building-ai-agent-on-cloudflare

To build stateful AI agents on Cloudflare Workers, use the Agents SDK to automatically manage persistent state across sessions with Durable Objects and embedded SQLite, enabling reliable chat and background tasks.

Yes, real-time chat with Cloudflare AI agents uses WebSockets for low-latency communication and event streaming. The Agents SDK supports WebSocket-based interactions directly on the edge for stateful assistant workflows.

RAG with Cloudflare Vectorize and Workers AI enables advanced orchestration by retrieving external context for your agents. This integration supports tool calling and multi-agent workflows for complex, knowledge-augmented tasks.

The best way to manage persistent state in serverless AI applications is using Durable Objects with embedded SQLite. This approach automatically maintains agent state across sessions without manual database management on serverless infrastructure.

Yes, Durable Objects are required to run scheduled background tasks on the edge. They provide the persistent state management needed to facilitate reliable, stateful background workflows alongside your real-time AI agents.

To quickly initialize a new Cloudflare AI agent project, run the create cloudflare command with the agents-starter template. This sets up your project directory with the necessary Workers AI and Vectorize configurations for edge deployment.