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learn-agentic-ai

AgentGitHubDormantJupyter Notebook

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.

Description provenance: Original source

Open canonical source

Measured: Oct 20, 2026 · 65 observations

Domains & Uses

Domains
Agents, skills and MCP

Check at the source

Compatibility and prerequisites must be checked in the official documentation.

https://github.com/panaversity/learn-agentic-ai

Classifications

Nature
Resource

Measurement history

Comparable readings are grouped by signal and unit.

Stars

4,388stars · Oct 20, 2026

+10 (+0.2 %)since Sep 22, 2026

Sep 22, 2026 : 4,378 starsSep 23, 2026 : 4,378 starsSep 24, 2026 : 4,378 starsSep 25, 2026 : 4,378 starsSep 26, 2026 : 4,380 starsSep 27, 2026 : 4,381 starsSep 28, 2026 : 4,382 starsSep 29, 2026 : 4,382 starsSep 30, 2026 : 4,385 starsOct 1, 2026 : 4,385 starsOct 2, 2026 : 4,386 starsOct 3, 2026 : 4,386 starsOct 4, 2026 : 4,387 starsOct 5, 2026 : 4,387 starsOct 6, 2026 : 4,386 starsOct 7, 2026 : 4,386 starsOct 8, 2026 : 4,386 starsOct 9, 2026 : 4,386 starsOct 10, 2026 : 4,383 starsOct 11, 2026 : 4,385 starsOct 12, 2026 : 4,385 starsOct 13, 2026 : 4,385 starsOct 14, 2026 : 4,387 starsOct 15, 2026 : 4,384 starsOct 16, 2026 : 4,385 starsOct 17, 2026 : 4,384 starsOct 18, 2026 : 4,385 starsOct 19, 2026 : 4,385 starsOct 20, 2026 : 4,388 stars
Exact values · 29 readings
MeasuredstarsChange
4,388+3
4,3850
4,385+1
4,384-1
4,385+1
4,384-3
4,387+2
4,3850
4,3850
4,385+2
4,383-3
4,3860
4,3860
4,3860
4,386-1
4,3870
4,387+1
4,3860
4,386+1
4,3850
4,385+3
4,3820
4,382+1
4,381+1
4,380+2
4,3780
4,3780
4,3780
4,378·