Agent Frameworks
🎯 AutoGen vs DSPy
Community Vote — Which tool wins?
AutoGen
Tool AOpen-source multi-agent framework from Microsoft Research with asynchronous architecture, AutoGen Studio GUI, and OpenTelemetry observability. Now part of the unified Microsoft Agent Framework alongside Semantic Kernel.
Starting Price
Free
Key Strengths
- ✓Free and open source (MIT license) with no usage restrictions or commercial tiers
- ✓AutoGen Studio provides a visual no-code builder that no other major agent framework offers for free
- ✓Cross-language support (Python and .NET) serves enterprise teams with mixed codebases
DSPy
Tool BStanford NLP's framework for programming language models with declarative Python modules instead of prompts, featuring automatic optimizers that compile programs into effective prompts and fine-tuned weights.
Starting Price
Free (MIT open-source)
Key Strengths
- ✓Automatic prompt optimization eliminates the fragile, manual prompt engineering cycle — you define metrics, DSPy finds the best prompts
- ✓Model portability means switching from GPT-4 to Claude to Llama requires re-optimization, not prompt rewriting — programs transfer across providers
- ✓Small model optimization routinely achieves competitive accuracy on Llama/Mistral models, reducing inference costs by 10-50x versus large commercial models
Which would you choose for...
Vote in each scenario below