SmolAgents
Lightweight AI agent development framework for rapid creation of powerful agents
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for SmolAgents, 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
SmolAgents is a lightweight intelligent agent library developed by Hugging Face, focusing on simplifying the AI agent system development process. With a core code of only about 1,000 lines, it offers powerful feature integration capabilities, including support for code execution agents. SmolAgents supports various mainstream large language models and provides a secure Python interpreter and sandboxed environment for safe code execution
Key features and capabilities
- Lightweight framework with core logic of ~1000 lines of code
- Support for multiple large language model integrations (HuggingFace, OpenAI, Anthropic, etc.)
- Code execution agent function with direct tool invocation through Python code
- Secure code execution environment and sandboxing mechanism
- Integration with HuggingFace Hub for sharing and loading tools
- Simple and intuitive API design for rapid development and deployment
Use cases
- Rapid development of AI agent systems
- Creating code execution agents for automated task completion
- Building secure AI applications with sandboxed environments
- Integrating various language models into agent-based systems
- Developing and sharing custom tools for AI agents
- Prototyping complex AI workflows with minimal code