Langflow - AI Workflow Builders Tool

Overview

Langflow is an open-source visual builder and API server for designing, testing, and deploying AI-driven agents and workflows. It provides a node-based canvas to assemble LLM calls, prompt templates, data connectors, and control logic so developers and non-developers can prototype complex multi-step pipelines without hand-coding every integration. Langflow includes built-in Python customization blocks, letting users insert or modify logic with code where visual nodes are insufficient. The project emphasizes interoperability: flows can connect to major LLM providers and vector databases, orchestrate multiple agents, and expose completed flows as REST endpoints via a bundled API server. According to the GitHub repository, the codebase is actively maintained and designed for local development, Docker deployment, and extension through custom nodes and community-contributed integrations. Langflow targets teams who want rapid iteration on retrieval-augmented generation (RAG), question-answering, multi-agent coordination, and production-ready endpoints without building a custom orchestration layer from scratch.

Installation

Install via docker:

git clone https://github.com/langflow-ai/langflow.git

cd langflow

docker compose up --build

Key Features

• Visual node-based editor for building LLM workflows and agent pipelines
• Built-in API server to run and expose flows as REST endpoints
• Python code nodes for inline customization and complex logic
• Connectors for major LLM providers and popular vector databases
• Multi-agent orchestration for coordinating several model-based agents

Community

Langflow is developed and supported through its GitHub repository, where the project maintains releases, issues, and contribution guidelines. According to the repository, the project accepts community contributions, custom node submissions, and templates; community discussion and feature requests are handled via GitHub Issues and PRs. Users report the tool accelerates prototyping and lowers the barrier for building RAG and multi-agent flows; community feedback commonly requests additional provider connectors, stability improvements for production deployment, and more example templates.

Key Information

• Category: Workflow Builders
• Type: AI Workflow Builders Tool