AI Agent Orchestrators
Build autonomous AI agents that research, decide, and act. Compare the leading frameworks for multi-agent orchestration.
| Framework | Type | Language | Complexity | License |
|---|---|---|---|---|
| CrewAI | Multi-Agent Framework | Python | Medium | MIT |
| LangChain | LLM Framework | Python / JS | High | MIT |
| LangGraph | Stateful Agent Graph | Python / JS | High | MIT |
| AutoGen | Multi-Agent Conversation | Python | Medium | MIT |
| n8n | Visual Workflow Automation | TypeScript | Low | Fair-code |
| LlamaIndex | Data Framework for LLMs | Python / JS | Medium | MIT |
Framework Details
CrewAI
Multi-Agent FrameworkRole-based agents with goals and backstories collaborate on tasks
An open-source Python framework for building multi-agent AI systems. CrewAI orchestrates autonomous agents with roles, goals, and tools into collaborative crews — plus an enterprise AMP platform for visual no-code agent deployment.
LangChain
LLM FrameworkChains, tools, memory, retrieval — modular building blocks for LLM apps
Open-source framework for building LLM-powered applications. Chains, agents, RAG, and tool use with any model provider.
LangGraph
Stateful Agent GraphGraph-based workflows with cycles, branching, and persistent state
LangGraph orchestrates LLM applications as stateful, cyclic graphs, enabling developers to build complex AI agents. It targets engineers creating multi-step LLM workflows. Its key differentiator is explicit state management for robust AI systems.
AutoGen
Multi-Agent ConversationMicrosoft's framework for multi-agent conversations with human-in-the-loop
Microsoft's open-source framework for building multi-agent AI systems. Enables conversational agents that collaborate to solve tasks.
n8n
Visual Workflow AutomationDrag-and-drop workflow builder with 400+ integrations and AI nodes
The open-source workflow automation tool that lets you self-host for free with unlimited executions. 400+ nodes, native AI agents with LangChain and RAG, and a learning curve that filters out the non-technical.
LlamaIndex
Data Framework for LLMsConnect LLMs to your data: indexing, retrieval, query engines
LlamaIndex is a data framework for LLM applications, connecting custom data sources to large language models. It targets AI/ML developers. Its key differentiator is simplifying data ingestion and retrieval for LLM-powered knowledge bases.
Which Orchestrator Should You Use?
"I want role-based agents that collaborate"
→ CrewAI — define agents with roles, goals, backstories. They work together.
"I want human-in-the-loop agent conversations"
→ AutoGen — Microsoft's framework for multi-agent + human collaboration.
"I'm not a developer, I want visual workflows"
→ n8n — drag-and-drop, 400+ integrations, self-hostable.
"I need to connect LLMs to my documents/data"
→ LlamaIndex — indexing, retrieval, RAG pipelines.