LangGraph
✓ VerifiedGraph-based framework for building stateful, multi-step AI agents
About
LangGraph is a specialized framework from LangChain for building stateful, multi-step AI agents with complex workflows. Using graph-based architecture, LangGraph enables branching logic, conditional workflows, and persistent state management. Perfect for building sophisticated AI agents that need to handle complex decision trees and multi-step reasoning with full control over execution flow.
Key Features
- ✓Graph-based agent architecture
- ✓Multi-step workflow orchestration
- ✓Stateful agent execution
- ✓Branching and conditional logic
- ✓Tool use integration
- ✓Human-in-the-loop support
- ✓Production-ready workflows
Use Cases
- →Complex multi-step AI agents
- →Stateful conversation systems
- →Workflow automation with branching
- →Decision tree AI systems
- →Advanced agentic applications
Technical Details
Languages
AI Models
Integrations
Frequently Asked Questions
What is LangGraph?
LangGraph is a specialized framework from LangChain for building stateful, multi-step AI agents with complex workflows. Using graph-based architecture, LangGraph enables branching logic, conditional workflows, and persistent state management. Perfect for building sophisticated AI agents that need to handle complex decision trees and multi-step reasoning with full control over execution flow.
Is LangGraph free?
Yes, LangGraph is open source and free to use. Full framework, Graph-based workflows, Stateful agents
What programming languages does LangGraph support?
LangGraph supports 2+ programming languages including Python, JavaScript/TypeScript.
What AI models does LangGraph use?
LangGraph is powered by Any LLM.
What platforms does LangGraph support?
LangGraph is available on All platforms.
What can LangGraph do?
LangGraph provides agentic/autonomous mode. Key features include: Graph-based agent architecture, Multi-step workflow orchestration, Stateful agent execution.
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