Dapr Agents: A Framework for Building Scalable, Resilient AI Agent Systems

Dapr Agents is a developer framework for building production-grade, resilient AI agent systems that operate at scale. Built on the battle-tested Dapr project, it enables developers to create AI agents that reason, act, and collaborate using Large Language Models (LLMs). Built-in observability and stateful workflow execution ensure agentic workflows complete successfully, regardless of complexity. Key features include efficient multi-agent execution, automatic retry mechanisms, Kubernetes native deployment, diverse data source integration, secure multi-agent collaboration, platform readiness, cost-effectiveness, and vendor neutrality.