OpenAI Agents SDK
openai/openai-agents-python
Official OpenAI Python SDK for multi-agent applications. GitHub: openai/openai-agents-python (~29k stars).
GitHub repository
Overview
OpenAI Agents SDK (openai/openai-agents-python) is listed in LimeDock Directories as an AI agent resource. Official OpenAI Python SDK for multi-agent applications. Group: multi-agent. Community size: ~29k GitHub stars. Repo (copy/paste): https://github.com/openai/openai-agents-python This page is a plain-English guide so searches for the GitHub project can land on how teams actually use it.
Work with LimeDock
Using this skill? LimeDock can wire it into a durable automation you own.
Agents are a starting point. LimeDock turns the workflow into production automation your SaaS team owns — not another prompt library.
We sell owned automations for SaaS teams — live workflows that plug into Slack, CRM, and your internal platform — not just a skill list.
Link
Installation guide
Open the GitHub repository, then follow the README for your stack.
Official GitHub repository: https://github.com/openai/openai-agents-python GitHub path: openai/openai-agents-python
How to open it: 1. Copy: https://github.com/openai/openai-agents-python 2. Clone or follow the README for your OS/stack. 3. Start with the smallest example before production use.
How to use it
**Simple example** You’re standardizing on OpenAI’s official agents SDK for Python services.
1. Install openai-agents. 2. Run the quickstart multi-agent example. 3. Wrap with your auth, logging, and evals.
Example prompts
- “Scaffold a Python service with OpenAI Agents SDK.”
- “Agents SDK vs LangGraph?”
- “Tracing and guardrails basics.”
Use cases and examples
- Evaluate openai/openai-agents-python as an AI agent building block
- Pilot OpenAI Agents SDK on one staging workflow
- Compare against agents you already pay for
- Document a team playbook after the pilot
Prerequisites
- Python
- OpenAI API access
Tips
- Official SDKs still need product guardrails.
- Add tracing day one.