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AutoGen vs DSPy

Side-by-side comparison with live GitHub signals. Last updated May 16, 2026.

A

AutoGen

Microsoft's framework for building multi-agent AI systems

OSSFree
58.1K4w ago445
D

DSPy

Framework for programming — not prompting — LLMs — 33K+ stars

OSSFree
34.5Ktoday393
MetricAutoGenDSPy
GitHub Stars58.1K34.5K
Contributors445393
Last CommitApr 15, 2026May 15, 2026
Open Issues823474
Licenseopen-sourceopen-source
Pricingopen-sourceopen-source
Free TierYesYes
Categoryframeworksframeworks
TrendingNoNo

Shared Tags

python

Only in AutoGen

multi-agentmicrosoftconversationcode-executiongroup-chat

Only in DSPy

prompt-optimizationprogrammingresearchragstanfordopen-source

About AutoGen

AutoGen is Microsoft's open-source framework for building multi-agent conversational systems where agents can converse with each other and with humans to solve complex tasks. Agents are highly customizable and can use LLMs, tools, and human input in flexible combinations. The framework supports group chats, nested conversations, and code execution sandboxes, making it well-suited for coding assistants, research automation, and enterprise agentic workflows. AutoGen Studio provides a no-code UI for prototyping agent systems visually.

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About DSPy

DSPy replaces prompt engineering with programming. Instead of writing prompts, you define modules with input/output signatures and DSPy automatically optimizes the prompts and weights for your pipeline. Supports chain-of-thought, retrieval-augmented generation, and multi-hop reasoning patterns. From Stanford NLP.

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