LangChain vs AutoGen Performance

Been comparing both frameworks for 6 months:

LangChain:
- Setup: ~2 hours
- Memory: 150-300MB
- Latency: 800ms avg

AutoGen:
- Setup: ~30 minutes
- Memory: 100-200MB
- Latency: 1200ms avg

What's your experience?

Interesting benchmarks! My experience differs slightly:

LangChain 0.1.0:
- Setup: 1 hour with templates
- Memory: 200MB with optimizations
- Latency: 600ms (using async)

Key optimization: Use LangChain Expression Language (LCEL) - much faster than legacy chains.

Have you tried the new AutoGen Studio? Visual agent creation is game-changing for rapid prototyping.

Also, consider CrewAI for this comparison - often outperforms both in simple scenarios.