AG2 vs DSPy

Pick two tools from the same category to compare side-by-side.

	AG2 Community-maintained multi-agent conversation framework forked from Microsoft's AutoGen.	DSPy Open-source Python framework for programming, rather than prompting, language models.
Category	framework	framework
Vendor type	open source	open source
Pricing	free	free
Strengths	+ Proven conversational multi-agent patterns inherited from AutoGen + Open, contribution-based community governance + Built-in code execution and human-in-the-loop support + Model-agnostic across major LLM providers	+ Declarative, modular programs replace brittle prompt strings + Automatic prompt optimization against a defined metric + Portable across models and providers (uses LiteLLM under the hood) + Research-backed, with an active academic and OSS community
Tradeoffs	− Branding and lineage confusion with AutoGen and Microsoft Agent Framework − Still pre-1.0 with evolving APIs − Smaller institutional backing than vendor-led frameworks	− Optimizer-driven workflow has a distinct learning curve − Compilation and optimization can add cost and iteration time − Less of a turnkey agent runtime than orchestration-focused frameworks
Used in stacks	0	0