LangGraph

Orchestrate multi-actor AI applications with precision.

PRICING STARTS

$

0

/ Month

INDUSTRY

Technology

PRICING TYPE

Freemium

ABOUT

LangGraph is an orchestration framework developed by LangChain, designed to build stateful, multi-actor applications utilizing Large Language Models (LLMs). It offers developers granular control over agent workflows, enabling the creation of complex, reliable, and scalable AI-driven applications.

USE CASES

AI-Powered Code Generation: Replit's AI Agent leverages LangGraph to generate code and assist developers in rapidly building and deploying applications. The system's multi-agent architecture exposes agent actions to users and supports human-in-the-loop interactions, enhancing reliability and user engagement.

Automated Unit Test Generation: Uber's Developer Platform team utilized LangGraph to construct a network of agents aimed at automating unit test generation, facilitating large-scale code migrations and improving development efficiency.


CORE FEATURES

Controllable Cognitive Architecture: LangGraph provides a flexible framework supporting various control flows, including single-agent, multi-agent, hierarchical, and sequential structures. This flexibility allows developers to design agents capable of handling complex tasks with enhanced reliability.

Statefulness: Built-in state management enables agents to maintain context over long-term interactions, facilitating seamless collaboration between humans and agents. This feature is crucial for applications requiring persistent context, such as ongoing user support or long-term project assistance.

First-Class Streaming Support: LangGraph offers native token-by-token streaming and streaming of intermediate steps, allowing applications to display agent reasoning and actions to users in real-time. This capability enhances user experience by providing transparency and immediacy in agent interactions.

Human-in-the-Loop Integration: The framework supports the inclusion of human oversight within agent workflows, enabling agents to draft actions or decisions for human review and approval before execution. This integration ensures higher reliability and safety in critical applications.


CATEGORY

AI Agents Framework

USEFUL FOR

Software Engineers