Tools / LangChain

Build, test, deploy, and monitor AI agents and applications with this open agent engineering platform. It supports various models and offers tools for debugging and iteration.
LangChain is an open agent engineering platform designed to help companies build, deploy, and manage applications powered by large language models (LLMs). It provides a framework for developing AI agents, allowing users to choose their preferred models and customize the application's harness, context, and memory. The platform emphasizes control and governance over AI intelligence.
The tool supports the entire agent development lifecycle, from initial building to continuous iteration. It offers features for rapid prototyping, testing agent behavior, and deploying applications on infrastructure built for long-running tasks. LangChain also includes monitoring capabilities to track performance, catch regressions, and manage costs in production environments. It aims to provide a comprehensive solution for developing and maintaining LLM-based applications.
An agent engineering platform provides tools and frameworks to build, test, deploy, monitor, and iterate on AI agents, which are applications powered by large language models.
Yes, LangChain offers options to build agents with or without code, including features like Fleet for natural language agent creation.
It allows users to debug agent runs with step-by-step tracing, query complex traces, and turn expert reviews into standardized evaluations.
Yes, it includes features like LLM Gateway to control model calls, spend, and detect sensitive data, along with options for human approval on sensitive agent actions.
The website states that over 7,000 active LangSmith customers use the platform, including 5 of the Fortune 10 companies.
Yes, LangChain provides open-source frameworks for building agents.
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