learn-agentic-ai — tool profile and history

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.

Dormant

Canonical source ↗

Language
Jupyter Notebook
License
MIT
Created
Last activity
Topics
  • a2a
  • agentic-ai
  • dapr
  • dapr-pub-sub
  • dapr-service-invocation
  • dapr-sidecar
  • dapr-workflow
  • docker
  • kafka
  • kubernetes
  • langmem
  • mcp
  • openai
  • openai-agents-sdk
  • openai-api
  • postgresql-database
  • rabbitmq
  • rancher-desktop
  • redis
  • serverless-containers

Current measurement

4 350GitHub stars+7 (+0.16 %)
measured growth

Momentum uses available readings from the last 7 days: measured with at least two comparable readings, estimated otherwise.

Reading history

90 days · 90 maximum readings
DateValueMetric
4 350GitHub stars
4 352GitHub stars
4 350GitHub stars
4 349GitHub stars
4 347GitHub stars
4 344GitHub stars
4 343GitHub stars
4 343GitHub stars
4 343GitHub stars
4 338GitHub stars
4 336GitHub stars
4 332GitHub stars
4 330GitHub stars
4 327GitHub stars
4 326GitHub stars
4 327GitHub stars
4 325GitHub stars
4 325GitHub stars

Classifications

Domains
Type
Agents
Use cases
  • No declared use case

These entries declare the same topics. No similarity is inferred: only the shared topics are stated.