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Dapr in 2025: Durable Execution for AgenticAI Systems and Becoming the Backbone of App Platforms

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Dapr 1.15 introduces a conversation API with built‑in circuit breakers, auth middleware and prompt caching kept in the sidecar to eliminate external egress and reduce cost; sensitive data obfuscation protects inputs and outputs. Workflows are now stable and can sleep to infinity for durable timers and human/agent approvals. The new Dapr Agents project layers agent abstractions on Dapr Workflows (tasks, orchestrator/assistant pattern, pub/sub, state) and demonstrates running multi‑agent plans with Redis state, structured plans, and recoverable execution at large scale.

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  1. 0:00Introduction
  2. 1:04Dapr’s CNCF graduation
  3. 3:11Dapr 1.15 highlights
  4. 4:53Dapr Workflows production
  5. 8:45AI agents transition
  6. 12:36Autonomous AI challenges
  7. 14:59Dapr Agents framework
  8. 16:43Building Dapr Agents
  9. 17:47Agentic patterns fundamentals
  10. 20:34Dapr Workflows for agents
  11. 23:04Agent communication state
  12. 25:11Dapr Agents demo overview
  13. 27:39Orchestrator vs assistant agents
  14. 29:02Running Dapr Agents demo
  15. 31:50Demo output state tracking
  16. 34:58Closing remarks
  17. 35:41Q&A
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