LangGraph
Free planStateful AI agent orchestration
An open-source orchestration framework for designing and deploying long-running, stateful AI agents as graph structures. With state persistence, human-in-the-loop, and short- and long-term memory, it controls complex multi-step agent workflows.
vs. similar tools: Its advantage is graph-based state persistence that enables pause-and-resume, rollback, and audit trails, making it strong for production agents.
Overview
At a glance
- Graph-based state persistence enables pause-resume and rollback
- Human-in-the-loop plus short/long-term memory for multi-step control
- MIT-licensed library, free to self-host
- Weak Korean support, so learning material leans English
- Managed runtime is billed separately on usage
- Best for: Dev teams that need fine control over stateful production agents
Read more
LangGraph is an open-source orchestration framework for designing and deploying long-running, stateful AI agents as graph structures. With state persistence, human-in-the-loop, and short- and long-term memory, it fits development teams that want to control complex multi-step workflows directly, beyond simple calls.
Its strength is control. With a control rating of 93, you can shape an agent's flow in fine detail, and graph-based state persistence makes it possible to pause and resume work, roll back, and keep an audit trail. An ecosystem rating of 92 means it is flexible whether used on its own or wired together with LangChain and LangSmith. Because it is an MIT-licensed library you can self-host it at no cost, which greatly lowers the barrier to entry.
That said, Korean support is on the weaker side, so docs and learning material are English-centric, and with an ease-of-use rating of 76 there is a learning curve to getting comfortable with graph concepts and state design. It is also worth knowing that using the managed deployment and runtime adds usage-based billing separate from the library.
Those who only want to prototype quickly or build agents without code are better off looking at simpler tools as well.
Pricing
| Plan | Monthly price | Limits |
|---|---|---|
| Open Source | $0/mo | MIT-licensed library, free to use |
| LangGraph Platform | - | - |
Specs
- API
- Yes
- Open source
- Yes
- Self-hosting
- Available
- Korean support
- Not supported
- Commercial use
- Allowed
Popularity
Buzz and recognition on absolute thresholds
Absolute-threshold score
78
High confidence6/6 signals
Each axis maps to a 1-10 absolute threshold where 10 means broadly recognizable. Collected: 2026-06-13.
Verified public benchmark: Widespread enterprise adoption by named companies reported at LangGraph v1.0 (as of 2025-11-01) Source
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Compare LangGraph
Last updated: 2026-05-30
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