oreilly-ai-agents

About oreilly-ai-agents

An introduction to the world of AI Agents

agent agentic-ai agents ai autogen claude crewai deepseek deepseek-r1 generative-ai

Quick Facts

Stars	269
Forks	200
Language	Jupyter Notebook
Category	MCP Server
Quality Score	36.7/100
Open Issues	1
Last Updated	2026-05-06
Created	2024-07-22
Platforms	claude-code, mcp
Est. Tokens	~1622k

Compatible Skills

These tools work well together with oreilly-ai-agents for enhanced workflows:

Roy — semantic(0.23)+complementary+rare_topics+same_lang+similar_pop (52%)
Hail_Hydra — semantic(0.24)+complementary+similar_pop+shared_platform (48%)
Agent-Wiz — semantic(0.24)+complementary+rare_topics+similar_pop (47%)
dive-into-langgraph — semantic(0.19)+complementary+same_lang+similar_pop (47%)
Meta-Agent-with-More-Agents — semantic(0.19)+complementary+same_lang+similar_pop (47%)

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Frequently Asked Questions

What is oreilly-ai-agents?

oreilly-ai-agents is An introduction to the world of AI Agents. It is categorized as a MCP Server with 269 GitHub stars.

What programming language is oreilly-ai-agents written in?

oreilly-ai-agents is primarily written in Jupyter Notebook. It covers topics such as agent, agentic-ai, agents.

How do I install or use oreilly-ai-agents?

You can find installation instructions and usage details in the oreilly-ai-agents GitHub repository at github.com/sinanuozdemir/oreilly-ai-agents. The project has 269 stars and 200 forks, indicating an active community.

View on GitHub → Browse MCP Server tools