LangGraph
LangGraph: Graph-based control for developers who need durable, stateful agent workflows. Ranked #2 of 49 in LLM Application Development Frameworks by our editors (9.2/10); pricing: Free plan; best for developers building durable, stateful agent workflows.
At a glance
- Editor score9.2 / 10
- PricingFree plan
- Best forDevelopers building durable, stateful agent workflows
- Free planYes
- Paid fromNone
- Facts checked25 Sep 2026
Where it wins
- Combines deterministic code and LLM-driven steps in graph workflows
- Supports durable execution, checkpointing, and resumption after failures
- Offers memory, streaming, and human review of agent state
Where it doesn't
- Low-level control requires developers to define workflow behavior
- Does not prescribe a high-level agent architecture
- Verified integrations are narrower than LangChain’s
Our verdict on LangGraph
LangGraph is an open-source framework and runtime for developers building long-running, stateful agents and workflows. Its graph model combines deterministic code with model-driven steps, and supports single-agent, multi-agent, and hierarchical control flows. It is designed for teams that need fine-grained control over agent behavior rather than a predefined agent architecture, and can be used independently of LangChain.
Durability and state management are central strengths. LangGraph provides persistence and checkpointing, with execution that can resume after failures. Developers can inspect and modify agent state through human-in-the-loop controls, and use short-term and long-term memory for stateful workflows. Token-by-token streaming is also supported. These capabilities suit processes that need to run over time or pause for human input; simpler applications that do not need workflow state or orchestration may not benefit from this level of control.
LangGraph is free and open-source, with API and self-hosted platform options. LangChain and LangSmith are the listed integrations; LangSmith can be added for tracing and debugging, while its published prices apply to that separate product, not LangGraph. The integration set is narrower than LangChain’s, so developers whose priority is a broader ecosystem may prefer to evaluate LangChain. Choose LangGraph when durable execution, state management, and explicit control flows matter; choose a higher-level approach when a predefined agent architecture is a better fit.
LangGraph pricing
LangGraph fact sheet
| Free plan | Yes |
|---|---|
| Paid from | None |
| Primary language | Not verified |
| RAG support | Not verified |
| Agent and tool use | Not verified |
| Workflow graphs | Not verified |
| Prompt optimization | Not verified |
| Open-source license | Not verified |
| JavaScript/TypeScript SDK | Not verified |
| Deployment | Self-hosted, Cloud |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 2 integrations: LangChain, LangSmith |
| Pricing | Free plan |
| Website | langchain.com |
| Facts checked | 25 Sep 2026 |
LangGraph integrations
LangGraph lists 2 integrations on its own site.
- LangChain
- LangSmith
Alternatives to LangGraph
- LangChainA self-hosted framework for LLM apps, retrieval workflows, and agents.9.4
- Microsoft Agent FrameworkAn open-source framework for multi-agent orchestration, with checkpoints and approval gates.9.1
- Spring AIA free, open-source Java framework for building RAG and AI applications in Spring.9.0
See all LangGraph alternatives →
LangGraph vs the competition
- LangGraph vs LangChain
- LangGraph vs Microsoft Agent Framework
- LangGraph vs Spring AI
- LangGraph vs Haystack
- LangGraph vs Apache Burr
- LangGraph vs Langflow
Compare LangGraph with any tool side by side →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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