What's the main difference between LlamaIndex and MetaGPT?

Both are agent frameworks built for a similar job; the differences are subtle — compare them on adoption, language, and license in the table above.

Is LlamaIndex or MetaGPT better?

Neither is universally better. LlamaIndex is the stronger fit for Retrieval-heavy applications where the hard part is getting your own documents and data into an agent reliably; MetaGPT for Experimenting with role-based multi-agent collaboration for software and document generation. Use the side-by-side specs to decide by your own constraints.

Is LlamaIndex or MetaGPT free?

LlamaIndex is free to run and self-host; MetaGPT is free to run and self-host. Both are free to self-host — you only pay for the infrastructure and any model or API usage.

Which is more popular, LlamaIndex or MetaGPT?

By GitHub stars — a proxy for open-source adoption — MetaGPT is ahead (71k vs 52k). Stars measure attention, not necessarily the better fit for you.

Agent Frameworks · Head-to-head

LlamaIndex vs MetaGPT

LlamaIndex and MetaGPT are both agent frameworks. LlamaIndex is Framework for connecting LLMs and agents to your own documents and data, while MetaGPT is a multi-agent framework that assigns software-company roles to LLM agents to turn a requirement into a project. Here's an independent, side-by-side look at how they compare — and which fits.

LlamaIndex

Framework· Open source

Framework for connecting LLMs and agents to your own documents and data.

Visit LlamaIndex →

MetaGPT

Framework· Open source

A multi-agent framework that assigns software-company roles to LLM agents to turn a requirement into a project.

Visit MetaGPT →

Bottom line

LlamaIndex and MetaGPT are both open-source agent frameworks you can self-host for free. They're closely matched, so the choice comes down to language, license, and which approach fits your workflow. Neither is universally better — pick by fit.

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Side by side

Spec	LlamaIndex	MetaGPT
Type	Framework	Framework
Model	Open source	Open source
Pricing	Open source	Open source
GitHub stars	52,289	70,570
Language	—	Python
License	MIT	MIT
Last activity	Sep 2026	Jan 2026

Choose LlamaIndex if

Retrieval-heavy applications where the hard part is getting your own documents and data into an agent reliably.

Choose MetaGPT if

Experimenting with role-based multi-agent collaboration for software and document generation.

About LlamaIndex

LlamaIndex provides ingestion, indexing, retrieval and query engines for building RAG and agent applications over private data, plus workflow primitives for multi-step agents. The open-source Python framework is MIT licensed; LlamaCloud and LlamaParse are the company's separate hosted, paid services.

Full LlamaIndex profile →

About MetaGPT

MetaGPT assigns different roles, such as product manager, architect, project manager and engineer, to LLM agents that collaborate on complex tasks. From a one-line requirement it produces user stories, competitive analysis, requirements, data structures, APIs and documents. The team behind it also publishes research such as AFlow and runs the commercial MGX product.

Full MetaGPT profile →

Frequently asked

What's the main difference between LlamaIndex and MetaGPT?: Both are agent frameworks built for a similar job; the differences are subtle — compare them on adoption, language, and license in the table above.
Is LlamaIndex or MetaGPT better?: Neither is universally better. LlamaIndex is the stronger fit for Retrieval-heavy applications where the hard part is getting your own documents and data into an agent reliably; MetaGPT for Experimenting with role-based multi-agent collaboration for software and document generation. Use the side-by-side specs to decide by your own constraints.
Is LlamaIndex or MetaGPT free?: LlamaIndex is free to run and self-host; MetaGPT is free to run and self-host. Both are free to self-host — you only pay for the infrastructure and any model or API usage.
Which is more popular, LlamaIndex or MetaGPT?: By GitHub stars — a proxy for open-source adoption — MetaGPT is ahead (71k vs 52k). Stars measure attention, not necessarily the better fit for you.

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