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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 lightweight Python library designed for building and running AI agents with minimal code. It offers first-class support for 'Code Agents' that execute Python, along with standard tool-calling agents. The framework is highly model, modality, and tool-agnostic, providing great flexibility for integration.
Best For
Rapidly building and deploying highly flexible, code-centric AI agents with diverse LLMs and tools.
Avoid If
Complex built-in state management or persistent conversational memory is a core requirement.
Strengths
- +Extremely simple, with agent logic abstracted minimally, making it easy to learn and use.
- +First-class support for Code Agents executing Python actions in sandboxed environments for secure, composable logic.
- +Supports common JSON/text-based Tool-Calling Agents for alternative paradigms.
- +Model-agnostic, integrating easily with Hugging Face Inference, OpenAI, Anthropic, LiteLLM, Transformers, and Ollama.
- +Modality-agnostic, capable of handling vision, video, and audio inputs.
- +Tool-agnostic, allowing integration of tools from MCP servers, LangChain, or Hugging Face Spaces.
- +Includes CLI tools for quickly running agents without boilerplate code.
Weaknesses
- −Lacks explicit built-in state management for persistent agent memory or conversational context.
- −Relies on external services (Modal, Blaxel, E2B, Docker) for secure code execution sandboxing.
Project Health
Is this project alive, well-maintained, and safe to bet on long-term?
Stars
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Latest Version
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Repo Age
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Monthly Downloads
last 30 days
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Dependent Repos
public repos using this
Fit
Does it support the workflows, patterns, and capabilities your team actually needs?
State Management
The framework does not provide an explicit built-in state management system; state must be managed via agent code or external mechanisms.
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: 24 July 2026
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