Smolagents
Lightweight Python agent framework from Hugging Face where agents write Python code instead of JSON tool calls
Smolagents is a minimalist agent library from Hugging Face with core logic in roughly 1,000 lines of code. Its Code Agents write actions as Python code rather than JSON-based tool calls, enabling natural composability with loops, conditionals, and function nesting. This reduces steps and LLM calls by about 30% compared to standard tool-calling. It works with any LLM (local via Ollama or remote via OpenAI, Anthropic, etc.), supports sandboxed execution through E2B, Docker, and Modal, and integrates with Hugging Face Hub for sharing tools and agents.
Pricing: Free
Smolagents Alternatives
Explore 48 products in the Agents category. View all Smolagents alternatives.
CrewAI
Framework for orchestrating role-playing, autonomous AI agents.
Fixie
The fastest way to build conversational AI agents
LangGraph
Low-level framework for building stateful, long-running AI agents with graph-based orchestration
Semantic Kernel
Microsoft's SDK for building and orchestrating AI agents in .NET, Python, and Java
Langroid
Multi-agent LLM framework using message-based task delegation inspired by the Actor model
Mastra
TypeScript-first AI framework for building agents, RAG pipelines, and workflows
Work on Smolagents? Feature it at the top of Agents.
Is your product missing?