OpenAI Swarm Tutorial: Get Started in 5 Minutes [2026]

What it does:

Pioneered the foundational Agent class pattern combining instructions with executable functions, directly influencing modern frameworks including the OpenAI Agents SDK and establishing industry standards for agent definition.

Use case:

What it does:

Introduced explicit handoff functions for seamless agent-to-agent task transfer, creating the coordination model that underpins production multi-agent systems and teaching developers when and how to transfer control between specialized agents.

Use case:

What it does:

Demonstrated the importance of explicit state management through intentionally stateless design, helping developers understand why production frameworks include persistence layers and when stateless vs stateful execution is appropriate.

Use case:

What it does:

Implemented simple dictionary-based context passing that teaches fundamental inter-agent communication patterns, serving as the foundation for understanding sophisticated context management in modern production frameworks.

Use case:

What it does:

Provided comprehensive educational examples covering customer service, shopping assistance, and support scenarios that serve as templates for understanding agent coordination patterns still relevant in contemporary implementations.

Use case:

What it does:

Showcased unabstracted OpenAI Chat Completions API usage, helping developers understand the underlying mechanics that production frameworks build upon, valuable for debugging, optimization, and custom implementations.

Use case: