LangGraph vs pydantic-ai
LangGraph and pydantic-ai are both agent frameworks. LangGraph is LangChain's low-level orchestration framework for stateful, controllable agents, while pydantic-ai is aI Agent Framework, the Pydantic way. 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.
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LangGraph and pydantic-ai take different routes to the same job: one is a commercial product, the other open-source and self-hostable. Choose based on whether you want a managed experience or full control.
Side by side
| Spec | LangGraph | pydantic-ai |
|---|---|---|
| Type | Framework | Framework |
| Model | Commercial | Open source |
| Pricing | Freemium | Open source |
| GitHub stars | — | 18,299 |
| Language | — | Python |
| License | — | MIT |
| Last activity | — | Jul 2026 |
Key differences
- LangGraph is a commercial product; pydantic-ai is open-source and self-hostable.
- Pricing model differs — LangGraph is freemium, pydantic-ai is open source.
Production agents that need controllable, stateful, graph-based orchestration..
Python teams that want type-safe agent development with the Pydantic philosophy..
About LangGraph
LangChain's low-level orchestration framework for stateful, controllable agents.
Full LangGraph profile →Frequently asked
- What's the main difference between LangGraph and pydantic-ai?
- LangGraph is a commercial product; pydantic-ai is open-source and self-hostable.
- Is LangGraph or pydantic-ai better?
- Neither is universally better. LangGraph is the stronger fit for Production agents that need controllable, stateful, graph-based orchestration; pydantic-ai for Python teams that want type-safe agent development with the Pydantic philosophy. Use the side-by-side specs to decide by your own constraints.
- Is LangGraph or pydantic-ai free?
- LangGraph is free to start (freemium), with paid tiers; pydantic-ai is free to run and self-host.
- Which is more popular, LangGraph or pydantic-ai?
- We rank open-source projects by GitHub adoption, but at least one of these is a commercial product and stars don't measure commercial adoption — so compare them on capabilities and pricing instead.
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