Cloudflare Agents The Platform For Building Agents

What is Cloudflare Agents?

Cloudflare Agents is a comprehensive platform designed for building sophisticated AI agents. It enables the development of agentic AI, which surpasses traditional generative AI by incorporating autonomy, goal-directed reasoning, and adaptive decision-making. This allows agents to actively plan, iterate, and interact with their environment to accomplish complex tasks, rather than just passively responding to prompts.

The platform leverages Cloudflare's extensive product suite, offering tools for every stage of agent development. Developers can manage user input through various channels, connect to Large Language Models (LLMs) via Workers AI or AI Gateway, ensure reliable task execution using Durable Objects and Workflows, and equip agents with tools to interact with APIs and external systems. Cloudflare Agents emphasizes cost-efficiency with pay-per-use pricing based on CPU time and features like WebSocket hibernation.

Features

Agentic AI Development: Build agents capable of autonomous planning, reasoning, and decision-making.
Integrated Cloudflare Suite: Utilize Workers AI, AI Gateway, Durable Objects, Workflows, Vectorize, and more within one platform.
Durable Execution Engine: Combine state management (Durable Objects) and compute (Workflows) for reliable agent actions.
Serverless LLM Inference: Run Large Language Models directly on Cloudflare with Workers AI or connect to external providers via AI Gateway.
Flexible Input Handling: Accept user input through Email Workers, WebSockets, Pages, or Cloudflare Calls.
Tool Integration: Equip agents with tools to invoke APIs (MCP servers), render web pages, manage vector embeddings (Vectorize), and access databases (D1).
Cost-Optimized Pricing: Pay only for CPU time used (not wall clock time) and benefit from features like WebSocket hibernation for savings.

Use Cases

Developing autonomous AI agents for complex task completion.
Building goal-oriented AI systems that can plan and iterate.
Creating interactive AI applications that adapt to environmental changes.
Implementing AI workflows requiring state management and external tool integration.
Automating processes involving user interaction, data processing, and API calls.
Building collaborative AI tools for teams.

FAQs

What is agentic AI?

Agentic AI integrates autonomy, goal-directed reasoning, and adaptive decision-making, allowing it to actively plan, iterate, and interact with its environment to achieve complex objectives, unlike standard generative models that passively respond to prompts.
How does Cloudflare Agents handle cost optimization?

Cloudflare Agents utilizes a pay-per-use model based on CPU time rather than wall clock time, meaning you only pay for active computation. It also features WebSocket hibernation, which shuts down inactive Durable Objects while maintaining connections, further reducing costs.
What Cloudflare products are used within the Agents platform?

The platform integrates various Cloudflare products including Email Workers, WebSockets, Pages, Calls for input; Workers AI and AI Gateway for LLM interaction; Durable Objects and Workflows for execution; and tools like MCP servers, Browser Rendering, Vectorize, and D1 for actions.