Building an AI agent with Azure Cosmos DB is easy to demonstrate. Building the secure, observable, and deployable application around that agent is the difficult part.
A real customer-facing agent needs more than a prompt and a model endpoint. It needs durable memory, tenant isolation, authentication, citations, diagnostics, tests, deployment infrastructure, and a safe way to move from a local prototype to production.
I wanted to see how much of that work could be removed from the critical path, so I tried the create-cosmos-agent starter from beginning to end. I generated a customer-support agent, ran it against the Azure Cosmos DB Linux emulator, stored a customer preference, retrieved it through the chat experience, verified user isolation, inspected diagnostics, and ran the complete validation suite.
The result was a working full-stack application without an Azure subscription, model API key, or cloud resource.
create-cosmos-agent generates a React and TypeScript agent application with memory, tenant isolation, citations, diagnostics, tests, and Azure infrastructure. The default local path needs no Azure subscription or model key; choose the Cosmos DB emulator when you want durable local data.
