GenAI_Agents MCP Server
NirDiamant/GenAI_Agents
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
NirDiamant/GenAI_Agents is a Jupyter Notebook tool. 50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems. Topics: agents, genai, tutorials, langchain, langgraph, ai, llms, openai, llm, ai-agents, multi-agent, python, rag, agentic-ai, autonomous-agents, generative-ai, machine-learning, mcp, multi-agent-systems.
Ranked #2555 out of 24840 indexed tools.
Has 24,375 GitHub stars.
Has 54 contributors.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
24,375 stars → extremely popular
Last commit today → actively maintained
18/42 issues closed → many open issues
54 contributors → active community
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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From the README
# GenAI Agents: Comprehensive Repository for Development and Implementation 🚀 Welcome to one of the most extensive and dynamic collections of Generative AI (GenAI) agent tutorials and implementations available today. This repository serves as a comprehensive resource for learning, building, and sharing GenAI agents, ranging from simple conversational bots to complex, multi-agent systems. <h2 align="center">🎓 From demo agent to deployed product</h2> <div align="center"> **[Prompt to Production](https://europe-west1-rag-techniques-views-tracker.cloudfunctions.net/rag-techniques-tracker?notebook=genai-agents--readme&click=course-free-module-cta&target=https%3A%2F%2Fwww.diamant-ai.com%2Fcourses%3Futm_source%3Dgithub%26utm_medium%3Dreadme%26utm_campaign%3Dgenai-agents&retarget=0&text=course-free-module-cta)** - my full course on building software with AI the way professionals do: the methods and paradigms behind reliable, efficient, modular production systems, taught systematically. 1Read full README on GitHub →
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