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Software Development & Delivery · Preview

langchainjs

The agent engineering platform

Preview status · 2026-05-16

What is langchainjs?

01

Quick decision

Use this section to decide whether the project is worth a deeper read.
Best forUsers who want source-backed project understanding before installing it.

Match the project to your task before installing it.

Capabilityskill, recipe, host_instruction, eval, preflight

The agent engineering platform

Repositorylangchain-ai/langchainjs

18k stars · 3.2k forks

02

What it can do

Translate the upstream project into concrete capabilities the user can judge before installing.
1

Introduction to LangChain.js

Related topics: Getting Started, Package Architecture

Sources: [libs/langchain-core/package.json:1-35](https://github.com/langchain-ai/langchainjs/blob/main/libs/langchain-core/package.json)
2

Getting Started

Related topics: Introduction to LangChain.js

Sources: [README.md:1-15]()
3

Package Architecture

Related topics: Introduction to LangChain.js, Core Abstractions

Source: https://github.com/langchain-ai/langchainjs / Human Manual
4

Core Abstractions

Related topics: Package Architecture, Chat Models and LLM Providers

Sources: [libs/langchain-core/src/runnables/base.ts]()
5

Chat Models and LLM Providers

Related topics: Embeddings Integration, Agent Framework

Sources: [libs/providers/langchain-anthropic/src/chat_models.ts:1-100]()

Sources: https://github.com/langchain-ai/langchainjs, Human Manual, Project Pack evidence, and downstream validation signals.

03

Community Discussion Evidence

Project-level external discussion stays visible on the detail page, not only inside the manual.
Stars18k stars
Forks3.2k forks
Contributors1.1k contributors
Licenseunknown

Community Discussion Evidence

7 source-linked items

Review these external discussions before using langchainjs with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.

04

How to start

Only source-backed commands are shown here. Verify them in an isolated environment first.
1

Try the prompt first

Test the workflow without installing the upstream project.

preview
2

Read the Human Manual

Understand inputs, outputs, limits, and failure modes.

manual
3

Take context to your AI host

Use the compiled assets in your preferred AI environment.

context
4

Run sandbox verification

Confirm install commands and rollback before using a primary environment.

verify
npm install -S langchain

Official start command · https://github.com/langchain-ai/langchainjs#readme · verified: yes

05

Human Manual

The English page must expose the real manual, not a short placeholder.

8+ sections · Human Manual

langchainjs Manual

LangChain.js is organized into a modular monorepo structure with multiple packages that serve different purposes. Each package focuses on specific functionality while maintaining interoper...

Open the full manual
  1. langchainjs Human Manual
  2. Table of Contents
  3. Introduction to LangChain.js
  4. Related Pages
  5. Architecture Overview
  6. Core Packages
  7. @langchain/core
  8. libs/langchain
1

Introduction to LangChain.js

Related topics: Getting Started, Package Architecture

Sources: [libs/langchain-core/package.json:1-35](https://github.com/langchain-ai/langchainjs/blob/main/libs/langchain-core/package.json)
2

Getting Started

Related topics: Introduction to LangChain.js

Sources: [README.md:1-15]()
3

Package Architecture

Related topics: Introduction to LangChain.js, Core Abstractions

Source: https://github.com/langchain-ai/langchainjs / Human Manual
4

Core Abstractions

Related topics: Package Architecture, Chat Models and LLM Providers

Sources: [libs/langchain-core/src/runnables/base.ts]()
5

Chat Models and LLM Providers

Related topics: Embeddings Integration, Agent Framework

Sources: [libs/providers/langchain-anthropic/src/chat_models.ts:1-100]()

06

AI Context Pack and portable assets

After deciding to continue, take the project context into your own AI host.

Complete pack plus user-owned assets

These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.

07

Preflight checks

Treat this preview as a planning asset, not proof that your local environment is ready.

08

Pitfall Log and verification risks

Doramagic surfaces high-risk items before users treat a candidate capability as verified.
high

Review upstream issue

The source signal needs review before production use.

medium

Review upstream issue

The source signal needs review before production use.

medium

Review upstream issue

The source signal needs review before production use.

medium

Review upstream issue

README/documentation is current enough for a first validation pass.

medium

Review upstream issue

The source signal needs review before production use.

medium

Review upstream issue

no_demo

medium

Review upstream issue

no_demo

medium

Review upstream issue

The source signal needs review before production use.