LangGraph
Reviews
Star rating
Rank in AI SDK
Pros and cons
Pros
Cons
Traffic & LLM citations
Source: G2 review data
Key stats
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 51.4% |
| Mid-Market | 21.6% |
| Enterprise | 27.0% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|---|---|
| 2026 Q2 | 1 | 4.5 |
| 2026 Q3 | 35 | 4.4 |
Satisfaction ratings
What reviewers say
LangGraph Makes Building AI Workflows Step by Step Easy
“I like that LangGraph helps build AI workflows step by step. It makes it easier to manage tasks and connect different AI tools in one place.”
Clear, Connected AI Workflows with LangGraph
“LangGraph is its ability to structure an aI application as a clear workflow of connected steps rather than having all the logic inside one large prompt. It makes it easier o define individual agents or nodes for tasks such as validation ,decision makin data retrieval and final r”
Flexible and Powerful AI Agent Workflows
“LangGraph makes it straightforward to build and manage structured AI agent workflows. I especially like how flexible it is when it comes to controlling the flow between different steps, which helps keep complex AI applications well organized and makes them easier to debug, mainta”