Framework comparison - verified
LlamaIndex (agent workflows) vs LangGraph
LlamaIndex (agent workflows) (LlamaIndex) and LangGraph (LangChain Inc), compared field by field from their official docs as of October 18, 2026. Their docs differ on 5 points, listed below; the table also shows versions, install commands and links.
Key differences
- Languages: LangGraph lists TypeScript and LlamaIndex (agent workflows) does not.
- MCP: LlamaIndex (agent workflows) documents it; LangGraph does not state it in its docs.
- Structured output: LlamaIndex (agent workflows) documents it; LangGraph does not state it in its docs.
- Evals: LlamaIndex (agent workflows) documents it; LangGraph does not state it in its docs.
- Model-agnostic: LlamaIndex (agent workflows) documents it; LangGraph does not state it in its docs.
Generated from the fields below that differ. Versions, dates and links are left to the table.
Side by side
Every field we track, with the source linked on each value. Rows marked Differs are where the two frameworks' docs differ.
| Field | LlamaIndex (agent workflows) | LangGraph |
|---|---|---|
| MaintainerDiffers | LlamaIndex | LangChain Inc |
| LanguagesDiffers | Python | Python, TypeScript |
| License | MIT | MIT |
| Latest versionsDiffers | Python: llama-index 0.14.25 (2026-09-21); Python: llama-index-workflows 2.26.0 (2026-10-11) | Python: langgraph 1.2.16 (2026-10-16); TypeScript: @langchain/langgraph 1.5.1 (2026-10-16) |
| MCPDiffers | Yes | Not stated |
| Multi-agent | Yes | Yes |
| Durable execution | Yes | Yes |
| Human in the loop | Yes | Yes |
| Streaming | Yes | Yes |
| Structured outputDiffers | Yes | Not stated |
| Tracing | Yes | Yes |
| Memory | Yes | Yes |
| EvalsDiffers | Yes | Not stated |
| Model-agnosticDiffers | Yes | Not stated |
| Install commands listedDiffers | 2 (Python) | 3 (Python and TypeScript) |
| Quickstart snippet | Python snippet published | Python snippet published |
| What it is, per its docsDiffers | LlamaIndex is an open-source framework for building agentic applications whose Agent Workflows provide an event-driven, step-based way to control execution, alongside prebuilt agents such as FunctionAgent and the multi-agent AgentWorkflow. | LangGraph is a low-level orchestration framework and runtime from LangChain Inc for building, managing, and deploying long-running, stateful agents, and it can be used with or without LangChain. |
| HomepageDiffers | llamaindex.ai | docs.langchain.com/oss/python/langgraph/overview |
| Source repositoryDiffers | github.com/run-llama/llama_index | github.com/langchain-ai/langgraph |
Install both
Copied verbatim from the page linked under each command.
LlamaIndex (agent workflows)
Python
pip install llama-indexSource: developers.llamaindex.ai/python/framework/getting_started/installation
pip install llama-index-core llama-index-llms-openai python-dotenvSource: developers.llamaindex.ai/python/framework/understanding/agent
LangGraph
Python
pip install -U langgraphuv add langgraphTypeScript
npm install @langchain/langgraph @langchain/coreFAQ
What is the difference between LlamaIndex (agent workflows) and LangGraph?
Going by their official docs: Languages: LangGraph lists TypeScript and LlamaIndex (agent workflows) does not. MCP: LlamaIndex (agent workflows) documents it; LangGraph does not state it in its docs. Structured output: LlamaIndex (agent workflows) documents it; LangGraph does not state it in its docs. Evals: LlamaIndex (agent workflows) documents it; LangGraph does not state it in its docs. The table lists 1 more.
Do LlamaIndex (agent workflows) and LangGraph both support MCP?
LlamaIndex (agent workflows): yes. LangGraph: not stated. "Not stated" means the docs do not say.
Which languages do LlamaIndex (agent workflows) and LangGraph support?
LlamaIndex (agent workflows): Python. LangGraph: Python, TypeScript. Both list Python.
What licenses do LlamaIndex (agent workflows) and LangGraph use?
LlamaIndex (agent workflows): MIT. LangGraph: MIT.
Do LlamaIndex (agent workflows) and LangGraph support durable execution and human in the loop?
Durable execution: LlamaIndex (agent workflows) yes, LangGraph yes. Human in the loop: LlamaIndex (agent workflows) yes, LangGraph yes. "Not stated" means the docs do not say.
What are the latest versions of LlamaIndex (agent workflows) and LangGraph?
As of October 18, 2026: LlamaIndex (agent workflows) Python package llama-index 0.14.25 (September 21, 2026) and Python package llama-index-workflows 2.26.0 (October 11, 2026); LangGraph Python package langgraph 1.2.16 (October 16, 2026) and TypeScript package @langchain/langgraph 1.5.1 (October 16, 2026).
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