--- id: langchain version: "1.3.15" license: MIT license_treatment: permissive maintenance: active --- # langchain — Building applications with LLMs through composability License: permissive · Maintenance: active · Popularity: top 1,000 on PyPI ## Install pip install langchain uv add langchain poetry add langchain ## Description # 🦜️🔗 LangChain [![PyPI - Version](https://img.shields.io/pypi/v/langchain?label=%20)](https://pypi.org/project/langchain/#history) [![PyPI - License](https://img.shields.io/pypi/l/langchain)](https://opensource.org/licenses/MIT) [![PyPI - Downloads](https://img.shields.io/pepy/dt/langchain)](https://pypistats.org/packages/langchain) [![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langchain_oss.svg?style=social&label=Follow%20%40LangChain)](https://x.com/langchain_oss) Looking for the JS/TS version? Check out [LangChain.js](https://github.com/langchain-ai/langchainjs). To help you ship LangChain apps to production faster, check out [LangSmith](https://www.langchain.com/langsmith). [LangSmith](https://www.langchain.com/langsmith) is a unified developer platform for building, testing, and monitoring LLM applications. ## Quick Install ```bash uv add langchain ``` ## 🤔 What is this? LangChain is the easiest way to start building agents and applications powered by LLMs. With under 10 lines of code, you can connect to OpenAI, Anthropic, Google, and [more](https://docs.langchain.com/oss/python/integrations/providers/overview). LangChain provides a pre-built... ## AI interpretation — verify before relying LangChain is a framework for building LLM-powered agents and applications by composing language model integrations, retrieval systems, and tool orchestration with minimal boilerplate. Verdict: LangChain is a mature, actively maintained framework (Production/Stable, 2-day-old release) with low install friction and no known vulnerabilities. MIT licensing poses no restrictions. Suitable for rapid prototyping of LLM agents; production use benefits from careful dependency management of the three core runtime packages. [View on SkillFed](https://skillfed.io/packages/langchain) · [View on PyPI](https://pypi.org/project/langchain/)