CrewAI vs OpenAI Agents SDK
Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.
Open source · MIT
Python framework for building teams of role-playing AI agents that work together on tasks.
Open source · MIT
A Python SDK for building AI agents that use tools, hand off tasks, and keep conversation history.
The short answer
Choose CrewAI if you need…
- Python developers prototyping multi-agent workflows
- Teams that want role-based agents collaborating on a task
- Developers who want both autonomous agent teams and tighter step-by-step control via Flows
- Builders who want low-level control over prompts and execution logic
Choose OpenAI Agents SDK if you need…
- Python developers building multi-step AI workflows
- Teams that want agents to call tools and delegate work to other agents
- Developers building voice assistants with speech-to-text and text-to-speech
- Builders who want built-in tracing to debug agent runs
Side-by-side
| CrewAI | OpenAI Agents SDK | |
|---|---|---|
| Type | Library | Library |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 60.4k | 30.5k |
| Setup difficulty | Intermediate | Intermediate |
| How you get it | Install with a package manager | Install with a package manager |
| Main language | Python | Python |
| Last code update | 4 days ago | 5 days ago |
What each one is
CrewAI
CrewAI is an open-source Python framework for orchestrating multiple AI agents. You give each agent a role and goal, and they collaborate through what the project calls Crews, while Flows provide event-driven, more precisely controlled workflows. It is aimed at developers building multi-step automations with LLMs.
OpenAI Agents SDK
The OpenAI Agents SDK is a Python library for building workflows where one or more LLM-powered agents work together. Each agent can be given instructions, tools, guardrails, and the ability to hand tasks to other agents. The README says it works with the OpenAI Responses and Chat Completions APIs and with 100+ other LLMs.
Best for
CrewAI
- Python developers prototyping multi-agent workflows
- Teams that want role-based agents collaborating on a task
- Developers who want both autonomous agent teams and tighter step-by-step control via Flows
- Builders who want low-level control over prompts and execution logic
OpenAI Agents SDK
- Python developers building multi-step AI workflows
- Teams that want agents to call tools and delegate work to other agents
- Developers building voice assistants with speech-to-text and text-to-speech
- Builders who want built-in tracing to debug agent runs
Strengths
CrewAI
- Open source under the MIT license with an active repository
- Offers both autonomous Crews and deterministic event-driven Flows
- Includes documentation, courses, and an official skills package for coding agents
OpenAI Agents SDK
- Small, focused API: an Agent plus a Runner covers the basic case, per the README examples
- Built-in features such as tools, handoffs, sessions, guardrails, and tracing are listed in the README
- Provider-agnostic design, supporting OpenAI APIs and 100+ other LLMs according to the README
Not ideal for
CrewAI
- Non-programmers, since the project is a Python framework and requires writing code
- Projects needing a fully managed hosted product without setup; the README's commercial AMP Suite is a separate paid offering
- Simple single-prompt tasks that do not need multiple agents or workflow control
OpenAI Agents SDK
- Non-programmers, since it is a code library with no graphical interface (reason: it is used by writing Python)
- Projects that need a non-Python stack, since the README points to a separate JavaScript/TypeScript version (reason: this repo is Python-only)
- Anyone who cannot use an OpenAI API key or another supported LLM provider (reason: the examples require OPENAI_API_KEY)
Trade-offs
CrewAI
- The README's performance and 'production-ready' claims are promotional and not backed by benchmarks in the excerpt
- Core concepts (Crews, Flows, Agents) add a learning curve for newcomers
- Some advanced features and a control plane are part of a commercial suite
OpenAI Agents SDK
- Requires an OpenAI API key or another LLM provider and usage may incur costs (the README sets OPENAI_API_KEY for examples)
- Some features depend on the platform: the sandbox example uses UnixLocalSandboxClient, which the README says is for macOS and Linux, so Windows users need Docker or a hosted client
- Contributions are limited to repository collaborators, so outside pull requests are not accepted per the README
Getting started
CrewAI
Install CrewAI (from PyPI, per the project's PyPI badge)
pip install crewaiOpenAI Agents SDK
Create and activate a virtual environment
python -m venv .venvInstall the package with pip
pip install openai-agentsFrequently asked questions
What is the difference between CrewAI and OpenAI Agents SDK?
CrewAI: Python framework for building teams of role-playing AI agents that work together on tasks. OpenAI Agents SDK: A Python SDK for building AI agents that use tools, hand off tasks, and keep conversation history. CrewAI suits python developers prototyping multi-agent workflows, while OpenAI Agents SDK suits python developers building multi-step ai workflows.
Are CrewAI and OpenAI Agents SDK free?
CrewAI: Free and open source. OpenAI Agents SDK: Free and open source.
Is CrewAI or OpenAI Agents SDK more popular?
CrewAI has more GitHub stars (60.4k) than OpenAI Agents SDK (30.5k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to CrewAI and OpenAI Agents SDK?
Other options people compare them with include LangGraph, LlamaIndex, Semantic Kernel, PageIndex, Stagehand.
Keep comparing
Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.