Software profileLangGraph at a glance.
LangGraph is LangChain's free, MIT-licensed open-source orchestration framework and runtime for building long-running, stateful AI agents with durable execution, streaming, memory and human-in-the-loop control.
Lorezi score4.55/5
PricingFree
Free planAvailable
DeveloperLangChain
Decision summary
What matters first about LangGraph.
LangGraph is LangChain's free, MIT-licensed open-source orchestration framework and runtime for building long-running, stateful AI agents with durable execution, streaming, memory and human-in-the-loop control.
Lorezi score4.55/5Summary score; review the four dimensions below.
PriceFree
Best forAI Engineers
Think twice ifSteep learning curve for developers new to graph-based logic
Research freshnessCurrent
Last researchedOct 02, 2026
Scores summarize Lorezi's evaluation. Use the dimension breakdown and evidence to understand the trade-offs. See methodology and weighting.
Research freshness
Current
How current is this profile?
Research evidence is within Lorezi's 90-day freshness window.
Last researchedOct 02, 2026
Re-check byDec 31, 2026
Review updatedOct 02, 2026
Pricing
Checked
How does LangGraph charge?
Lorezi independently checked this pricing on Oct 02, 2026.
Model
Free
Starting point
Free
Billing basis
Free access
Pricing checked
Oct 02, 2026
Evaluation
How LangGraph performs.
Four consistent dimensions turn the headline score into a transparent product evaluation.
Editorial verdict
The decision on LangGraph.
Where it fits best.
- AI Engineers
- Software Developers
- Data Scientists
- Enterprise AI Teams
Practical jobs to consider.
- Apply Cyclic graph execution for iterative agent reasoning in a real workflow
- Apply Built-in persistence layer for state management in a real workflow
- Apply Human-in-the-loop interaction support in a real workflow
- Apply Streaming support for real-time token generation in a real workflow
- Apply Time-travel debugging and state inspection in a real workflow
- Connect tools and data across workflows
- Apply Customizable state schemas for complex workflows in a real workflow
- Work with teammates on shared projects
Trade-offs
Strengths and limitations together.
A useful software decision should show what stands out and what deserves caution in the same view.
Where LangGraph stands out.
- Excellent support for complex, cyclic agent workflows
- Robust state management and persistence capabilities
- Seamless integration with the broader LangChain ecosystem
- Powerful debugging tools for tracing agent decisions
What to weigh carefully.
- Steep learning curve for developers new to graph-based logic
- Requires significant boilerplate for simple use cases
- Documentation can be dense for beginners
What can I do with LangGraph?
- Apply cyclic graph execution for iterative agent reasoning with LangGraph
- Apply built-in persistence layer for state management with LangGraph
- Apply human-in-the-loop interaction support with LangGraph
- Apply streaming support for real-time token generation with LangGraph
- Apply time-travel debugging and state inspection with LangGraph
- Connect this capability to other tools and workflows with LangGraph
- Apply customizable state schemas for complex workflows with LangGraph
- Collaborate on projects with other people using LangGraph
Useful starting prompts.
- Model a LangGraph customer-support flow with classify, retrieve, draft, human review and final response nodes.
- Define a typed state schema for [order-assistance agent] that tracks user intent, verified facts and pending decisions.
- Add conditional edges that route [sensitive account request] to human review instead of automated execution.
- Use a checkpointer to resume [long-running graph] after interruption without redoing approved actions.
- Design a retry policy for [unreliable API node] with bounded attempts and logged failure outcomes.
- Simulate a LangGraph interrupt at [approval step] and verify that resuming does not repeat a payment or write.
- Write tests for two cyclic paths that revisit [research node] but terminate after an explicit iteration limit.
- Plan a multi-agent graph that divides [research] and [drafting] while preventing circular delegation.
Expert review
Read the full LangGraph review.
The long-form editorial review lives on its own page, separate from this concise software profile.
LangGraph Review (2026): Features, Pricing, Pros & Cons
LangGraph is LangChain's free, MIT-licensed open-source orchestration framework and runtime for building long-running, stateful AI agents with durable execution, streaming, memory and human-in-the-loop control.
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