Jan 14
Loading video player...
Most AI demos look impressive, but real systems need memory, control, and human oversight. This video compares LangGraph, CrewAI, and Microsoft AutoGen so tech leads and developers can choose the right multi-agent framework for real-world AI systems. We break down how each AI framework handles: State and memory, Human-in-the-Loop (HITL), orchestration and control, and ease of setup vs production readiness. This is a practical, system-level comparison for teams building agent-based AI, RAG pipelines, and production workflows. What you’ll learn: 00:00 - Intro for Multi-Agent Frameworks 00:35 - LangGraph’s Description 01:31 - CrewAI’s Qualities 02:28 - AutoGen’s Pros and Cons 03:34 - Comparison Factors 03:43 - Ease of Getting Started 04:01 - Structure & Orchestration 04:24 - Use Case Fit 04:54 - Performance & Maturity 05:12 - Conclusion Explore more about AI & software engineering for real-world systems at https://www.clickittech.com/ai-development-services/ And don’t forget to subscribe for more AI insights. #AI #AIAgents #LangGraph #CrewAI #AutoGen #LLMOps #SoftwareEngineering