---
title: "OpenAI Agents SDK"
type: agent
id: "openai-agents-sdk"
category: "dev-framework"
category_label: "Dev Framework"
description: "Production-grade agent toolkit from OpenAI, replacing the earlier Swarm project. Core abstractions include handoffs between agents with full conversation context, built-in guardrails, and tracing for debugging and monitoring."
last_updated: "2026-04-10"
website: "https://platform.openai.com/docs/agents"
github: "https://github.com/openai/openai-agents-python"
stars: "18K+"
license: "MIT"
pricing: "Free SDK (OpenAI API costs apply)"
languages:
- "Python"
tags:
- "dev-framework"
- "python"
best_for:
- "OpenAI ecosystem users"
- "Production agent systems"
- "Multi-agent handoffs"
- "Enterprise applications"
---
# OpenAI Agents SDK
OpenAI's official answer to "how do I build agents with GPT?" -- and a significant upgrade from the experimental Swarm project it replaces. At 18K stars, it has serious adoption, and the tight integration with OpenAI's models makes it the path of least resistance for teams already on the OpenAI API.
The handoff abstraction is the core innovation. Agents can transfer full conversation context to other agents seamlessly, which makes customer service routing, triage systems, and multi-step workflows feel natural. Built-in guardrails let you define safety constraints declaratively rather than bolting them on after the fact, and the tracing system gives you production-grade debugging out of the box.
The trade-off is lock-in. This SDK is designed for OpenAI models, and while you can technically point it at other providers, you are swimming against the current. If you are already paying for the OpenAI API and building with GPT-4, this is the cleanest developer experience available. If you are model-agnostic or prefer Claude, you are better off elsewhere.
Python-only for now, which puts TypeScript teams at a disadvantage compared to the Anthropic SDK or Mastra. The 18K stars put it solidly between CrewAI (28K) and LangGraph (8.2K) in community size, though the backing of OpenAI means long-term support is essentially guaranteed.
**When to pick something else:** If you want model flexibility, LangGraph or CrewAI are model-agnostic. If you are building with Claude, the Anthropic Agent SDK is the mirror equivalent. If you need TypeScript, Mastra is purpose-built. If you want visual, no-code agent building, Lindy or n8n are better starting points.
OpenAI Agents SDK
OpenAI's official answer to "how do I build agents with GPT?" -- and a significant upgrade from the experimental Swarm project it replaces. At 18K stars, it has serious adoption, and the tight integration with OpenAI's models makes it the path of least resistance for teams already on the OpenAI API.
The handoff abstraction is the core innovation. Agents can transfer full conversation context to other agents seamlessly, which makes customer service routing, triage systems, and multi-step workflows feel natural. Built-in guardrails let you define safety constraints declaratively rather than bolting them on after the fact, and the tracing system gives you production-grade debugging out of the box.
The trade-off is lock-in. This SDK is designed for OpenAI models, and while you can technically point it at other providers, you are swimming against the current. If you are already paying for the OpenAI API and building with GPT-4, this is the cleanest developer experience available. If you are model-agnostic or prefer Claude, you are better off elsewhere.
Python-only for now, which puts TypeScript teams at a disadvantage compared to the Anthropic SDK or Mastra. The 18K stars put it solidly between CrewAI (28K) and LangGraph (8.2K) in community size, though the backing of OpenAI means long-term support is essentially guaranteed.
When to pick something else: If you want model flexibility, LangGraph or CrewAI are model-agnostic. If you are building with Claude, the Anthropic Agent SDK is the mirror equivalent. If you need TypeScript, Mastra is purpose-built. If you want visual, no-code agent building, Lindy or n8n are better starting points.