# Async MongoDB enables non-blocking data flows across agents and workflows

> We introduced AsyncMongoDb to provide fully asynchronous MongoDB access end to end. Teams can process more requests concurrently, reduce I/O bottlenecks, and improve responsiveness in agent…

- Published: 2025-10-29
- Author: Agno Team
- Category: Changelog
- Canonical: https://agno-com-nine.vercel.app/articles/async-mongodb-enables-non-blocking-data-flows-across-agents-and-workflows
- Markdown: https://agno-com-nine.vercel.app/articles/async-mongodb-enables-non-blocking-data-flows-across-agents-and-workflows.md

We introduced AsyncMongoDb to provide fully asynchronous MongoDB access end to end. Teams can process more requests concurrently, reduce I/O bottlenecks, and improve responsiveness in agent interactions and workflow runs. This removes the prior sync limitation while remaining fully backward compatible.

**Details**

- End-to-end async reads and writes to MongoDB with non-blocking I/O for higher throughput under load
- Works across agents, teams, and workflows; adopt incrementally alongside existing sync integrations
- No migration required; opt in where your services are async to simplify architecture and resource usage

**Who this is for:** Organizations running high-concurrency agent systems, event-driven workflows, or chat automation; engineering teams standardizing on async Python stacks.