smolagents
A lightweight, code-first AI agent framework that lets developers build powerful autonomous agents in just a few lines of code.
smolagents is a minimalist Python library for AI agents that write actions as executable Python code. It supports CodeAgent and ToolCallingAgent types with the entire logic in ~1,000 lines of code. Model-agnostic, supporting any LLM via LiteLLM (100+ providers). Developers create custom tools with Python decorators and share on Hugging Face Hub. Sandboxed execution via E2B, Docker, Modal, Blaxel, and Pyodide+Deno.
Use cases
Building autonomous multi-step research agents
Agentic RAG systems
Text-to-SQL database pipelines
Multi-agent workflow orchestration
Integrations
Hugging Face Hub
OpenAI
Anthropic
LiteLLM
E2B
Docker
Modal
Blaxel
DuckDuckGo Search
Ollama
Expected outcomes
Reduced development time
Lower inference costs (~30% fewer tokens than JSON)
Faster prototyping
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Company
Hugging Face
New York, USA
Founded 2016
Primary Verticals
Healthcare & Life SciencesFinancial Services (BFSI)ManufacturingRetail & E-commerceEducation
Functions
Engineering & DevOpsData & AnalyticsIT OperationsCustomer Experience
Industries
Healthcare & Life SciencesFinancial Services (BFSI)ManufacturingRetail & E-commerceEducation
10
Integrations
4
Use cases
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