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Nir Diamant's genai_agents repository on GitHub, which has surpassed 22k stars, offers over 50 tutorials covering AI agent patterns from beginner to advanced, including conversational, multi-agent, RAG, and business agents built with frameworks like LangGraph, LangChain, AutoGen, CrewAI, and OpenAI Swarm.
This paper proposes a lightweight multi-agent framework using AutoGen for automated concrete barrier design, achieving over 98% accuracy and showing that smaller models can outperform massive ones in this domain.
A tool for visualizing AI agent workflows is introduced, supporting multiple agent frameworks including Langgraph, CrewAI, AutoGen, Google ADK, and OpenAI Agents SDK. The creator seeks community feedback and corrections.
A community discussion asking practitioners which AI agent orchestration framework—LangGraph, CrewAI, AutoGen, or OpenAI Agents—is most production-ready and scales well in real deployments.
A developer shares real-world experiences with AI orchestration frameworks (LangGraph, CrewAI, AutoGen), noting trade-offs between ease of prototyping and production reliability, and asks the community about handling failures, human-in-the-loop, and token costs.