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: Jun 17, 2026 • Sentiment updated: Jun 17, 2026
Community Buzz: According to a post on HackerNews, 'I think GenAI-agentic assisted engineering is the only way of working nowadays, and it's the only way I personally have worked for months.', which highlights the community's enthusiasm for GenAI. Another post on Dev.to mentions 'I Built an Autonomous AI Agent with Google ADK + Gemini That Spots Trends and Drafts Dev.to Articles for Me.', showcasing the creative applications of GenAI.
HackerNews users praise the potential of GenAI, Dev.to users appreciate the creative applications of GenAI, GenAI's ability to automate tasks
Job market requirements, Over-reliance on GenAI
Biggest Positive: GenAI Progressing
Biggest Negative: Job Market Ridiculous
This project provides a comprehensive resource for learning and building GenAI agents, ranging from simple conversational bots to complex, multi-agent systems.
Jupyter Notebook, Langchain, Langgraph, OpenAI
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
Category: multi-agent
Tags: agentic-ai, agents, ai, ai-agents, autonomous-agents, genai, generative-ai, langchain, langgraph, llm, llms, machine-learning, mcp, multi-agent, multi-agent-systems, openai, python, rag, tutorials
GenAI is competitively positioned in the market, with various companies and individuals adopting and developing it.