Cloudflare Agents
Build autonomous AI agents on Cloudflare's scalable platform
What is Cloudflare Agents? Complete Overview
Cloudflare Agents is a platform designed for building and deploying agentic AI systems that go beyond traditional generative models. These autonomous agents can plan, reason, and interact with their environment to achieve complex objectives. The platform combines Cloudflare's serverless infrastructure with durable execution capabilities, making it ideal for developers and enterprises looking to create intelligent, goal-directed applications. Key features include integration with large language models (LLMs), state management through Durable Objects, and flexible pricing that scales with usage. Cloudflare Agents is particularly suited for use cases requiring autonomous decision-making, such as workflow automation, customer support, and complex problem-solving scenarios.
Cloudflare Agents Interface & Screenshots
Cloudflare Agents Official screenshot of the tool interface
What Can Cloudflare Agents Do? Key Features
Agentic AI Framework
Provides a complete framework for building autonomous agents that can plan, reason, and execute tasks. Unlike standard generative AI, these agents can maintain state, adapt to changing conditions, and interact with external systems through structured APIs.
Durable Execution
Ensures reliable execution of long-running agent processes through Cloudflare's Durable Objects and Workflows. Agents can maintain state across sessions and resume operations after interruptions, critical for complex, multi-step tasks.
Serverless Inference
Integrates with Workers AI for running LLMs directly on Cloudflare's global network, or connects to external providers via AI Gateway. This allows agents to leverage powerful language models without managing infrastructure.
Cost-Efficient Scaling
Unique pricing model charges only for actual CPU time used, not wall-clock time. This is particularly valuable for agentic workloads that may spend significant time waiting on external resources or user input.
WebSocket Hibernation
Specialized feature for agent communication that maintains WebSocket connections while allowing Durable Objects to hibernate during inactivity, significantly reducing costs for always-available agents.
Integrated Tool Ecosystem
Provides built-in access to tools for API integration, data manipulation, browser rendering, and vector search (through Vectorize). Agents can leverage these tools to interact with external systems and perform complex operations.
Best Cloudflare Agents Use Cases & Applications
Developer Workflow Automation
Agents can automate GitHub workflows, such as reviewing assigned issues, implementing fixes, and opening pull requests. The example shows an agent guiding through issue implementation by gathering repository details and programming language information.
Team Decision Support
The LunchAgent example demonstrates how agents can facilitate group decisions by collecting votes, processing preferences, and delivering engaging results. This pattern applies to various collaborative decision-making scenarios.
Customer Support Automation
Agents can handle complex customer service interactions by understanding requests, accessing relevant information, and taking appropriate actions while maintaining conversation state across multiple touchpoints.
Business Process Automation
Agents can orchestrate multi-step business processes that involve human input, API calls, and decision points, such as order processing, inventory management, or approval workflows.
How to Use Cloudflare Agents: Step-by-Step Guide
Install the Cloudflare Agents SDK using npm (npm i agents) and set up your development environment with the necessary Cloudflare products like Workers, Durable Objects, and AI services.
Define your agent's behavior by extending the base Agent class, specifying its state structure, and implementing methods for its core functionality. The example shows a LunchAgent that handles restaurant selection and voting.
Configure your agent's interaction points - how it receives input (email, chat, voice), how it processes information (through LLMs), and what actions it can take (API calls, data manipulation).
Deploy your agent to Cloudflare's global network where it can leverage the platform's serverless execution, durable state management, and AI capabilities.
Monitor and iterate on your agent's performance, taking advantage of Cloudflare's scaling capabilities to handle varying workloads efficiently.
Cloudflare Agents Pros and Cons: Honest Review
Pros
Considerations
Is Cloudflare Agents Worth It? FAQ & Reviews
Agentic AI goes beyond passive response generation to include autonomy, goal-directed reasoning, and adaptive decision-making. While generative AI produces content based on prompts, agentic AI actively plans, iterates, and interacts with its environment to achieve objectives.
Cloudflare charges only for actual CPU time used rather than wall-clock time, which is crucial for agents that may spend significant time waiting on external resources or user input. This can result in substantial cost savings compared to traditional cloud pricing models.
Yes, you can either host an LLM directly on Cloudflare using Workers AI or connect to external providers through AI Gateway. The platform gives you flexibility in choosing the best LLM for your agent's needs.
Cloudflare's Durable Objects provide persistent storage that maintains your agent's state across executions. This allows agents to remember context, track progress on long-running tasks, and resume operations after interruptions.
The primary development is done in JavaScript/TypeScript as shown in the examples, leveraging Cloudflare's Workers platform. However, you can integrate with other languages through API calls and external services.