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SmolAgents
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Overview
The bottom line — what this framework is, who it's for, and when to walk away.
Bottom Line Up Front
SmolAgents is a Python library for rapidly building LLM agents with minimal code, emphasizing simplicity. It supports both code-writing agents with sandboxed execution and traditional tool-calling, integrating flexibly with various models and tools. Its design prioritizes ease of use and broad compatibility across modalities and sources.
Best For
Rapidly building and deploying LLM agents with code execution and flexible tool/model integration.
Avoid If
no data
Strengths
- +Extremely easy to build and run agents with minimal code, designed for simplicity.
- +Supports Code Agents capable of writing actions in code, with secure sandboxed execution options (Modal, Blaxel, E2B, Docker).
- +Flexible integration with various LLM providers and models, including local Transformers and Ollama.
- +Agnostic to tool sources, allowing integration from MCP servers, LangChain, or Hugging Face Spaces.
- +Handles diverse input modalities beyond text, including vision, video, and audio inputs.
Weaknesses
Project Health
Is this project alive, well-maintained, and safe to bet on long-term?
Stars
Open Issues
Last Commit
Commit Frequency
Bus Factor Score
Maintainers
Latest Version
Total Releases
Repo Age
Forks
Monthly Downloads
last 30 days
Versions Published
Known Vulnerabilities
Dependent Repos
public repos using this
Fit
Does it support the workflows, patterns, and capabilities your team actually needs?
State Management
no data
Perspective
Your expertise shapes what we build next.
We build for engineers who make real architectural decisions. If something is missing, inaccurate, or could be more useful — we want to hear it.
Last updated: 21 May 2026
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