
OpenAI Swarm is an educational Python framework for function tools and agent handoffs, superseded by the separate OpenAI Agents SDK.
OpenAI Swarm is an educational Python framework for function tools and agent handoffs, superseded by the separate OpenAI Agents SDK.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
OpenAI Swarm is an educational Python framework for function tools and agent handoffs, superseded by the separate OpenAI Agents SDK.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
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]
The source remains accessible, but maintainers recommend the Agents SDK for production. Developers configure Python, model access, tools and message history themselves.[1]
Swarm uses Chat Completions and developer-written Python functions. External services require your own function implementations and credentials.[1]
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]
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 Avoid budgeting a new production service around a superseded educational package.[1]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]
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.
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