Agent Orchestration Frameworks
LangChain, LlamaIndex, CrewAI, AutoGen, AG2
Agent and RAG frameworks (LangChain, LlamaIndex, CrewAI, Microsoft AutoGen) are the application-layer glue enterprises use to build vertical AI apps. They sit above models and below verticals, defining how retrieval, tool use, and multi-agent orchestration get wired into production systems.
Examples
LangChain, LlamaIndex, CrewAI
Layer
Application orchestration
How it fits the stack
Agent Orchestration Frameworks with what it depends on (above) and what it feeds (below). The figure renders as a crawlable diagram and upgrades to an interactive 3D graph as it scrolls into view.
Agent Orchestration Frameworks in the AI stack. Agent Orchestration Frameworks with its immediate upstream dependencies (top) and downstream dependents (bottom) in the AI value chain. Hover a node in 3D, or read the full relationships below.
Graph data (text) — 4 entities, 3 relationships
- Agent Orchestration Frameworks —uses→ Model Context Protocol (MCP)
- Agent Orchestration Frameworks —depends on→ Vector databases
- Salesforce Agentforce —uses→ Agent Orchestration Frameworks
Depends on ↑ · 2