LangChain
Framework and platform for building, observing, and deploying AI agents
About LangChain
LangChain is an AI infrastructure company built around a set of tools for building, observing, and deploying AI agents. At its core are two open-source frameworks: LangChain, which provides reusable components for prompts, retrieval, memory, and model calls used to construct LLM-powered applications such as chatbots and RAG systems, and LangGraph, which adds stateful orchestration, checkpointing, and human-in-the-loop control for more deterministic, production-grade agents. On the commercial side, the company runs LangSmith, a platform for tracing agent execution, running LLM-as-judge evaluations, managing prompts, and deploying agents with memory and async support; it also includes a no-code agent builder called Fleet and a secure execution environment called Sandboxes for agent-generated code. The tools are aimed at developers and engineering teams building autonomous agents at scale, from startups to large enterprises — the company lists customers such as Klarna, Rippling, ServiceNow, and LinkedIn. LangChain publishes SDKs for Python, TypeScript, Go, and Java, and its open-source libraries report well over 100 million monthly downloads. LangSmith offers a free tier alongside paid commercial plans, though exact pricing isn't published on the site and requires signing up or contacting sales to see.
At a glance
- Company
- LangChain
- Platforms
- Web, API
- API
- Available
- Integrations
- OpenTelemetry, MCP
- Last verified
- August 2026
Who It's For
- •AI and machine learning engineers.
- •Enterprise technology teams.
- •Startups developing AI-powered applications.
- •Research institutions exploring LLM integrations.
- •Product teams creating AI-driven customer solutions.
How It Works
- 1Provides tools for designing, building, and managing AI agents.
- 2Supports integration with various models, databases, and third-party tools.
- 3Includes visualization, debugging, and performance evaluation features.
- 4Offers deployment solutions for scaling enterprise-grade AI agents.
- 5Supports stack integration for flexible and customizable workflows.
How to Use LangChain
- 1Sign up or request a demo on the platform.
- 2Use visual agent IDE and templates to start building agents.
- 3Integrate desired AI models and tools into your agents.
- 4Test and debug agents using LangSmith's observability tools.
- 5Deploy and manage agents using LangGraph for scalability.
Key Features
- •LangGraph stateful agent orchestration with checkpointing and human-in-the-loop control
- •LangSmith tracing and debugging for agent execution
- •LLM-as-judge evaluation and human feedback scoring
- •No-code agent builder (Fleet)
- •Secure sandboxed execution for agent-generated code
- •LLM Gateway for model call management
Use Cases
- •Building and orchestrating production AI agents
- •Debugging and tracing agent execution in production
- •Evaluating agent quality with automated and human feedback
- •Deploying agents with memory and human-in-the-loop review
Pros & Cons
Advantages
- •All-in-one platform covering design, deployment, and monitoring.
- •Seamless integration with various models and tools.
- •Supports complex, reliable agent workflows with visibility.
Disadvantages
- •Steep learning curve for beginners.
- •Complexity might be overkill for simple applications.
- •Requires significant setup for advanced features.
Alternatives
- LlamaIndex
- Haystack
- Semantic Kernel
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Frequently Asked Questions
What is LangChain?
LangChain is an AI infrastructure company built around a set of tools for building, observing, and deploying AI agents. At its core are two open-source frameworks: LangChain, which provides reusable components for prompts, retrieval, memory, and model calls used to construct LLM-powered applications such as chatbots and RAG systems, and LangGraph, which adds stateful orchestration, checkpointing, and human-in-the-loop control for more deterministic, production-grade agents.
How much does LangChain cost?
LangChain uses custom pricing — contact the vendor for a quote.
Is LangChain free?
LangChain is a paid tool and does not offer a free plan.
What are the best LangChain alternatives?
Popular LangChain alternatives include LlamaIndex, Haystack, Semantic Kernel.
What is LangChain used for?
LangChain is commonly used for Building and orchestrating production AI agents, Debugging and tracing agent execution in production, Evaluating agent quality with automated and human feedback.
Does LangChain have an API?
Yes, LangChain offers an API for developers.
What platforms does LangChain support?
LangChain is available on Web, API.
Information Accuracy
Please note: While we regularly update all tool information including descriptions, features, pricing, and other details, this information may change over time as tools evolve and update their offerings. For the most current and accurate information, we recommend visiting the official website directly. Our goal is to provide you with comprehensive and up-to-date information to help you make informed decisions.