AG2 vs OpenAI Agents SDK
On the evidence we track, AG2 leads this comparison with a composite score of 52/100. 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.
AG2
LeaderAG2 is an open-source programming framework that enables developers to build, coordinate, and deploy systems of autonomous AI agents. It provides a universal runtime for agents to interact with various language models, access tools, and operate with or without human oversight.
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.
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
AG2
Leader- Anthropic
- Google ADK
- LangChain
- AG-UI Protocol
- MCP
- AgentSkills.io
- SkillsMP
OpenAI Agents SDK
- OpenAI API
- Model Context Protocol (MCP)
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.