langflow-ai/langflow

Health v2 · maintenance only

Adoption not part of the score

155852 stars · 10260 forks observed · 2026-10-20

What it is AI-extracted, prompt v1, taxonomy v1, 2026-09-21, confidence 0.97

Langflow is an open‑source Python‑based platform that provides a visual low‑code editor for building, testing, and deploying AI agents and RAG workflows. It can run as a web application, a desktop client, or be containerised for cloud deployment.

Use cases

• Design and prototype a chatbot that uses an LLM and a vector store for product search.
• Create a multi‑agent workflow that orchestrates several AI tools for data extraction and summarisation.
• Deploy an AI‑powered API that serves custom prompts as a microservice.
• Build a Retrieval‑Augmented Generation (RAG) pipeline with document ingestion, embedding, and query answering.
• Rapidly iterate on AI agent flows with a drag‑and‑drop visual interface and real‑time playground.

When to choose

• You need a visual, low‑code environment to prototype AI agents quickly.
• Your project requires integration with multiple LLMs, vector databases, or custom Python components.
• You want to expose the built flow as an API or MCP server without writing boilerplate code.
• You prefer a self‑hosted solution that can run on desktop, server, or container environments.

When to avoid

• You only need a lightweight library for programmatic LLM calls without a UI.
• Your stack is limited to non‑Python languages and you cannot run a Python web server.
• You require a highly specialised, production‑grade orchestration platform beyond what Langflow offers out of the box.

Facets

application · maturity active

gui api-framework llm-inference rag agent-framework artificial-intelligence large-language-models chatbots python windows low-code visual-builder mcp multi-agent deployment open-source retrieval-augmented-generation ai-agents web-server desktop macos linux docker

Member repositories

For agents

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