OpenAI Swarm
An experimental multi-agent orchestration framework released by OpenAI for defining agent roles and responsibility boundaries, designing inter-agent communication protocols, and managing task decomposition, distribution, and result aggregation through a coordination layer.
Core Facts
Timeline (last 90 days)
Mainstream agent orchestration implementation approaches include rule-based static allocation (such as LangGraph) and LLM-based dynamic planning (such as AutoGen and OpenAI Swarm).
LangGraph, AutoGen, and OpenAI Swarm all provide different handoff primitives, but typically assume that all agents run within the same technology stack.
All Facts (3)
Currently mainstream AI Agent frameworks include LangChain, AutoGen, CrewAI, and others.
90%UnverifiedMainstream agent orchestration implementation approaches include rule-based static allocation (such as LangGraph) and LLM-based dynamic planning (such as AutoGen and OpenAI Swarm).
50%UnverifiedLangGraph, AutoGen, and OpenAI Swarm all provide different handoff primitives, but typically assume that all agents run within the same technology stack.
50%