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Explore how Dapr serves as an Application Developer Platform for building complex workflow-based applications and Agentic AI systems in this 25-minute conference talk from CNCF. Learn about existing and upcoming Dapr features that simplify the development of sophisticated applications, with particular focus on durable execution capabilities and resilient eventing mechanisms designed for AI agents. Discover how Dapr bridges the infrastructure gap by providing governance and regulation for application access to underlying systems, while delivering zero-trust security, agent-to-agent discovery, and event ingestion capabilities for popular AI agent frameworks including LangGraph and CrewAI. Gain insights from maintainers Yaron Schneider from Diagrid and Rajesh Iyer from JPMC as they demonstrate practical implementations and discuss the future roadmap for Dapr's role in the evolving landscape of AI-driven application development.
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