Temporal, MongoDB Map Production Agent Stack

The architecture targets the real bottleneck in agent deployments: reliable state, tool execution, and context retrieval—not another demo framework.

• –Temporal workflows persist agent progress through crashes, retries, and long-running tasks
• –MongoDB Atlas unifies operational data, vector search, and agent memory
• –Voyage AI embeddings improve retrieval quality for RAG workflows
• –Activity-based tool execution creates clearer retry boundaries and audit trails
• –The stack reduces infrastructure sprawl, but teams still need independent evaluation, access controls, and observability