LangChain is a versatile open-source framework that enables developers to create and deploy AI agents by connecting large language models to external data sources, APIs, and tools. It offers modular components like chains, agents, memory, and prompt templates, making it easy to build complex, stateful AI-driven applications.
AI Platforms & Frameworks
Coding Assistance
Tool Libraries
#AI agent framework
#LLM Integration
#autonomous agents
#context management
#Developer Tools
#Prompt Templates
#document processing
#modular design
#workflow automation
#AI application development
#Retrieval augmented generation
#community support
#vector data management
#API interaction
#Machine learning tools
#intelligent applications
#data processing framework
#customizable workflows
#memory modules
#tool integration
...
Promote this Tool
Update this Tool
LangChain
LangChain is a versatile open-source framework that enables developers to create and deploy AI agents by connecting large language models to external data sources, APIs, and tools. It offers modular components like chains, agents, memory, and prompt templates, making it easy to build complex, stateful AI-driven applications.
AI Platforms & Frameworks
Coding Assistance
Tool Libraries
#AI agent framework
#LLM Integration
#autonomous agents
#context management
#Developer Tools
#Prompt Templates
#document processing
#modular design
#workflow automation
#AI application development
#Retrieval augmented generation
#community support
#vector data management
#API interaction
#Machine learning tools
#intelligent applications
#data processing framework
#customizable workflows
#memory modules
#tool integration
...
Featured
What is LangChain?
LangChain is a developer-focused framework designed to streamline the creation of intelligent AI agents and applications. It provides abstractions for chains of LLM calls, agentic behavior with tool integrations, memory management for context persistence, and customizable prompt templates. With built-in support for document loaders, vector stores, and various model providers, LangChain allows you to construct retrieval-augmented generation pipelines, autonomous agents, and conversational assistants that can interact with APIs, databases, and external systems in a unified workflow.
Who will use LangChain?
- Software Developers
- Machine Learning Engineers
- Data Scientists
- AI Researchers
- DevOps Engineers
How to use the LangChain?
- Step1: Install the library via pip install langchain.
- Step2: Import core modules like Chains, Agents, and PromptTemplate.
- Step3: Configure connectors for LLM providers and document loaders.
- Step4: Compose chains or agents, adding tools and memory components.
- Step5: Execute the chain or agent on user input and handle the output.
Platform
- web
- mac
- windows
- linux
LangChain's Core Features & Benefits
The Core Features
- Chain abstractions for LLM workflows
- Agent classes with tool integration
- Memory modules for context
- Prompt templating system
- Document loaders and vector store support
- Compatibility with multiple LLM providers
The Benefits
- Accelerates AI application development
- Highly modular and extensible design
- Simplifies retrieval-augmented generation
- Facilitates autonomous agent creation
- Strong community and ecosystem support
LangChain's Main Use Cases & Applications
- Building conversational chatbots with memory
- Implementing retrieval-augmented QA systems
- Automating API-driven workflows
- Creating code-generation assistants
- Developing data-driven report generators
FAQs of LangChain
LangChain Company Information
LangChain Reviews
5/5
LangChain's Main Competitors and alternatives?
- Microsoft Semantic Kernel
- Hugging Face Transformers
- LlamaIndex
- OpenAI Function Calling
- Haystack
You may also like:
Gobii lets teams create 24/7 autonomous digital workers to automate web research and routine tasks.
Salesloft is an AI-driven platform enhancing sales engagement and workflow automation.
Autogpt is a Rust library for building autonomous AI agents that interact with the OpenAI API to complete multi-step tasks
Angular is a web development framework for building modern, scalable applications.
An AI-driven RAG pipeline builder that ingests documents, generates embeddings, and provides real-time Q&A through customizable chat interfaces.
BrandCrowd offers customizable logos, business cards, and social media designs with thousands of templates.
Refly.AI empowers non-technical creators to automate workflows using natural language and a visual canvas.
Skywork AI is an innovative tool to enhance productivity using AI.
Five9 AI Agents enhance customer interactions with intelligent automation.
Mosaic AI Agent Framework enhances AI capabilities with data retrieval and advanced generation techniques.
Windsurf AI Agent helps optimize windsurfing conditions and gear recommendations.
Glean is an AI assistant platform for enterprise search and knowledge discovery.
NVIDIA Cosmos empowers AI developers with advanced tools for data processing and model training.
AI-driven customer service platform offering efficient communication solutions.
A framework that dynamically routes requests across multiple LLMs and uses GraphQL to handle composite prompts efficiently.
Flowith is a canvas-based agentic workspace which offers free 🍌Nano Banana Pro and other effective models...
Refly.AI empowers non-technical creators to automate workflows using natural language and a visual canvas.
AiTerm: AI Terminal Assistant converting natural language to commands.
Edusign simplifies digital attendance and document signatures.
Phoenix AI Assistant helps streamline tasks using intelligent automation and personalized support.
OLI is a browser-based AI agent framework enabling users to orchestrate OpenAI functions and automate multi-step tasks seamlessly.
Simulate conversations with people who have anxiety, receive feedback, and improve your support skills.
Maige automates GitHub workflows with AI for seamless issue and PR management.
Rehance offers an AI copilot to enhance SaaS platforms with automated productivity tools.
All-in-one AI video creation studio that turns any text and images into full videos up to 30 minutes.
SWE-1 is an AI-powered coding assistant designed to speed up software development.
Generate BI reports from your competitors’ Google Maps reviews to understand customer sentiment.
AIHelp provides AI-powered customer support and in-app messaging solutions.
Kadoa is an AI agent that enhances customer support and engagement through personalized interactions.
Aide is an AI agent designed to streamline workflows and enhance productivity.
Transform your customer communications with AI-powered calls seamlessly using Regal AI Agent Platform.
Batai Assistant automates customer service with innovative voice models for seamless conversations.
Jupid is an AI agent designed to enhance productivity through automated assistance in various tasks.
aiXplain offers AI-driven model creation for diverse applications effortlessly.
Clone, Design, and Create Expressive AI Voices in Seconds, with Perfect Sound Effects and Music.
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.
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.
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.
Qoder is an agentic coding platform for real software, Free to use the best model in preview.