langgraph
by vanman2024v1.0.0
LangGraph stateful graph orchestration for complex LLM workflows with persistence and human-in-the-loop
Commands
addAdd LangGraph feature to existing workflow. Features include node, conditional, checkpoint, human-loop.
buildBuild complete LangGraph workflow with state management, nodes, and persistence
Documentation
# LangGraph Plugin LLM-native graph orchestration for complex stateful workflows. ## Features - **State Machine Workflows** - Define complex flows as graphs - **Durable Execution** - Persist state across runs - **Human-in-the-Loop** - Interrupt for approval/input - **Conditional Branching** - Dynamic flow control - **Checkpointing** - Save and restore state - **Streaming** - Real-time node outputs ## Quick Start ```bash # Build complete LangGraph workflow /langgraph:build my-workflow # Add specific features /langgraph:add node # Add a graph node /langgraph:add conditional # Add conditional edge /langgraph:add checkpoint # Add state persistence /langgraph:add human-loop # Add human interruption ``` ## When to Use LangGraph Use LangGraph when you need: - Multi-step reasoning with state - Human approval in AI workflows - Retry/branching logic - Persistent conversation state - Complex agent orchestration ## Agents - `graph-architect` - Workflow design and structure - `node-specialist` - Node implementation - `state-specialist` - State management and persistence ## Documentation - [LangGraph Docs](https://langchain-ai.github.io/langgraph/) - [LangGraph JS](https://langchain-ai.github.io/langgraphjs/)