SmolAgents

Smolagents is a minimalist AI agent framework from Hugging Face that makes it easy to build powerful, code-based AI agents with just a few lines of Python123. Designed for straightforward development, smolagents removes complexity so even those with little technical experience can create agents that automate real-world tasks—such as searching the web or interacting with APIs—in an efficient, secure, and flexible way.

Key Features

• Extremely simple to use—agents can be created and run with minimal configuration and about 1,000 lines of core code.
• Direct “code agent” execution, allowing agents to generate and run Python code for high efficiency and fewer language model (LLM) calls.
• Broad compatibility with popular large language models (including Hugging Face models, OpenAI, Anthropic, and more).
• Secure code execution through sandboxed environments, protecting your system while running agent-generated code.

Use Cases

• Automatically gather financial or market data by querying APIs.
• Search the web and summarize content or results.
• Automate repetitive coding or data tasks to save time and effort.

Technical Specifications

• Lightweight codebase (~1,000 lines, focused on ease and speed).
• Supports integration with Hugging Face Hub for sharing and importing tools.
• Runs on any LLM via Hugging Face Transformers or LiteLLM adapters (including open-source and proprietary models).