Open Source · Agent Framework Review
OpenAI Agents SDK
OpenAI's official Python SDK for building production agents. Provides a thin, ergonomic layer over the Responses API with native support for handoffs, tracing, guardrails, and MCP tool integration.
Editorial Score
4/5
4/5
Editorial score
MCP SUPPORTED
Latest: v0.13.6
// Our Verdict
The most direct path to production agents on OpenAI models. Low abstraction overhead and first-class tracing make it suitable for teams that want control without a heavyweight framework.
Best for: Python teams building directly on OpenAI models who want minimal abstraction and first-class observability
// Strengths
Official OpenAI SDK — model updates and new capabilities land here first
Native MCP tool support built in from release
First-class tracing and observability via OpenAI dashboard
Agent handoffs and guardrails as first-class primitives
Minimal abstraction — close to the metal, easy to debug
Python and TypeScript (JS) SDKs both available
// Weaknesses
OpenAI-model-only by design — no native multi-provider support
TypeScript SDK (openai-agents-js) is less mature and has fewer features than the Python version
Abstraction overhead can make debugging complex agent loops harder than plain SDK
Younger ecosystem than LangChain or LlamaIndex
// Agentic AI Audit
NOT SURE IF OPENAI AGENTS SDK
FITS YOUR STACK?
FITS YOUR STACK?
We map your agent system requirements, evaluate which framework fits your constraints, and give you a prioritised build plan. No fluff. Just a clear stack decision with rationale.