LangGraph is an open-source Python framework that enables developers to design and execute complex language model workflows using directed graphs. It provides nodes representing LLM calls, data transformations, and branching logic, plus features like caching, parallel execution, and visualization. Users can easily compose reusable components, integrate multiple AI models, and track data flow through intuitive graph structures.
AI Platforms & Frameworks
Tool Libraries
#AI workflow orchestration
#LLM Integration
#data processing pipeline
#modular AI development
#graph visualization tools
#parallel execution in AI
#sequential tasks management
#error handling in workflows
#result caching techniques
#multi-step reasoning AI
#chatbot design frameworks
#document analysis automation
#NLP applications
#scalable AI solutions
#Code reusability in AI
#deployed machine learning workflows
#integrated AI models
#debugging AI systems
#developer tools for AI
...
Promote this Tool
Update this Tool
LangGraph
LangGraph is an open-source Python framework that enables developers to design and execute complex language model workflows using directed graphs. It provides nodes representing LLM calls, data transformations, and branching logic, plus features like caching, parallel execution, and visualization. Users can easily compose reusable components, integrate multiple AI models, and track data flow through intuitive graph structures.
AI Platforms & Frameworks
Tool Libraries
#AI workflow orchestration
#LLM Integration
#data processing pipeline
#modular AI development
#graph visualization tools
#parallel execution in AI
#sequential tasks management
#error handling in workflows
#result caching techniques
#multi-step reasoning AI
#chatbot design frameworks
#document analysis automation
#NLP applications
#scalable AI solutions
#Code reusability in AI
#deployed machine learning workflows
#integrated AI models
#debugging AI systems
#developer tools for AI
...
Featured
What is LangGraph?
LangGraph provides a versatile graph-based interface to orchestrate language model operations and data transformations in complex AI workflows. Developers define a graph where each node represents an LLM invocation or data processing step, while edges specify the flow of inputs and outputs. With support for multiple model providers such as OpenAI, Hugging Face, and custom endpoints, LangGraph enables modular pipeline composition and reuse. Features include result caching, parallel and sequential execution, error handling, and built-in graph visualization for debugging. By abstracting LLM operations as graph nodes, LangGraph simplifies maintenance of multi-step reasoning tasks, document analysis, chatbot flows, and other advanced NLP applications, accelerating development and ensuring scalability.
Who will use LangGraph?
- AI researchers
- Machine learning engineers
- NLP developers
- Data scientists
- Software developers
How to use the LangGraph?
- Step1: Install LangGraph via pip (`pip install langgraph`).
- Step2: Import LangGraph in your Python project (`from langgraph import Graph`).
- Step3: Define nodes for LLM calls, data transformations, and branching logic.
- Step4: Connect nodes by specifying edges to determine data flow.
- Step5: Execute the graph, monitor progress, and visualize results using built-in tools.
Platform
- mac
- windows
- linux
LangGraph's Core Features & Benefits
The Core Features
- Graph-based orchestration of language model workflows
- Support for multiple LLM providers (OpenAI, Hugging Face, custom)
- Modular pipeline composition with reusable nodes
- Parallel and sequential execution control
- Built-in caching and error handling
- Graph visualization for debugging and monitoring
The Benefits
- Simplifies complex multi-step AI workflows
- Enhances code modularity and reusability
- Accelerates development and debugging
- Scales across models and tasks
- Improves maintenance and collaboration
LangGraph's Main Use Cases & Applications
- Building multi-turn chatbot conversation flows
- Automating document analysis and summarization pipelines
- Chaining LLM calls for step-by-step reasoning tasks
- Developing custom question-answering systems
- Orchestrating data extraction and transformation processes
FAQs of LangGraph
LangGraph Company Information
LangGraph Reviews
5/5
LangGraph's Main Competitors and alternatives?
- LangChain
- LlamaIndex
- Haystack
- Flowise
You may also like:
1.5M
14.58% AI design agent automates workflow creating images, videos, 3D models up to 10x faster.
1.2K
54.15% AI-driven chatbot for top OnlyFans creators.
325.8K
27.42% Aixbt is a tokenized AI Agent optimizing revenue across applications.
937
theGist AI Workspace unifies work apps with AI for improved productivity.
44.0K
11.03% Generate brand visuals and copy using AI to boost e-commerce sales.
1.4K
55.44% GPTConsole is an AI agent designed for streamlined conversation and task automation.
--
GenSphere is an AI agent that automates data analysis and provides insights for informed decision-making.
6.8K
63.82% Nullify automates the entire AppSec program for security teams using AI-driven solutions.
77.6K
18.77% Flowith is a canvas-based agentic workspace which offers free 🍌Nano Banana Pro and other effective models...
30.8K
21.51% Langbase is an AI agent that generates and analyzes natural language content efficiently.
719
36.79% AiTerm: AI Terminal Assistant converting natural language to commands.
--
Generate intriguing facts effortlessly with our AI-powered tool.
1.2K
100.00% Revolutionary AI that sees, hears, and communicates in real time.
17.9K
41.82% Automate your job applications and find the perfect job with AI technology.
413
100.00% Intellika AI enables seamless automation of data analysis and reporting for businesses.
--
ScholarRoll helps students find and apply for scholarships easily.
37.2K
68.25% OneReach AI simplifies interactions by automating customer engagement through intelligent messaging.
594
100.00% Phoenix AI Assistant helps streamline tasks using intelligent automation and personalized support.
8.6K
37.99% Refly.AI empowers non-technical creators to automate workflows using natural language and a visual canvas.
--
AI Library is a developer platform for building and deploying customizable AI agents using modular chains and tools.
--
A Python-based framework implementing flocking algorithms for multi-agent simulation, enabling AI agents to coordinate and navigate dynamically.
--
An open-source framework enabling autonomous LLM agents with retrieval-augmented generation, vector database support, tool integration, and customizable workflows.
--
An AI agent template showing automated task planning, memory management, and tool execution via OpenAI API.
--
Pipe Pilot is a Python framework that orchestrates LLM-driven agent pipelines, enabling complex multi-step AI workflows with ease.
--
Open-source repository providing practical code recipes to build AI agents leveraging Google Gemini's reasoning and tool usage capabilities.
--
RModel is an open-source AI agent framework orchestrating LLMs, tool integration, and memory for advanced conversational and task-driven applications.
--
An open-source framework implementing cooperative multi-agent reinforcement learning for autonomous driving coordination in simulation.
--
Python library with Flet-based interactive chat UI for building LLM agents, featuring tool execution and memory support.
--
Agentic Workflow is a Python framework to design, orchestrate, and manage multi-agent AI workflows for complex automated tasks.
381.3K
19.05% Clone, Design, and Create Expressive AI Voices in Seconds, with Perfect Sound Effects and Music.
--
A GitHub demo showcasing SmolAgents, a lightweight Python framework for orchestrating LLM-powered multi-agent workflows with tool integration.
--
A Python framework for easily defining and executing AI agent workflows declaratively using YAML-like specifications.
--
OpenSpiel provides a library of environments and algorithms for research in reinforcement learning and game theoretic planning.
245.5K
32.47% A Pythonic framework implementing the Model Context Protocol to build and run AI agent servers with custom tools.
--
pyafai is a Python modular framework to build, train, and run autonomous AI agents with plug-in memory and tool support.
--
LangGraph enables Python developers to construct and orchestrate custom AI agent workflows using modular graph-based pipelines.
--
A Python wrapper enabling seamless Anthropic Claude API calls through existing OpenAI Python SDK interfaces.
--
Agent Adapters provides pluggable middleware to integrate LLM-based agents with various external frameworks and tools seamlessly.
--
Java-Action-Storage is a LightJason module that logs, stores, and retrieves agent actions for distributed multi-agent applications.
--
LinkAgent orchestrates multiple language models, retrieval systems, and external tools to automate complex AI-driven workflows.
69.6K
13.79% SharkFoto is an all-in-one AI-powered platform for creating and editing videos, images, and music efficiently.