Langflow

Visually build AI agents and LLM workflows — drag-and-drop, self-hosted.

A low-code visual builder for AI agents, chatflows, and multi-agent systems on a drag-and-drop canvas. It self-hosts locally through npm or Docker, or deploys to major clouds, and is provider-agnostic across many LLMs via its node ecosystem. The core is Apache-2.0; a managed Flowise Cloud tier exists, making it freemium.

Visual platform for agentic workflows, RAG pipelines, and LLM apps.

An LLMOps platform that bundles a drag-and-drop workflow builder, RAG pipelines, agent tooling, model management, and observability into one surface — prototype to production without much glue code. Connects hundreds of proprietary and open models across providers. Self-host the source-available edition for free, or use Dify Cloud's paid tiers.

Fair-code workflow automation with first-class AI nodes.

Visual workflow builder bridging APIs, databases, and AI providers. Self-hostable; commercial cloud available. The default Zapier-style surface for the agentic-workflow crowd.

The default open-source framework for composing LLM apps.

Python + TypeScript framework for chaining prompts, tools, retrievers, and memory into LLM applications. Ubiquitous in the ecosystem; pairs with LangGraph for agent orchestration and LangSmith for tracing.