langflow-ai/langflow

Health v2 · maintenance only

Adoption not part of the score

153719 stars · 9938 forks observed · 2026-08-28

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

Langflow is an open-source, Python-based visual builder for creating, testing, and deploying AI agents and workflows. It provides a drag-and-drop web editor, supports all major LLMs and vector databases, and can serve flows as APIs or MCP servers.

Use cases

• build ai agents without writing code
• create rag chatbot over my documents
• prototype llm workflows visually
• expose ai workflows as mcp tools
• orchestrate multiple ai agents
• deploy llm app as an api
• compare and test different llm prompts
• build chatbot for my e-commerce store

When to choose

• you want a visual, low-code way to prototype and iterate on AI agent or RAG workflows
• you need to turn flows into APIs or MCP servers for integration with any stack
• you want broad built-in support for major LLMs, vector stores, and AI tools
• you want Python-level customization of any component when the visual editor isn't enough

When to avoid

• you need fine-grained programmatic control over every detail and prefer pure code frameworks like LangChain or LlamaIndex
• you need a lightweight dependency-free solution, since Langflow ships a full web application
• your use case is simple LLM API calls that don't justify a visual workflow platform

Facets

application · maturity stable

agent-framework rag llm-inference mcp chatbot gui workflow-automation web-framework artificial-intelligence large-language-models chatbots developer-tools self-hosted python cross-platform self-hosted windows low-code visual-builder llm-workflows multi-agent mcp-server langchain drag-and-drop generative-ai ai-agents retrieval-augmented-generation docker web-server macos

Member repositories

For agents

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