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OpenAI Swarm

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No lifecycle review is recorded for this listing. Its inclusion in the directory does not confirm current availability; check the vendor before relying on it.

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OpenAI's educational agent sketch: routines and handoffs in a few hundred lines — the blueprint the Agents SDK shipped. No lifecycle review is recorded for this listing. Its inclusion in the directory does not confirm current availability; check the vendor before relying on it.

Product preview

github.com
Preview of OpenAI Swarm

Overview

Swarm is OpenAI's teaching version of multi-agent orchestration: an MIT-licensed repository from its Solutions team, still headed 'experimental, educational' in the README. An agent is instructions plus Python functions, and only two operations exist — a routine, which loops over tool calls until the agent answers, and a handoff, where one agent returns another to carry on. There is no graph, no state store, no memory and no scheduler; the loop is plain code over the chat-completions interface, readable in an afternoon. That is why it mattered: it named the handoff pattern larger frameworks had buried in their machinery.

Judgement: on 2026-09-20 the repository is public, unarchived but effectively frozen — newest commit 15 April 2026, the one before it March 2025 — and the README states plainly that Swarm 'is now replaced by the OpenAI Agents SDK', recommending migration for production use. Maintenance went to the successor, which published v0.22.3 on 17 September 2026 and was still taking commits the day this was checked. It installs from git over SSH, so there is no version to pin, no changelog and no upgrade path. Nothing needs hosting: it is client code, so an API key is the only requirement, and it targets the older chat-completions shape, not the responses APIs current SDKs use. No streaming controls, guardrails, tracing or sessions ship with it, and it loses anywhere a run must survive a restart. Read it, teach handoffs from it, then build on the Agents SDK.

Sources

The factual claims in this review were read from the pages below. Each date is when an editor last opened the source, not when the product changed.

Pros / Cons

Pros

  • Read the whole framework in an afternoon
  • Handoffs as a first-class concept
  • Written by the model maker
  • Zero magic to debug

Cons

  • Explicitly experimental, no support
  • Not for production
  • Superseded by the Agents SDK

Who it's for

01

Learning how agent handoffs work

02

Prototyping a router of specialists

03

Teaching multi-agent patterns

04

Reading before adopting the Agents SDK

Bottom line

Agents as homework — Swarm to learn the pattern, the Agents SDK to ship it.

Key Features

Routines
Agent handoffs
A few hundred lines
Free
The Agents SDK blueprint

Tags

AgentsOpenAIEducational

Frequently asked questions

Is OpenAI Swarm currently available?

No lifecycle review is recorded for this listing. Its inclusion in the directory does not confirm current availability; check the vendor before relying on it.

What is OpenAI Swarm?

OpenAI Swarm is a Code Generation tool developed by OpenAI. It was introduced in 2024, and its developer is headquartered in San Francisco, USA. OpenAI's educational agent sketch: routines and handoffs in a few hundred lines — the blueprint the Agents SDK shipped.

Is OpenAI Swarm free?

Yes — OpenAI Swarm is free to use.

Is OpenAI Swarm open source?

Yes — OpenAI Swarm is open source. The source code is publicly available at https://github.com/openai/swarm.

What are the best alternatives to OpenAI Swarm?

Notable Code Generation alternatives include GitHub Copilot, Cursor, Replit Agent. Browse all 76 tools in our Code Generation category for a full overview.

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Basic Info

Pricing
Free
Editorial score
★ 4.2 / 5 How we score
Platforms
PythonGitHub
Launched
2024
Headquarters
San Francisco, USA
Last verified
Not recorded