A guide to building long-term compounding knowledge infrastructure. See details on GitHub .

Swarm

Swarm is an experimental, educational library from OpenAI for lightweight multi-agent orchestration and execution.

Overview

Swarm is an experimental, educational toolkit from OpenAI for exploring lightweight multi-agent orchestration. It focuses on client-side coordination of Agents and handoffs, offering primitives to build workflows composed of Agents, instructions, and functions.

Key features

  • Lightweight Agent abstraction with instructions and callable functions.
  • Function calling and handoffs to coordinate multi-agent workflows.
  • Multiple example projects (triage, weather, airline, etc.) for quick experimentation and evaluation.

Use cases

  • Learning and prototyping multi-agent coordination and orchestration.
  • Local testing and strategy validation without relying on server-side state.

Technical details

  • Implemented in Python (requires Python 3.10+).
  • Uses the Chat Completions API as the execution backend and does not persist state between runs.
  • Converts Python functions to JSON Schema to support tool calling and parameter validation.

Comments

Swarm
Resource Info
🌱 Open Source 🤖 Agent Framework