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OpenAI Swarm

OpenAI Swarm AI Agent
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Overview

OpenAI Swarm is an educational Python framework for function tools and agent handoffs, superseded by the separate OpenAI Agents SDK.

OpenAI Swarm is an educational Python framework for function tools and agent handoffs, superseded by the separate OpenAI Agents SDK.

Swarm’s execution loop calls functions, changes agents and passes context variables. Its deliberately small design is useful for learning handoffs, without the production capabilities of its successor.

The source remains accessible, but maintainers recommend the Agents SDK for production. Developers configure Python, model access, tools and message history themselves.

Use Swarm to study a compact historical orchestration design. Evaluate the maintained Agents SDK separately for a new production application.

Product overview

Capabilities, pricing and fit

OpenAI Swarm is an educational Python framework for function tools and agent handoffs, superseded by the separate OpenAI Agents SDK.

Information as of November 10, 2026

What it can do

  • What it does

    Swarm’s execution loop calls functions, changes agents and passes context variables. Its deliberately small design is useful for learning handoffs, without the production capabilities of its successor.[1]

  • Setup and human role

    The source remains accessible, but maintainers recommend the Agents SDK for production. Developers configure Python, model access, tools and message history themselves.[1]

  • Connections

    Swarm uses Chat Completions and developer-written Python functions. External services require your own function implementations and credentials.[1]

  • Video guide

    This October 2024 Cole Medin tutorial demonstrates a Swarm-based SQL workflow and includes a sponsored Chat2DB segment. It covers the historical educational framework.[2]

Where it fits best

  • Use Swarm to study a compact historical orchestration design. Evaluate the maintained Agents SDK separately for a new production application.[1]

Pricing and availability

MIT source makes historical experimentation accessible; model calls and hosting still cost money. Avoid budgeting a new production service around a superseded educational package.[1]

Platforms: Developer-managed application[1]

Access: The source remains accessible, but maintainers recommend the Agents SDK for production. Developers configure Python, model access, tools and message history themselves.[1]

Sources (2)
  1. github.com — product informationOfficial site · checked 2026-11-10
  2. Product introduction or demonstrationOfficial site · checked 2026-11-10

Autonomy level

77/100

Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.

Reasoning: Swarm’s historical agent loop calls configured Python tools and hands work between agents until it returns a result. Developers supply instructions, tool implementations, credentials and conversation history and handle approvals and recovery. The score describes this educational execution pattern; new production work should evaluate the maintained ...

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Some of the use cases of OpenAI Swarm:

  • Use Swarm to study a compact historical orchestration design. Evaluate the maintained Agents SDK separately for a new production application.

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Popularity level: 37%

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