OpenAI Agents SDK
OpenAI's official Python framework for building multi-agent workflows.
About
The OpenAI Agents SDK (openai/openai-agents-python, MIT, ~30k stars) is OpenAI's official framework for agentic applications: agent definitions with instructions and tools, handoffs between agents, guardrails, sessions, and tracing. It is the production successor to the experimental Swarm project.
Install with pip install openai-agents (extras for voice and Redis sessions). Docs at openai.github.io/openai-agents-python. If you build on OpenAI models, this is the default framework choice.
What it can do
- Agent definitions with tools and handoffs
- Guardrails and input/output validation
- Sessions and memory
- Built-in tracing
- Voice and realtime agent support
Setup
pip install openai-agents.- Set
OPENAI_API_KEY. - Define agents with instructions, tools, and handoffs per the quickstart.
- Run with
Runner.run(); add guardrails and session memory as needed.
Prerequisites
Python 3.9+; OpenAI API key.
Use cases
Works with
Trust score — 9/10
Scored 9/10 (verified tier). Official OpenAI framework, ~30k stars, MIT, very actively maintained (88 releases/12mo), docs and install verified. The default choice for OpenAI-model agents. Docked only marginally — near the top of the catalog on every axis.
★ 29,989 GitHub stars
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 8.4/10
- Maintenance · recency, releases, issue load
- 10.0/10
- Openness · license + docs
- 9.7/10
- Manual review · sanity read + red-flag check
- 9.0/10
- · 29,989 GitHub stars (log-scaled vs catalog peers)
- · last push 5d ago; 88 releases/12mo; 21 open issues
- · manual review: official OpenAI agents framework; the production successor to Swarm; very active; license: MIT
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.