Agent Frameworks · Head-to-head
LangGraph vs MetaGPT
LangGraph and MetaGPT are both agent frameworks. LangGraph is LangChain's low-level orchestration framework for stateful, controllable agents, 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.
LangChain's low-level orchestration framework for stateful, controllable agents.
Visit LangGraph →
A multi-agent framework that assigns software-company roles to LLM agents to turn a requirement into a project.
Visit MetaGPT →LangGraph and MetaGPT are both open-source agent frameworks you can self-host for free. MetaGPT has wider GitHub adoption — 71k stars vs 42k. Neither is universally better — pick by fit.
Side by side
| Spec | LangGraph | MetaGPT |
|---|---|---|
| Type | Framework | Framework |
| Model | Open source | Open source |
| Pricing | Open source | Open source |
| GitHub stars | 42,167 | 70,570 |
| Language | Python | Python |
| License | MIT | MIT |
| Last activity | Sep 2026 | Jan 2026 |
Key differences
- MetaGPT has wider GitHub adoption — 71k stars vs 42k.
Production agents that need controllable, stateful, graph-based orchestration.
Experimenting with role-based multi-agent collaboration for software and document generation.
About LangGraph
LangGraph is LangChain's open-source, low-level orchestration framework for long-running, stateful agents. It provides durable execution that resumes where it left off after failures, human-in-the-loop inspection and editing of agent state, short-term and long-term memory, and deployment infrastructure, with LangSmith for tracing. Deep Agents is a higher-level package built on it, and LangGraph.js covers JavaScript and TypeScript.
Full LangGraph 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 LangGraph and MetaGPT?
- MetaGPT has wider GitHub adoption — 71k stars vs 42k.
- Is LangGraph or MetaGPT better?
- Neither is universally better. LangGraph is the stronger fit for Production agents that need controllable, stateful, graph-based orchestration; 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 LangGraph or MetaGPT free?
- LangGraph 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, LangGraph or MetaGPT?
- By GitHub stars — a proxy for open-source adoption — MetaGPT is ahead (71k vs 42k). Stars measure attention, not necessarily the better fit for you.
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