LangGraph
Low-level orchestration framework for building stateful, long-running agents with human-in-the-loop controls
Overview
LangGraph is a low-level orchestration framework from LangChain for building stateful, long-running AI agents. Unlike simple chain-based approaches, LangGraph models agent workflows as graphs with nodes (actions) and edges (transitions), enabling complex multi-step reasoning with full control over execution flow. It provides durable execution that persists through failures, comprehensive memory management, and first-class human-in-the-loop support for reviewing and modifying agent state at any point. Trusted by companies like Klarna, LinkedIn, Elastic, and ServiceNow, LangGraph is designed for production-grade agents that need reliability and observability.
The Verdict
Who Should Use LangGraph?
Best For
- Building production-grade stateful agents
- Complex multi-step workflows with branching
- Teams needing human-in-the-loop controls
- Long-running tasks requiring durability
- Developers wanting fine-grained control
Not Ideal For
- Simple chatbots (use LangChain directly)
- No-code builders (try CrewAI Studio)
- Quick prototypes (steeper learning curve)
- Teams without Python/TS experience
What's Great
- Durable execution persists through failures
- First-class human-in-the-loop support
- Graph-based control flow is highly flexible
- Comprehensive state management and memory
- Works with any LLM provider
- Strong LangSmith integration for debugging
- Active community and extensive docs
Watch Out For
- Steeper learning curve than alternatives
- Verbose code for simple use cases
- Cloud platform adds cost for deployment
- Breaking changes between versions
- Debugging complex graphs can be challenging
Pricing
View all features & details
Core Features
- Graph-based workflow orchestration
- Durable execution with auto-resume
- Human-in-the-loop interrupts
- Short-term and long-term memory
- State persistence and checkpointing
- Conditional branching and cycles
- Subgraphs for modular design
- Streaming support
Languages & SDKs
- Python (primary)
- TypeScript/JavaScript
- REST API for deployment
Integrations
- LangSmith observability
- LangChain components
- Any LLM provider (OpenAI, Anthropic, etc.)
- LangSmith Deployment platform
- Deep Agents (higher-level package)
Enterprise Features
- SSO/SAML authentication
- Role-based access control
- Dedicated infrastructure
- Priority support
- Custom SLAs
Real-World Usage
Community Stats
- 5,600+ forks
- 560+ open issues
- Active LangChain Forum
- Free LangChain Academy course
Production Users
- Klarna - Financial services
- LinkedIn - Professional networking
- Elastic - Search & observability
- ServiceNow - Enterprise workflows
- Uber - Transportation platform
How It Compares
| Feature | LangGraph | LangChain | CrewAI | AutoGen |
|---|---|---|---|---|
| GitHub Stars | 33.7K | 138K | 52.7K | 58.6K |
| Approach | Graph-based | Chain-based | Role-based | Conversation |
| State Management | Built-in | Limited | Basic | Basic |
| Human-in-the-Loop | First-class | Manual | Basic | Basic |
| Learning Curve | Steeper | Moderate | Easy | Moderate |
| Flexibility | Highest | High | Medium | Medium |
| Best For | Complex agents | LLM chains | Multi-agent teams | Chat agents |
| License | MIT | MIT | MIT | CC-BY-4.0 |