MongoDB Launches Atlas Agent Engine for Production AI Agents
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MongoDB, an artificial intelligence (AI) data platform company, has launched Atlas Agent Engine, an integrated execution, memory and governance layer for production AI agents. Atlas Agent Engine is a managed platform for building, deploying and running AI agents, with the platform handling execution, state and tool calls while developers write only the model and workflow. It supports the LangGraph software development kits (SDKs) for TypeScript and Python, as well as Google's Agent Development Kit (ADK) for Python, and integrates with MongoDB Atlas clusters and Voyage AI. It also provides project memory capabilities. MongoDB said accurate retrieval, persistent memory storage, and enterprise security and governance are essential for deploying AI in production. Without a single platform for these functions, engineering teams have to connect fragmented tools that can break compatibility whenever underlying models or frameworks change. The company said businesses implementing agentic AI environments are struggling to evaluate, integrate and manage information spread across multiple systems. MongoDB said Atlas Agent Engine can address those challenges as a single platform for memory and identity management. According to MongoDB, Atlas Agent Engine enables teams to deploy agents in production in a modular way. The company said intelligent agents built on Atlas Agent Engine can...
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