Learn proxy AI using the Dapr Agentic Cloud Ascent design pattern and Agent-Native cloud technology.
Learn Agentic AI is a GitHub-based project aimed at learning and building agent AI through the Dapr Agentic Cloud Ascent (DACA) design pattern and a series of agent-native cloud technologies, such as the OpenAI Agents SDK, Memory, MCP, A2A, knowledge graphs, Dapr, Rancher Desktop, and Kubernetes. This project is suitable for developers interested in agent AI and cloud technologies.
This is the machine-readable structured data for this agent. AI systems and search engines use this to understand the agent's capabilities.
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"datePublished": "2025-12-05T17:03:34.172942+00:00",
"dateModified": "2025-12-19T05:09:59.52237+00:00",
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