OpenAI Agents SDK
OpenAI's lightweight framework for building agents with handoffs, guardrails, and built-in tracing.
The OpenAI Agents SDK is a small, deliberately unopinionated library for building agents. Its core ideas are few: an agent with instructions and tools, handoffs that pass control between agents, and guardrails that validate inputs and outputs.
It ships with tracing built in, and while it is tuned for OpenAI models it works with other providers. The appeal is restraint: enough structure to be useful, little enough to stay out of the way.
Where it fits
A good fit when you want a minimal agent loop with handoffs and tracing, and you are already building on OpenAI models.
Where it does not fit
Light on built-in orchestration: for complex branching control flow a graph framework gives you more to stand on.
Alternatives to OpenAI Agents SDK
The closest options on the map, and where each fits instead.
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Claude Agent SDK Lightweight agent SDK
A strong fit when building agents on Claude that run long, use many tools, and need context handled rather than hand-managed.
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Pydantic AI Type-safe agent framework
A strong fit for Python teams who want agent code that is statically typed and whose outputs are validated by construction.
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LangGraph Graph orchestration
Reach for LangGraph when an agent needs real branching (loops, retries, human-in-the-loop pauses) and you want that control flow written down explicitly.
Unlike OpenAI Agents SDK Maturity: established
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Mastra TypeScript agent framework
The natural choice for TypeScript and Node teams who want agents in the same language and codebase as the rest of their app.
Pairs with
Commonly used alongside it.
