ClaudeWave
panaversity
panaversity

learn-agentic-ai

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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.

Subagents4.1k stars946 forks● Jupyter NotebookMITUpdated 5mo ago
ClaudeWave Trust Score
92/100
✓ Verified
Passed
  • ✓Open-source license (MIT)
  • ✓Healthy fork ratio
  • ✓Clear description
  • ✓Topics declared
  • ✓Mature repo (>1y old)
Last scanned: 4/14/2026
Install in Claude Desktop
Method detected: Manual
{
  "mcpServers": {
    "learn-agentic-ai": {
      "command": "node",
      "args": ["/path/to/learn-agentic-ai/dist/index.js"]
    }
  }
}
1. Copy the snippet above.
2. Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (Mac) or %APPDATA%\Claude\claude_desktop_config.json (Windows).
3. Replace any <placeholder> values with your API keys or paths.
4. Restart Claude Desktop. The MCP server appears automatically.
💡 Clone https://github.com/panaversity/learn-agentic-ai and follow its README for install instructions.
Use cases
🗄️ Data & DB⚙️ DevOps🎨 Creative
About

Subagents overview

README preview not available. Visit the repo on GitHub for full documentation.
Topics
a2aagentic-aidaprdapr-pub-subdapr-service-invocationdapr-sidecardapr-workflowdockerkafkakuberneteslangmemmcpopenaiopenai-agents-sdkopenai-apipostgresql-databaserabbitmqrancher-desktopredisserverless-containers
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