openai-agents-python
A lightweight, powerful framework for multi-agent workflows
GraphCanon updated 4d · GitHub synced 4d · 39 views this month
Decision brief
The openai-agents-python is a Python-based framework designed to simplify the creation and management of multiple AI-driven agents in complex workflows. Given its focus on multi-agent coordination and its lightweight, no
Good fit when
- Use openai-agents-python when you need a lightweight solution that simplifies managing multiple AI agents in a single workflow.
- Select this framework if your project depends heavily on the integration of OpenAI models as part of the agent ecosystem.
Avoid when
- Avoid using openai-agents-python when you require a more specialized multi-agent system that is tightly integrated with specific cloud providers beyond OpenAI.
- Do not choose this tool if your project does not involve Python or requires agents interacting in a simplified manner without complex workflow support.
- Hosting:
- unknown
Observed Jul 11, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of 4d
- Provenance
- Not a fork · Organization account
- As of 4d
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Backing
Company context for OpenAI. Display-only - separate from trust and ranking.
- Company
- OpenAI·GitHub org profile·1mo
- Employees
- 4,500·Wikidata (P1128 employees)·1mo
- Funding
- $13,000,000,000 (2023-01)·GraphCanon curated seed (public press)·1mo
- Commercial model
- OSS + managed cloud·GraphCanon curated seed·1mo
Install
pip install openai-agents-pythonHow it fits your stack(17)
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Evidence and technical details
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Overview
Python-based framework for creating and managing multiple AI-driven agents in complex workflows.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Aug 16, 2026
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Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 16, 2026)
1. [**Agents**](https://openai.github.io/openai-agents-python/agents): LLMs configured with instructions, tools, guardrails, and handoffsSource link
Tags
README
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
- Sandbox agents: Agents preconfigured to work with a container to perform work over long time horizons.
- Realtime agents: Build powerful voice agents with
gpt-realtime-2.1and full agent features - Voice agents: Build voice pipelines that combine speech-to-text, an agent workflow, and text-to-speech
- 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: Automatic conversation history management across agent runs
- Tracing: Built-in tracking of agent runs, allowing you to view, debug and optimize your workflows
Explore the examples directory to see the SDK in action, and read our documentation for more details.
Get started
To get started, set up your Python environment (Python 3.10 or newer required), and then install OpenAI Agents SDK package.
venv
python -m venv .venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
pip install openai-agents
For voice support, install with the optional voice group: pip install 'openai-agents[voice]'. For Redis session support, install with the optional redis group: pip install 'openai-agents[redis]'.
uv
If you're familiar with uv, installing the package would be even easier:
uv init
uv add openai-agents
For voice support, install with the optional voice group: uv add 'openai-agents[voice]'. For Redis session support, install with the optional redis group: uv add 'openai-agents[redis]'.
Run your first agents
The SDK supports four primary ways to run agents. Set the OPENAI_API_KEY environment variable before running any of these examples.
Run a text agent
Use a text Agent for workflows that do not need a persistent realtime connection or a sandbox workspace.
from agents import Agent, Runner
agent = Agent(name="Assistant", instructions="You are a helpful assistant")
result = Runner.run_sync(agent, "Write a haiku about recursion in programming.")
print(result.final_output)
# Code within the code,
# Functions calling themselves,
# Infinite loop's dance.
(For Jupyter notebook users, see hello_world_jupyter.ipynb)
Run a sandbox agent
Use a [SandboxAgent](https:/
For agents
This page has a .md twin and JSON over the API.