langchain-ai/langchainjs

Health v2 · maintenance only

Adoption not part of the score

18135 stars · 3338 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

LangChain.js is a TypeScript framework for building LLM-powered applications, providing standard interfaces for agents, models, embeddings, vector stores, and tools with hundreds of provider integrations. It includes create_agent, a configurable agent harness, and composes with LangGraph.js for advanced agent orchestration.

Use cases

• build an ai chatbot in javascript
• create llm agents with tool calling in nodejs
• swap between openai and anthropic models without changing code
• build a rag pipeline with vector stores in typescript
• prototype an llm-powered application quickly
• orchestrate multi-step agent workflows
• connect llms to internal data sources and apis

When to choose

• you want a batteries-included, model-agnostic framework with a large integration ecosystem in JavaScript/TypeScript
• you need to rapidly prototype LLM apps and swap model providers freely
• you want a configurable agent harness with middleware, tools, and optional LangGraph orchestration

When to avoid

• you need a minimal dependency-free LLM client and prefer calling provider APIs directly
• you want full control over prompts and agent loops without framework abstractions
• your project is Python-based and you don't need the JS/TS ecosystem

Facets

framework · maturity active

agent-framework llm-inference rag chatbot sdk middleware prompt-engineering artificial-intelligence large-language-models developer-tools web-development cross-platform serverless llm agents model-agnostic integrations langgraph langsmith javascript npm ai-agents retrieval-augmented-generation nodejs typescript web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="langchain-ai/langchainjs")