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 · 67.4 / 100 LlamaIndex #3 in Frameworks · 64.4 / 100

Dimension	LangGraph	LlamaIndex
Agent Reality Index	67.4 / 100 (#2)	64.4 / 100 (#3)
Monthly search demand	~33k/mo	~12k/mo
Licensing	Open-source	Open-source
Developer adoption	39k★ on GitHub	54k★ on GitHub
Positioning	Low-level / composable · Single-agent	High-level / opinionated · Single-agent

The verdict

LangGraph and LlamaIndex are neck-and-neck on the Agent Reality Index (67.4 vs 64.4). The gap is small enough that the right pick comes down to fit rather than popularity: LangGraph is open-source, while LlamaIndex is open-source. Use the positioning row above to choose by how you actually want to work.

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 67.4 of 100 (ranked #2 in Frameworks) and LlamaIndex scores 64.4 of 100 (#3 in Frameworks). The index weights real-world demand most heavily and refreshes monthly.