Frameworks

LangGraph vs LlamaIndex

TL;DR

How LangGraph and LlamaIndex compare on real-world demand, licensing, adoption and positioning — straight from the Agent Reality Index.

Agent Reality Index

LangGraph#2 in Frameworks · 67.1 / 100 LlamaIndex#3 in Frameworks · 61.7 / 100

Dimension	LangGraph	LlamaIndex
Agent Reality Index	67.1 / 100 (#2)	61.7 / 100 (#3)
Monthly search demand	~33k/mo	~4.9k/mo
Licensing	Open-source	Open-source
Developer adoption	48k★ on GitHub	56k★ on GitHub
Positioning	Low-level / composable · Single-agent	High-level / opinionated · Single-agent

The verdict

LangGraph leads LlamaIndex on the Agent Reality Index (67.1 vs 61.7), driven mainly by stronger real-world search demand — the heaviest factor in the index. LlamaIndex remains a credible choice where its positioning fits your workflow better; the row above shows where the two diverge.

Figures auto-generated from the Agent Reality Index and refreshed monthly. How the index is built →

Frequently asked questions

What is the difference between LangGraph and LlamaIndex?

How LangGraph and LlamaIndex compare on real-world demand, licensing, adoption and positioning — straight from the Agent Reality Index.

Is LangGraph or LlamaIndex better?

How do LangGraph and LlamaIndex compare on the Agent Reality Index?

On the Agent Reality Index, LangGraph scores 67.1 of 100 (ranked #2 in Frameworks) and LlamaIndex scores 61.7 of 100 (#3 in Frameworks). The index weights real-world demand most heavily and refreshes monthly.