Dapr Agents introduces a new framework aimed at building scalable and resilient AI agents using Large Language Models (LLMs). It distinguishes itself by enabling structured workflows and multi-agent coordination, while leveraging Dapr's robust security and observability features in a cloud-neutral environment. Tailored for enterprise use, it supports thousands of agents efficiently, integrates seamlessly with databases, and maintains high reliability through effective orchestration and messaging. Unlike other frameworks that may rely on unreliable systems, Dapr Agents utilizes Dapr’s proven workflow engine designed for production environments.
Dapr Agents is built on top of Dapr's full-featured workflow engine, ensuring reliability for production use cases unlike other frameworks with unreliable homegrown systems.
This framework enables structured workflows, multi-agent coordination, and event-driven execution, leveraging Dapr's security, observability, and cloud-neutral architecture.
Collection
[
|
...
]