthropic, Google AI, Cloudflare Workers AI, Cloudflare D1, Cloudflare R2, Cloudflare KV, Cloudflare Vectorize, MCP Servers

## Platforms
WEB, API, DEVELOPER_SDK

## Pricing
Freemium — Free tier available with paid upgrades

## Links
- Website: https://agents.cloudflare.com/
- Documentation: https://developers.cloudflare.com/agents/
- Repository: https://github.com/cloudflare/agents
- EveryDev.ai: https://www.everydev.ai/tools/cloudflare-agents