LangGraph vs MetaGPT
Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.
Direct Answer
LangGraph suits teams needing open-source access, typescript focus, and 40,209 GitHub stars in current listing data. MetaGPT suits teams needing open-source access, role based focus, and 69,942 GitHub stars in current listing data. This summary reflects catalog metadata only for decision support, not independent testing.
What this comparison weighs
- Pricing and free-tier availability
- License model and deployment fit
- GitHub adoption and contributor depth
- Catalog tags, integrations, and supported workflows
| Metric | LangGraph | MetaGPT |
|---|---|---|
| GitHub Stars | 40.2K | 69.9K |
| Contributors | 278 | 116 |
| Last Commit | Aug 22, 2026 | Jan 21, 2026 |
| Open Issues | 708 | 131 |
| License | open-source | open-source |
| Pricing | open-source | open-source |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
Choose LangGraph if you need
- • LangGraph stands out for Typescript workflows that are not listed for MetaGPT.
- • LangGraph is the stronger pick when Graph matters because that capability is listed only on its profile.
- • LangGraph has a larger visible contributor base (278 vs 116).
Choose MetaGPT if you need
- • MetaGPT is the stronger pick when Role Based matters because that capability is listed only on its profile.
- • MetaGPT shows broader GitHub adoption with 69,942 stars versus 40,209 for LangGraph.
- • MetaGPT is the cleaner fit if you specifically need Software Engineering workflows from the catalog tags.
Meaningful differences
- • Workflow emphasis: LangGraph highlights Typescript, while MetaGPT highlights Python.
- • GitHub adoption: LangGraph shows 40,209 stars versus 69,942 for MetaGPT.
- • Contributor count: LangGraph lists 278 contributors and MetaGPT lists 116.
Shared capabilities
- • Multi Agent
- • Python
- • Open Source
Shared Tags
Only in LangGraph
Only in MetaGPT
Limitations and evidence
- • DeepYard compares structured public metadata; this is not an independent benchmark unless a test record is shown.
- • Signals such as stars, contributors, and last commit indicate public activity, not purchase fit or runtime quality.
- • Pricing and feature coverage reflect the stored listing snapshot and may lag vendor changes between refreshes.
About LangGraph
LangGraph is LangChain's framework for building stateful, multi-actor agent applications as graphs. Define agents as nodes and their interactions as edges, with built-in persistence, streaming, human-in-the-loop, and time-travel debugging. The standard for production agent orchestration in the LangChain ecosystem.
View full listingAbout MetaGPT
MetaGPT assigns different roles to agents (product manager, architect, engineer, QA) to form a collaborative software team. Given a one-line requirement, it outputs user stories, competitive analysis, requirements, data structures, APIs, and complete code. Pioneered the multi-agent collaboration pattern for software development.
View full listing