smolagents

smolagents

Build powerful AI agents in minutes with minimal code complexity.
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Resume

smolagents is a lightweight AI agent library enabling developers to create powerful, code-generating agents with minimal complexity. It supports multiple LLM models and provides secure, flexible tool integration for advanced agentic workflows.

Details

Introducing Overviewsmolagents: Simplifying AI Agent Creation and Deployment

Overviewsmolagents is an open-source Python library dedicated to streamlining the development and implementation of intelligent AI agents. This innovative tool offers a minimalistic and adaptable framework, empowering developers to construct advanced agent systems efficiently with just a few lines of code.

Key Features

  • Code Agent Technology: Empowering agents to dynamically generate and execute Python code.
  • Multi-Model Support: Compatibility with industry-leading providers such as Hugging Face, OpenAI, Anthropic, and more.
  • Secure Execution: Ensuring safety through sandboxed environments and secure Python interpreters.
  • Hub Integrations: Seamless sharing and integration of tools through Hugging Face Hub.
  • Minimal Complexity: Core agent logic condensed within approximately 1,000 lines of code.

Use Cases

  • Automated research and data collection
  • Complex problem-solving workflows
  • Tool orchestration and multi-step task automation
  • Adaptive AI assistants for diverse domains

Technical Specifications

  • Language: Python
  • Dependencies: transformers, LiteLLM
  • Execution Modes: Secure Python interpreter, E2B sandboxed environment
  • Model Compatibility: Transformers, API-based models
  • License: Apache 2.0

Tags

secure-execution
research
hugging-face-hub
tool-orchestration
ai-agent-builder
problem-solving
multi-model-support
python
code-generation