Hugging Face smolagents vs. Crewai
A side-by-side comparison based on G2 review data.
| Metric | Hugging Face smolagents | Crewai |
|---|---|---|
| Overall rating | 4.4 | 4.3 |
| Review count | 47 | 29 |
| Ease of use | 9.1 | 8.8 |
| Ease of setup | 8.8 | 9.2 |
| Quality of support | 8.5 | 8.3 |
| Meets requirements | 8.8 | 8.7 |
| NPS | 57.446809 | 51.851852 |
| Small Business | 59.6% | 79.3% |
| Mid-Market | 27.7% | 17.2% |
| Enterprise | 12.8% | 3.4% |
| Total page views | 430 | 179 |
| Total LLM citations | 98 | 44 |
Hugging Face smolagents
Smolagents is an open-source Python library developed by Hugging Face, designed to simplify the creation and execution of AI agents with minimal code. With a core logic comprising approximately 1,000 lines, smolagents emphasizes simplicity and efficiency, enabling developers to build powerful agents swiftly. The library is model-agnostic, allowing integration with various large language models (LLMs), including those from Hugging Face, OpenAI, Anthropic, and others via LiteLLM integration.
Crewai
CrewAI is a robust Python framework designed to facilitate the creation and orchestration of autonomous AI agents capable of collaborative problem-solving. By enabling developers to define specialized roles, assign tasks, and equip agents with specific tools, CrewAI streamlines the development of complex, multi-agent workflows. Its architecture supports both high-level simplicity and precise low-level control, making it suitable for a wide range of applications—from simple automations to intricate enterprise solutions.