The Dapr project has introduced Dapr Agents, a framework designed to simplify the creation of AI agents that can reason, act, and collaborate using large language models (LLMs). Built on top of Dapr, this framework enables developers to build systems of agents suitable for enterprise use cases, offering features such as: 
• Scalability: Capable of running thousands of agents on a single core. 
• Reliability: Automatically retries complex workflows and ensures task completion. 
• Kubernetes Integration: Deploys and operates natively on Kubernetes. 
• Data Accessibility: Facilitates data loading from various sources directly to an agent. 
• Security and Observability: Provides built-in support for secure and observable multi-agent systems. 
• Vendor Neutrality: Mitigates risks of license changes and IP infringement.
Source article: https://www.cncf.io/blog/2025/03/12/announcing-dapr-ai-agents/
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