MongoDB has launched Atlas Agent Engine, a product for deploying AI agents in production. Available in public preview, it is aimed at customers already using MongoDB Atlas.
The software combines execution, memory and governance in a single layer to address a common challenge: moving AI agents from pilot projects into day-to-day use. It is designed to work with existing models and frameworks rather than requiring a separate technology stack.
Atlas Agent Engine launches alongside MongoDB 9.0 and Atlas Infinite, which MongoDB presented as related parts of its broader data and AI offering. The company said Atlas Agent Engine sits on top of those services and uses Voyage AI models for embeddings and retrieval.
The product uses consumption-based pricing for Atlas Agent Runtime and Atlas Agent Memory. Usage can be applied against existing Atlas commitments, allowing customers to adopt the software through infrastructure they already have in place.
MongoDB cited several early users and evaluators, including Australian mortgage and fintech group Lendi Group and payments company Paysafe.
"Designing marketing collateral for our retail locations is a manual process today, and it's one we think is well suited for agent-assisted support. We're evaluating MongoDB Atlas Agent Engine's ability to handle the complex, long-running, non-deterministic tasks like managing image layers and in-image compliance that our current agent platform struggles with. We see real potential to close that gap while bringing far more efficiency to how we produce marketing materials across our retail network," said Devesh Maheshwari, CTO, Lendi Group.
Paysafe highlighted a different use case focused on payments monitoring and analyst workflows.
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