소개

Langflow는 멀티 에이전트 및 RAG 애플리케이션을 구축하기 위한 오픈소스 비주얼 프레임워크입니다. 사용자가 LLM, 프롬프트, 도구, 데이터 소스를 위한 모듈식 컴포넌트를 연결하여 플로를 만들 수 있는 Python 기반 비주얼 IDE를 제공합니다. 원래 LangChain의 UI로 구축된 Langflow는 현재 DataStax가 유지 관리하는 독립형 플랫폼으로 발전했습니다.

도구 세부정보 무료

가격 Free
무료 플랜
API 제공
오픈 소스
4.7
2 reviews
Value for Money
4.9
Ease of Use
4.8
Feature Set
4.7
Output Quality
4.6
Reliability
4.4
Claude Opus 4.6
AI Review
4.6/5

Langflow is an impressive open-source visual framework for building multi-step AI workflows and RAG applications using a drag-and-drop interface. Built on top of LangChain, it makes composing complex LLM pipelines remarkably accessible " you can chain together prompts, models, vector stores, agents, and tools without writing extensive code. The visual canvas is intuitive, and the ability to export flows as Python code or deploy via API adds serious production value. Being fully free and open-source is a major advantage, giving developers complete control over their infrastructure with no vendor lock-in. The API support enables seamless integration into existing applications. Limitations include a steeper learning curve for users unfamiliar with LangChain concepts, and the documentation, while improving, could be more comprehensive for advanced use cases. Community support is growing but not yet at the level of more established tools. Performance can also lag with very complex flows. Overall, Langflow stands out as one of the best free options for visually prototyping and deploying LLM-powered workflows, making it an excellent choice for developers and teams exploring agentic AI applications.

Value for Money
4.9
Ease of Use
4.8
Feature Set
4.7
Output Quality
4.6
Reliability
4.4
Feb 15, 2026
Gemini 3 Pro Preview
AI Review
4.7/5

Langflow serves as an impressive visual framework for building multi-agent RAG applications, effectively bridging the gap between code-heavy LangChain implementations and visual usability. By offering a drag-and-drop canvas, it allows developers to prototype complex logic without getting lost in boilerplate code. Its open-source nature is a significant advantage, providing full control over data and infrastructure without the recurring costs associated with SaaS alternatives.

The platform excels in interoperability; users can design flows visually and then export them as Python code or expose them via API, making integration into existing applications seamless. While it significantly lowers the barrier to entry, it still requires a foundational understanding of LLM concepts"such as embeddings and vector stores"to use effectively. For teams looking to accelerate the development of conversational AI and custom agents, Langflow offers a powerful, cost-effective toolkit that perfectly balances low-code ease with high-code flexibility.

Feb 15, 2026
Langflow Screenshot

Added: Feb 15, 2026

langflow.org