Langchain action agent github. TL;DR Agents need context to perform tasks. It provides a standard interface for chains, many integrations with other tools, and end-to-end chains for common applications. LangChain simplifies every stage of the LLM application lifecycle: Development: Build your applications using LangChain's open-source building blocks, components, and third-party integrations. Get started with tools from the LangChain product suite for every step of the agent development lifecycle. LangChain simplifies every stage of the LLM application lifecycle: Development: Build your applications using LangChain's open-source components and third-party integrations. LangChain products are designed to be used independently or stack for multiplicative benefit. . Learn how to build an agent -- from choosing realistic task examples, to building the MVP to testing quality and safety, to deploying in production. LangChain is a framework for developing applications powered by large language models (LLMs). LangChain 是一个用于开发由语言模型驱动的应用程序的框架。 我们相信，最强大和不同的应用程序不仅将通过 API 调用语言模型，还将： 数据感知：将语言模型与其他数据源连接在一起。 Jul 23, 2025 · LangChain is an open-source framework designed to simplify the creation of applications using large language models (LLMs). Familiarize yourself with LangChain's open-source components by building simple applications. Context engineering is the art and science of filling the context window with just the right information. LangChain is a framework for building LLM-powered applications. The LangChain Community is where you learn to build the LLM apps of tomorrow. LangChain's products work seamlessly together to provide an integrated solution for every step of the application development journey. Jump into our Slack and hang out with the LangChain developer community. It helps you chain together interoperable components and third-party integrations to simplify AI application development — all while future-proofing decisions as the underlying technology evolves. If you're looking to get started with chat models , vector stores , or other LangChain components from a specific provider, check out our supported integrations . Need help with LangChain products or have questions about implementation? Connect with fellow builders for advice, share best practices, and explore answers in our community-run forums. LangChain products are designed to be used independently or stack for multiplicative benefit. kljvcs tncv cwd jvde jpj dbo flem pdbu vvbtpw tnmp