DSPyvsMicrosoft AutoGen

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

DSPy

Developer Tools

Programming framework for LLMs — optimize prompts with code, not strings

Microsoft AutoGen

AI Agent Frameworks

Featured

Framework for building multi-agent conversational AI

FeatureDSPyMicrosoft AutoGen
CategoryDeveloper ToolsAI Agent Frameworks
PricingFree (open-source)Free (open-source)
GitHub Stars
22k
More stars
35k
PlatformsLinux, macOS, Windows
Key Features
    • Multi-agent conversations
    • Code execution
    • Human-in-the-loop
    • Customizable
    • Group chat
    Pros
    • + Systematic prompt optimization
    • + Composable and testable LLM programs
    • + Works with any LLM provider
    • + Backed by Stanford NLP
    • + Strong multi-agent conversation support
    • + Code execution built-in
    • + Human-in-the-loop capability
    • + Microsoft backing
    • + Research-grade quality
    Cons
    • Steep learning curve
    • Different paradigm from traditional prompting
    • Complex API for beginners
    • Heavy dependency tree
    • Documentation could be better
    • Resource intensive
    Tags
    multi-agentmicrosoftconversationsopen-source

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