◉AgentOrchestrationFree
smolagents
Hugging Face's minimalist library for building agents that write and execute Python code as their primary action.
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评分★ 4.7
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smolagents
smolagents is a barebones library from Hugging Face for building agents that think in code. The entire agent logic fits in ~1000 lines of code. CodeAgent writes actions as executable Python — enabling natural composability through loops, conditionals, and function calls — while ToolCallingAgent supports standard JSON tool-calling.
Key Features
- Code-first agents: Actions are Python snippets executed in a sandboxed interpreter, not JSON blobs
- Secure sandboxing: Execute code safely via Modal, E2B, Docker, or Blaxel
- Any model: Works with Hugging Face models, OpenAI, Anthropic, local Ollama, and any LiteLLM-compatible provider
- Hub integration: Share and load agents and tools directly as Hugging Face Spaces
- Multi-agent: Compose agents hierarchically with a manager orchestrating specialists
- Minimal surface area: Easy to audit, extend, and debug
Quick Start
pip install smolagents
from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel
agent = CodeAgent(
tools=[DuckDuckGoSearchTool()],
model=HfApiModel("meta-llama/Llama-3.3-70B-Instruct")
)
agent.run("What were the biggest AI breakthroughs of 2025?")
Add to ai-supply
npx ai-supply add smolagents-code-agents
Curated mirror of the open-source smolagents (Apache-2.0). Get it from the source.