by openai · Agent Tool · ★ 27.3k
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OpenAI Agents SDK The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows. It is provider-agnostic, supporting the OpenAI Responses and Chat Completions APIs, as well as 100+ other LLMs. [!NOTE] Looking for the JavaScript/TypeScript version? Check out Agents SDK JS/TS. Core concepts: Agents: LLMs configured with instructions, tools, guardrails, and handoffs Agents as tools / Handoffs: Delegating to other agents for specific tasks Tools: Various Tools let agents take actions (functions, MCP, hosted tools) Guardrails: Configurable safety checks for input and output validation Human in the loop: Built-in mechanisms for involving humans across agent runs Sessions: Automa
| Stars | 27,254 |
| Forks | 4,201 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 56.15/100 |
| Open Issues | 153 |
| Last Updated | 2026-06-19 |
| Created | 2025-03-11 |
| Platforms | python |
| Est. Tokens | ~14k |
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openai-agents-python is A lightweight, powerful framework for multi-agent workflows. It is categorized as a Agent Tool with 27.3k GitHub stars.
openai-agents-python is primarily written in Python. It covers topics such as agents, ai, framework.
You can find installation instructions and usage details in the openai-agents-python GitHub repository at github.com/openai/openai-agents-python. The project has 27.3k stars and 4201 forks, indicating an active community.
openai-agents-python is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to openai-agents-python on Agent Skills Hub include voltagent, sdk-python, ragflow. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.