HuggingFace's minimal agent framework
Lightweight agent framework from HuggingFace. Agents write Python code as actions rather than JSON, enabling complex multi-step reasoning with minimal overhead.
The pipeline layer that connects LLM calls, retrieval, and data processing into a workflow
AIchitect's Genome scanner detects smolagents in your project via these signals:
smolagentsSmolAgents uses OpenAI's API for its code generation and reasoning steps via a direct model connector.
→ GPT-4o-powered SmolAgents with strong code generation for the agent's tool-calling and multi-step reasoning.
SmolAgents connects to Anthropic's API for Claude-powered code generation and reasoning.
→ Claude-powered SmolAgents — high-quality code generation with strong instruction following for tool use.
SmolAgents is built by HuggingFace and runs models from the HuggingFace Hub locally or via Inference API natively.
→ Open-model SmolAgents with no API costs — run fully local or serverless on HuggingFace's hosted inference.
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