AG2 vs smolagents

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

	AG2 Community-maintained multi-agent conversation framework forked from Microsoft's AutoGen.	smolagents Hugging Face's minimalist agent library where agents act by writing and running code.
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	+ Minimal, readable codebase with few abstractions + Code-agent approach can reduce steps and LLM calls + Model-agnostic via LiteLLM and the Hub + Sandboxed execution options (E2B, Modal, Docker)
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	− Minimalism means fewer built-in features for complex orchestration − Executing model-written code requires careful sandboxing − Younger, smaller ecosystem than larger frameworks
Used in stacks	0	0