SmolAgents
Basic Information
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
Links
Access
Open Source
Stars
1196
Github Repository
App Details
Features
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
Pricing
Pricing Model
Free