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Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.

  • Updated Oct 26, 2025
  • Jupyter Notebook

🕸 Yet Another .NET Clean Architecture, but for Microservices project. It uses Minimal Clean Architecture with DDD-lite, CQRS-lite, and just enough Cloud-native patterns apply on the simple eCommerce sample and run on Tye with Dapr extension 🍻

  • Updated Apr 27, 2023
  • C#

The Microservices Online Shop is an application with a modern software architecture that is cleanly designed and based on.NET lightweight technologies. The shop has two build variations. The first variant is the classic Microservices Architectural Style. The second one is with Dapr. Dapr has a comprehensive infrastructure for building highly dec…

  • Updated Dec 25, 2020
  • C#

A practical fork of github/spec-kit with patterns & templates for building scalable multi-agent AI systems. Ships production-ready stacks faster with OpenAI Agents SDK, MCP, A2A, Kubernetes, Dapr, and Ray. It also explicitly treats specifications, architecture history, prompt history, tests, and automated evaluations as first‑class artifacts.

  • Updated Dec 18, 2025
  • Python

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