Smolagents is a minimalist AI agent framework developed by the Hugging Face team, designed to allow developers to deploy powerful agents with minimal code. It focuses on code agents, which execute tasks by writing and executing Python code snippets, rather than generating JSON or text blocks. This approach leverages the capabilities of large language models (LLMs) to generate and understand code, providing better composability, flexibility, and rich utilization of training data to efficiently handle complex logic and object management. Smolagents integrates deeply with Hugging Face Hub for easy sharing and loading of tools, promoting community collaboration. Additionally, it supports traditional tool-calling agents and is compatible with various LLMs, including models from Hugging Face Hub and those integrated through LiteLLM from OpenAI, Anthropic, and others. The introduction of Smolagents lowers the barrier to developing AI agents, enabling developers to more easily build and deploy AI-driven applications.