Smolagents
huggingface/smolagents
Barebones code-thinking agents from Hugging Face — minimal agent loops. GitHub: huggingface/smolagents (~29k stars).
GitHub repository
Overview
Smolagents (huggingface/smolagents) is listed in LimeDock Directories as an AI agent resource. Barebones code-thinking agents from Hugging Face — minimal agent loops. Group: multi-agent. Community size: ~29k GitHub stars. Repo (copy/paste): https://github.com/huggingface/smolagents This page is a plain-English guide so searches for the GitHub project can land on how teams actually use it.
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Link
Installation guide
Open the GitHub repository, then follow the README for your stack.
Official GitHub repository: https://github.com/huggingface/smolagents GitHub path: huggingface/smolagents
How to open it: 1. Copy: https://github.com/huggingface/smolagents 2. Clone or follow the README for your OS/stack. 3. Start with the smallest example before production use.
How to use it
**Simple example** You want a tiny agent framework to learn/hack without a huge stack.
1. Install smolagents. 2. Run a code-agent example. 3. Point tools at safe local functions only.
Example prompts
- “Build a smolagents code agent that uses a calculator tool.”
- “Smolagents vs LangChain agents?”
- “Teaching exercise for our eng team.”
Use cases and examples
- Evaluate huggingface/smolagents as an AI agent building block
- Pilot Smolagents on one staging workflow
- Compare against agents you already pay for
- Document a team playbook after the pilot
Prerequisites
- Python
- HF/Open model access optional
Tips
- Minimalism is the point — don’t re-add bloat.
- Sandbox code execution.