Genai Agents — AI Agent Framework: Live Stats & TrendScore

Live GitHub stats, community sentiment, and trend data for Genai Agents. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.

GitHub data synced: Apr 15, 2026 • Sentiment updated: May 4, 2026

GitHub Statistics

Community Sentiment

Community Buzz: I've just launched a new GitHub repo in my Gen AI educational initiative, with 25 hands-on tutorials, as mentioned on HackerNews, and on GitHub, users are discussing the potential of GenAI_Agents, with one user suggesting the addition of AgentHive as a social layer example

Pros & Cons

What People Love

Comprehensive guides, Reddit users praise the repository's hands-on approach, Dev.to users appreciate the tutorials' clarity

Common Complaints

Limited real-world results, Some users find the tutorials too basic

Biggest Positive: Comprehensive Guides

Biggest Negative: Limited Real-World Results

Why Genai Agents Stands Out

This project provides a comprehensive resource for learning and building GenAI agents, ranging from simple conversational bots to complex, multi-agent systems.

Built With

Jupyter Notebook, Langchain, Langgraph, OpenAI

Getting Started

  1. Explore the repository
  2. Read the README
  3. Subscribe to the newsletter
  4. Join the community

About

50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

Category & Tags

Category: multi-agent

Tags: agents, ai, ai-agents, genai, langchain, langgraph, llm, llms, multi-agent, openai, python, rag, tutorials

Market Context

GenAI_Agents is a popular repository among AI enthusiasts, with a strong presence on GitHub and HackerNews, and is often discussed in the context of other AI-related projects