The MongoDB Atlas Agent Engine is the enterprise-grade platform for developing, deploying, and managing the full lifecycle of AI agents. The Atlas Agent Engine replaces the need for multiple vendors such as vector databases, orchestration platforms, runtime, and synchronization pipelines. Sandboxing and agent identity management are built into the platform so that regulated workloads stay isolated and auditable on every run. You can apply the full stack or one layer of the platform, and you can run on your Atlas clusters.
Important
Public Preview Limitations
The MongoDB Atlas Agent Engine is in Public Preview. MongoDB does not recommend that you run production workloads on the platform, and does not provide service-level agreements (SLAs) or service-level objectives (SLOs) for platform availability during Public Preview.
To review all limitations that apply during Public Preview, see Limitations.
How the Atlas Agent Engine is Unique
Open and flexible: Deploy any model or framework across any cloud or on-premises environment. Build with open-source frameworks like LangGraph while MongoDB handles scaling, provisioning, state management, and operational complexity.
Strong security, governance, and isolation at scale: Observe, govern, and sandbox agentic workflows with complete visibility and cost controls. Maintain compliance with GDPR, SOC 2, HIPAA, and industry-specific requirements.
Advanced Agentic Memory and State for more efficient and accurate agents: Automatically manage session state and long-term memory by using integrated vector storage by MongoDB.
Designed for enterprise integration: Connect legacy and third-party tools by using open standards and real-time vector indexing.
Important
Public Preview Limitations
The MongoDB Atlas Agent Engine is in Public Preview. MongoDB does not recommend that you run production workloads on the platform, and does not provide service-level agreements (SLAs) or service-level objectives (SLOs) for platform availability during Public Preview.
To review all limitations that apply during Public Preview, see Limitations.
Start Building
You can use the following resources to start building with the MongoDB Atlas Agent Engine:
Get Started Tutorial
Learn how to create and deploy a Hello World agent on the Atlas Agent Engine.
Migrate an Existing Agent
Learn how to run an existing agent on the platform.
Add Memory to Your Agent
Enable and configure memory to give your agent long-term context.
Limitations
Review the scaling, build, and API stability limitations that apply during Public Preview in the Limitations section.
Responsibilities
Atlas Agent Engine users are responsible for the behavior and actions of their agents. Users are responsible for ensuring that their agents comply with MongoDB's Acceptable Use Policy and Terms of Service. Use the Agent Engine Policy Engine to manage and control agent execution.