OpenAI Agents SDK vs smolagents
On the evidence we track, smolagents leads this comparison with a composite score of 55/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for ai agent frameworks. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
OpenAI Agents SDK
A Python library for constructing multi-agent applications that supports various language model providers. It offers core components for defining agent behavior, integrating tools, enforcing safety constraints, coordinating between agents, and enabling human oversight during execution.
smolagents
LeaderAn open-source framework that enables you to create AI agents in just a few lines of code. It provides two agent types: CodeAgents that write actions as Python code, and ToolCallingAgents for JSON/text-based tool invocation. Supports any LLM provider and sandboxed code execution.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- OpenAI
OpenAI Agents SDK
- OpenAI API
- Model Context Protocol (MCP)
smolagents
Leader- Anthropic
- LiteLLM
- Ollama
- Transformers
- DuckDuckGoSearchTool
- Hugging Face Inference API
- Together AI
- Groq
- PyCharm
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.