AutoGen vs smolagents

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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.

About smolagents

smolagents is Hugging Face's minimalist agent framework that prioritizes simplicity and transparency over abstraction. At its core are CodeAgent, which writes and executes Python code as actions rather than relying on JSON tool calls, and ToolCallingAgent for traditional function-calling workflows. The framework is model-agnostic and integrates natively with the Hugging Face Hub, Transformers, and Inference API. Its small surface area makes it easy to audit, extend, and debug — ideal for researchers and practitioners who want full visibility into agent behavior without fighting a complex framework.