panaversity/learn-agentic-ai
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
- Stars
- 4.4k
- Forks
- 1.0k
- Open issues
- 12
- Last push
- 12mo ago
About learn-agentic-ai
learn-agentic-ai is a free, open-source AI agent tool by panaversity, written mainly in Jupyter 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. It has 4.4k GitHub stars and 1.0k forks, and was last updated 12mo ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- Jupyter Notebook
- Stars
- 4,387
- Last update
- 12mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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learn-agentic-ai FAQ
Is learn-agentic-ai free?
Yes. learn-agentic-ai is open source and free to use. It's released under the MIT license, a standard open-source license.
Does learn-agentic-ai run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does learn-agentic-ai need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is learn-agentic-ai still maintained?
It was last updated 12mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to learn-agentic-ai?
Similar free, open-source tools include hermes-agent, paperclip, ruflo, AutoGPT.