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langchain

Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG applications. Best for rapid prototyping and production deployments.

3,579stars289forksUpdated 2/18/2026

Security Assessment

Medium Risk(55/100)

Detected risks:

Remote Code Execution([SKILL.md] eval()
Sensitive File Access([SKILL.md] .env)
Security Score55/100

About langchain

LangChain is a powerful framework designed for building large language model (LLM)-powered applications, with a strong emphasis on agents, chains, and retrieval-augmented generation (RAG). It solves the problem of simplifying the development of complex AI systems, providing developers with tools for building chatbots, question-answering systems, autonomous agents, and RAG applications. LangChain supports multiple LLM providers such as OpenAI, Anthropic, and Google, allowing easy switching between models. Additionally, it provides extensive memory management, tool calling, and vector store retrieval functionalities that streamline the process of developing LLM-based applications. LangChain also facilitates rapid prototyping and smooth transition to production-ready solutions with integrated observability through LangSmith.

FAQ

How can I install LangChain?

You can install LangChain using the following command: `pip install -U langchain`. To include support for OpenAI, use `pip install langchain-openai`, for Anthropic, use `pip install langchain-anthropic`. For vector stores and additional integrations, use `pip install langchain-community` and `pip install langchain-chroma`.

What are the main features of LangChain?

LangChain supports multiple LLM providers (OpenAI, Anthropic, Google), integrates 500+ tools, and enables the development of agents using the ReAct pattern. It also includes memory management, tool calling, and vector store retrieval, making it ideal for chatbots, RAG applications, and production deployment.

Can I use LangChain for rapid prototyping?

Yes, LangChain is specifically designed for rapid prototyping of LLM applications. It simplifies the development process with easy-to-use APIs for creating agents, chaining operations, and integrating with multiple LLM providers.

Install langchain

Download and extract the skill files to your .claude/skills/ directory.

Quick Setup:

  1. Copy the skill folder to .claude/skills/
  2. Claude will automatically detect and use the skill