LangGraph vs LlamaIndex
How LangGraph and LlamaIndex compare on real-world demand, licensing, adoption and positioning — straight from the Agent Reality Index.
| Dimension | LangGraph | LlamaIndex |
|---|---|---|
| Agent Reality Index | 64.0 / 100 (#2) | 60.2 / 100 (#4) |
| Monthly search demand | ~33k/mo | ~8.1k/mo |
| Licensing | Open-source | Open-source |
| Developer adoption | 38k★ on GitHub | 53k★ 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 (64.0 vs 60.2). 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 →