AgentScout / Compare / LlamaIndex vs LangGraph

LlamaIndex vs LangGraph: Which AI Agent Is Better in 2026?

Two closely related frameworks tools, side by side. Everything here comes from our directory listing; pricing is as each maker states it. Both are listed for: build an agent.

LlamaIndex logoLlamaIndexLangGraph logoLangGraph
DescriptionFramework for agents over your data (RAG, document agents).Framework for stateful, graph-based agent workflows.
Pricing modelOpen source + cloudOpen source
Open sourceYesYes
Key featuresRAG and document-agent framework; LlamaParse enterprise parsing; Free LiteParse parserLow-level orchestration for stateful agents; Durable execution; Python and JS/TS versions
Best forAgents that work over your own data: RAG and document agentsStateful, graph-based agent workflows with explicit control flow
Categoryframeworksframeworks
AudienceFor buildersFor builders
Pricing (as stated)Open source + paid cloudOpen source
MaturityMatureMature
GitHub stars52,48543,237
Use casesbuild an agentbuild an agent, automate workflows
Link checked2026-10-142026-10-14
Official siteVisit ↗Visit ↗

We don't run benchmarks. The recommendation below is based on the listing facts in this table, not on testing. Check each official site for current pricing and features before you choose.

Our recommendation

Choose LlamaIndex if your agent's main job is working over your data (RAG, document agents). There is also a paid cloud on top of the open-source framework.

Choose LangGraph if your main need is orchestrating a multi-step, stateful agent workflow as a graph.

FAQ

What is the difference between LlamaIndex and LangGraph?

LlamaIndex: Framework for agents over your data (RAG, document agents). LangGraph: Framework for stateful, graph-based agent workflows.

Is LlamaIndex or LangGraph open source?

LlamaIndex: Yes. LangGraph: Yes. Pricing as each maker states it: LlamaIndex, Open source + paid cloud; LangGraph, Open source.

Should I choose LlamaIndex or LangGraph?

Choose LlamaIndex if your agent's main job is working over your data (RAG, document agents). There is also a paid cloud on top of the open-source framework. Choose LangGraph if your main need is orchestrating a multi-step, stateful agent workflow as a graph.

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