Smolagents AI Agent
Create AI agents with minimal code using Hugging Face's lightweight framework
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for Smolagents AI Agent, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology — every score is re-derived by the same automated method as an agent's public evidence changes.
Overview
What is Smolagents? Smolagents is a revolutionary open-source AI agent framework that allows developers to build and deploy robust AI agents with just a few lines of code. Built by the Hugging Face team, it focuses on simplicity and efficiency while enabling Large Language Models (LLMs) to interact seamlessly with the real world.
Key features and capabilities
- 🎯 Minimalist codebase (~1,000 lines of core code)
- 💻 Code-first approach for better efficiency
- 🔒 Secure sandboxed code execution
- 🤝 Deep integration with Hugging Face Hub
- 🔄 Support for multiple LLM providers
- 🛠️ Easy tool sharing and import
Use cases
- AI developers looking for a lightweight agent framework
- Teams wanting to build efficient AI solutions
- Researchers exploring agent-based AI systems
- Developers who prefer code-first approaches over JSON configurations