Agents open-source 26,833 stars

OpenAI Agents SDK

Lightweight Python framework for building multi-agent workflows with handoffs, tools, tracing, and guardrails.

OpenAI Agents SDK is an MIT-licensed Python framework for building agent workflows that can use tools, hand off between agents, trace execution, and apply guardrails.

terminal
$ pip install openai-agents
Decision signals
Open source
Tags
tool callingworkflow orchestrationopen sourcedeveloper workflow

Action profile

What can OpenAI Agents SDK actually do?

Agent profiles are most useful when they explain the surfaces an agent can act on, how those actions are supervised, and what a safe first workflow looks like.

OpenAI Agents SDK is an open agent resource to evaluate by action surface: what software it can operate, which tools or browser steps it touches, and how much supervision it needs before it can run real work.

Fit check

Where it fits in an agent workflow

Good fit if

  • Developers building multi-agent workflows in Python
  • Teams that want tracing and guardrails close to the agent runtime
  • Builders comparing small agent frameworks against LangGraph, CrewAI, and smolagents

Not a fit if

  • Teams that need a model-agnostic orchestration platform from day one
  • Users looking for a no-code agent product

Action surface

What to inspect before using it

Action surface

Browser, terminal, code, tools, APIs, files, or workflow steps it can operate.

This defines the risk boundary.
Supervision

Logs, review points, approvals, and whether a human can pause or replay actions.

Action agents need auditability.
Failure mode

What happens when a page changes, a tool fails, or the agent reaches uncertainty.

Recovery behavior matters more than demos.

First test

How to evaluate it before committing

Run one narrow action in a sandbox, then inspect permissions, logs, recovery behavior, and every tool or browser step.

Keep the first test small enough that you can inspect the source, understand the permissions, and compare the result with nearby OpenAgent resources.

Workflows

Best workflows to test first

Developer workflow

Use it as a candidate for developer workflow when the project facts, license, and official links match your deployment requirements.

Compare

Compare by action boundary

When to choose OpenAI Agents SDK

Compare it with nearby agents by looking at hosting model, integration surface, license, and whether the official docs show the workflow you need.

Resource Category License Stars
Aider Agents Apache-2.0 45,400
AutoGen Agents CC-BY-4.0 58,400
Claude Code Agents Proprietary 127,000

FAQ

Adoption questions

What should I check before using OpenAI Agents SDK?

Start with one safe workflow for OpenAI Agents SDK. Inspect official setup instructions, required credentials, execution logs, approval points, and failure recovery before expanding from a sandbox task into production automation.

Is OpenAI Agents SDK open source?

OpenAI Agents SDK is listed with MIT based on the official source links in this profile. Re-check the repository, model card, or docs before production use.

Who should evaluate OpenAI Agents SDK?

OpenAI Agents SDK is most worth evaluating for developers building multi-agent workflows in Python.