LangGraph is a low-level Agent Orchestration Framework and Agent Runtime designed for building controllable, stateful, and reliable Large Language Model (LLM) agents. The framework provides developer control over agentic workflows by representing interactions as nodes and edges within a Cyclic Graph, enabling the creation of complex, multi-turn, and multi-agent systems.

Key Capabilities

Orchestration & Control: The framework uses low-level primitives to define custom agent architectures, including Single-Agent, Multi-Agent, and Hierarchical Control Flows. Unlike high-level abstractions, LangGraph allows developers to explicitly manage loops, condition branching, and state transitions.
Human-in-the-Loop Integration: LangGraph supports persistent interrupts, allowing for human review, approval, or manual steering of agent actions. This capability ensures that non-deterministic agents remain within operational guardrails during high-stakes tasks.
State Management & Persistence: The system includes built-in Conversation Memory and state persistence. This allows agents to maintain context across sessions, handle long-running background tasks, and recover from failures without losing execution history.
First-Class Streaming: Designed for UX Optimization, the framework provides native, token-by-token streaming of agent reasoning and actions. It enables real-time visibility into the agent's internal thought process as it navigates complex graphs.

Audience & Use Cases

Audience: AI Developers, Full-Stack Engineers, and Machine Learning Engineers requiring precise control over agentic behavior.
Use Case: Building autonomous customer support swarms, complex research pipelines with human validation steps, and enterprise-grade RAG (Retrieval-Augmented Generation) systems that require stateful multi-step reasoning.

Technical Specifications

Framework Compatibility: Deep integration with LangChain; framework-agnostic core logic.
Implementation: Available in Python and JavaScript/TypeScript.
Execution Environment: Supports local execution and managed deployment via LangSmith.

LangGraph

What is LangGraph?

Categories & Use Cases