LangChain

AI 에이전트

An 오픈소스 프레임워크 for building AI 에이전트 powered by LLMs. Features extensive 연동s and multi-agent support via LangGraph.

4.3
PythonJavaScript/TypeScriptSelf-hosted

LangChain이란?

LangChain is an 오픈소스 프레임워크 for building applications and AI 에이전트 powered by 대규모 언어 모델s (LLMs). With over 118,000 GitHub stars, it is the world's largest LLM 프레임워크, supporting 연동 major LLM providers including OpenAI, Anthropic, and Google AI. It comprehensively provides the functionality needed for AI 에이전트 construction: 프롬프트 chaining, memory management, tool calling, and RAG (Retrieval-Augmented Generation). The LangGraph companion project enables building stateful multi-agent applications. LangSmith (paid) streamlines agent monitoring, evaluation, and 디버깅.

LangChain 스크린샷

요금제

1Open source free
2LangSmith Developer free
3Plus $39/month
4Enterprise contact for pricing

주요 기능

LLM chain and pipeline construction
RAG (Retrieval-Augmented Generation) support
LangGraph (multi-agent orchestration)
Memory management (conversation buffer, vector store)
100+ tool and API 연동s
LangSmith (monitoring, evaluation, 디버깅)

장점 및 단점

장점

  • Open source and free to use (MIT-equivalent 라이선스)
  • Supports 100+ LLM and tool 연동s
  • Multi-agent development possible via LangGraph
  • Active 커뮤니티 with 118,000+ GitHub stars
  • Available in both Python and JavaScript

단점

  • Programming knowledge required (개발자-oriented)
  • Frequent API changes result in a 가파른 학습 곡선
  • 고급 LangSmith features require a 유료 플랜

자주 묻는 질문

Q. Is LangChain free to use?

A. 네, LangChain itself is 오픈소스 and free. 그러나 API costs for the LLMs you use (such as OpenAI) are charged separately. LangSmith has a free 개발자 plan, but advanced features require Plus ($39/month) or higher.

Q. Can 초보자 use it?

A. LangChain is a 개발자-oriented 프레임워크 requiring basic Python or JavaScript knowledge. For 노코드 AI 에이전트 building, Flowise or Dify may be more suitable.

Q. What is LangGraph?

A. LangGraph is a LangChain companion project—a 프레임워크 for building stateful multi-agent applications using graph structures. 다음을 가능하게 합니다: complex branching, looping, and error handling.

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