Multi-Agent Orchestration
For workflows where multiple agents or tools hand off to one another. These frameworks model the control flow — graphs, roles, or crews — and manage the shared state that flows across steps.
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Agno
Agno
High-performance framework and runtime (AgentOS) for multi-agent systems
AutoGen
Microsoft
Microsoft's multi-agent conversation framework (maintenance-only; new work moved to Microsoft Agent Framework)
CrewAI
CrewAI
Role-based multi-agent orchestration — assemble a crew of agents with goals and tasks.
LangChain
LangChain
The original LLM-app framework — standard model/tool interfaces, hundreds of integrations, and the create_agent prebuilt that compiles to a LangGraph agent
LangGraph
LangChain
Graph-based orchestration for stateful, multi-step agents with branching, loops, and human-in-the-loop
OpenAI Agents SDK
OpenAI
OpenAI's lightweight SDK for agents with tools, handoffs, and guardrails
smolagents
Hugging Face
Hugging Face's minimal library for agents that act by writing and running code