openai-agents-python
A lightweight, powerful framework for multi-agent workflows
OpenAI's official Python toolkit for building AI products where multiple AI helpers work together, hand off tasks, use tools like web search or code execution, and remember conversations.
OpenAI's Agents SDK is a Python toolkit for building "multi-agent" AI systems — meaning products where multiple AI helpers work together, hand off tasks to each other, and use external tools to get things done. Think of it as a framework for orchestrating teams of AI workers rather than having a single chatbot do everything.
In practical terms, you could use this to build a customer support system where one AI agent handles refund questions, another handles technical support, and a coordinator routes conversations between them automatically. Or a coding assistant that can not only answer questions but also run code, inspect files, and take real actions on your computer.
Key capabilities include: agents that can use tools (like searching the web, calling APIs, or running code), safety guardrails that filter bad inputs or outputs, automatic conversation memory across sessions, voice agents for spoken interaction, and built-in tracing so you can see exactly what each agent did and debug problems. A newer "Sandbox Agent" feature lets an AI work inside a contained computer environment — useful for tasks that require actually running code or modifying files.
It works with OpenAI's own models but also supports 100+ other AI providers, so you are not locked in. It is the official SDK made by OpenAI themselves, which means it stays current with their newest model features.
For a vibe coder or non-technical founder: if you are building an AI-powered product in Cursor or with any Python backend, this library handles the complex plumbing of getting multiple AI steps to work together reliably. It is well-documented, free to use, and backed by OpenAI directly.
Where it fits
- Build a customer support product where different AI agents handle refunds, technical issues, and billing, with automatic routing between them.
- Create a coding assistant that can answer questions, run code, inspect files, and take real actions on a computer.
- Add voice interaction to an AI product using the built-in voice agent support.
- Set up safety guardrails that automatically filter harmful inputs or outputs before they reach users.