Open-Source AI · AI agent framework

LangGraph vs MetaGPT

LangGraph vs MetaGPT compared for 2026 — features, license, ease of use, performance and which one to choose. Stateful, controllable agent graphs vs A software company of LLM agents.

Updated regularly · curated by olud.ai

Choose LangGraph for developers needing controllable agent workflows. Choose MetaGPT for turning specs into multi-file projects.

LangGraph vs MetaGPT at a glance

SpecLangGraphMetaGPT
CategoryAI agent frameworkAI agent framework
TypeAgent orchestration (graphs)Multi-agent framework
LicenseMITMIT
Runs locallyCloud-optionalCloud-optional
Primary languagePython / JSPython
Ease of useAdvancedAdvanced
Best fordevelopers needing controllable agent workflowsturning specs into multi-file projects
GitHub stars37.8k

How LangGraph and MetaGPT score

🏆 Overall edge: LangGraph — 4.0 vs 3.7 / 5
CriterionLangGraphMetaGPT
Popularity4.0n/a
Maintenance5.0n/a
Ease of use2.52.5
Privacy3.53.5
License freedom5.05.0

Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.

What each one is

LangGraph

Agent orchestration (graphs) · MIT

LangGraph is a library for building stateful, controllable agents as graphs, giving you fine-grained control over loops, branching and persistence.

  • Explicit, controllable agent state machines
  • Persistence and human-in-the-loop built in
  • Integrates with the LangChain ecosystem
See the LangGraph page →

MetaGPT

Multi-agent framework · MIT

MetaGPT assigns roles like product manager, architect and engineer to multiple LLM agents that collaborate to turn one line of requirements into code, docs and diagrams.

  • Role-based multi-agent collaboration
  • Generates code, docs and diagrams together
  • Large, active community
Visit MetaGPT →

Key differences

LangGraph is agent orchestration (graphs), while MetaGPT is multi-agent framework. In short, LangGraph fits developers needing controllable agent workflows, and MetaGPT fits turning specs into multi-file projects.

Which should you choose?

Choose LangGraph for developers needing controllable agent workflows. Choose MetaGPT for turning specs into multi-file projects.

There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.

Frequently asked questions

Is LangGraph or MetaGPT easier to use?

Both sit at a similar level (Advanced). Your choice should come down to fit rather than difficulty.

Are LangGraph and MetaGPT free?

LangGraph is free and open source (MIT), and MetaGPT is free and open source (MIT). Neither charges for the core software.

Can I run LangGraph and MetaGPT locally?

LangGraph: cloud-optional · MetaGPT: cloud-optional. Both can be used without sending your data to a third-party cloud where their setup allows.

LangGraph vs MetaGPT — which should I pick in 2026?

Choose LangGraph for developers needing controllable agent workflows. Choose MetaGPT for turning specs into multi-file projects.

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