Agentic AI Showdown: AutoGen vs LangGraph vs CrewAI — Real Results, No Hype

In this CloudAINexus360 episode, we put three real agentic AI frameworks head-to-head — AutoGen, LangGraph, and CrewAI — using
Seaborn tips.csv (same dataset)
the same prompt
and Gemini 2.0 Flash (same LLM model).

Each AI framework tackled identical business metrics to see which one delivers the most actionable insights.

🏁 The Challenge:
Turn business metrics into insights autonomously (delegating data analysis function to autonomous AI Agents).

💡 Findings:
AutoGen → Fastest emergent reasoning between agents (PM ↔ Analyst)
LangGraph → Most deterministic and auditable workflow
CrewAI → Best at multi-role collaboration and natural communication

⚙️ Key Takeaway:
There’s no single “best” framework — the future lies in combining autonomy, structure, and collaboration for next-gen agentic systems.
📊 Watch till the end for telemetry, reasoning logs, and architecture flows.

Chapters
0:16 Intro – The AI Agent Framework Challenge
0:53 Subscribe & Channel Intro
1:12 The Experiment Setup
1:47 Framework Philosophies
3:05 Environment & Guardrails
6:03 How Each Framework Runs
10:18 Email Output Comparison
13:37 Telemetry Insights
15:12 Auditability & Compliance
17:47 Recommendations & Use Cases
20:19 Summary & Hybrid Strategy
21:03 Outro & Subscribe


Checkout the GitHub repo for artefacts:
https://github.com/cloudainexus360/ai...

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