8 Best n8n Alternatives in 2026 (Open Source)

n8n — Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.. Unlike Zapier (pure no-code, closed-source), n8n combines visual workflow building with inline JavaScript/Python code and self-hosting, making it the go-to for technical teams who need both flexibility and control

These 8 open-source tools do the same job. They are ordered by how closely they match n8n, with live GitHub data so you can see which projects are actively maintained.

1. 1. Langflow

   Langflow is a powerful tool for building and deploying AI-powered agents and workflows.

   What sets it apart: Best visual builder for LLM workflows with direct MCP server deployment — more production-ready than Flowise with API-first architecture

   Best for: Rapid prototyping of AI agent workflows with visual builder; Non-developers building LLM applications without coding

   ⭐ 155.4kn8n vs Langflow →Full profile →

2. 2. Flowise

   Build AI Agents, Visually

   What sets it apart: Easiest no-code AI agent builder with one-command setup (npx flowise start) — simpler than Langflow, targeting non-developers who want AI workflows without Python

   Best for: Non-technical users building AI chatbots and RAG applications; Quick prototyping of LLM workflows with drag-and-drop

   ⭐ 55.5kn8n vs Flowise →Full profile →

3. 3. Dify

   Production-ready platform for agentic workflow development.

   What sets it apart: Unlike LangGraph (code-first orchestration), Dify offers a complete visual IDE combining workflow builder, RAG pipeline, prompt engineering, and production monitoring in one platform — the Vercel of LLM apps

   Best for: Teams building RAG-powered chatbots and AI apps with visual workflow and no backend coding; Product teams who need LLMOps monitoring alongside app development in one platform

   ⭐ 157.6kn8n vs Dify →Full profile →

4. 4. Windmill

   Open-source developer platform to power your entire infra and turn scripts into webhooks, workflows and UIs. Fastest workflow engine (13x vs Airflow). Open-source alternative to Retool and Temporal.

   What sets it apart: vs Retool: open-source with code-first approach and 10+ language support; vs Temporal: built-in UI generation and low-code app builder; vs n8n: developer-oriented with real code execution rather than node-based visual programming

   Best for: Internal tool development with auto-generated UIs; Workflow automation replacing Retool/Pipedream; Teams needing multi-language script orchestration

   ⭐ 18.1kn8n vs Windmill →Full profile →

5. 5. iX

   Autonomous GPT-4 agent platform

   What sets it apart: vs LangChain/AutoGen: visual no-code drag-and-drop editor with native multi-agent orchestration and horizontal worker scaling — design complex agent workflows visually instead of writing code

   Best for: Building custom multi-agent teams with visual no-code editor; Rapid prototyping of AI workflows without coding; Organizations needing self-hosted parallel agent execution at scale

   ⭐ 1.0kn8n vs iX →Full profile →

6. 6. Flock

   Flock is a workflow-based low-code platform for rapidly building chatbots, RAG, and coordinating multi-agent teams, powered by LangGraph, Langchain, FastAPI, and NextJS.（Flock 是一个基于workflow工作流的低代码平台，用

   What sets it apart: vs Dify/Flowise: native human-in-the-loop approval, subgraph nodes for modular reuse, and MCP protocol support for flexible tool integration

   Best for: Teams building conversational AI with visual workflow design; Organizations needing human-in-the-loop agent workflows

   ⭐ 1.1kn8n vs Flock →Full profile →

7. 7. AgentPilot

   A versatile workflow automation platform to create, organize, and execute AI workflows, from a single LLM to complex AI-driven workflows.

   What sets it apart: vs ChatGPT/Claude desktop: local multi-agent workflow builder with graph-based design, 20+ LLM providers via LiteLLM, branching chats, and built-in multi-language code interpreter

   Best for: Power users building complex multi-agent workflows on desktop; Developers wanting visual graph-based agent orchestration with code execution

   ⭐ 568n8n vs AgentPilot →Full profile →

8. 8. Prefect

   Prefect is a workflow orchestration framework for building resilient data pipelines in Python.

   What sets it apart: Decorator-based API turns any Python function into a monitored, retryable, schedulable workflow — vs Airflow which requires DAG files and more boilerplate

   Best for: Orchestrating data pipelines and ETL workflows; Teams wanting to add resilience to existing Python scripts

   ⭐ 24.0kn8n vs Prefect →Full profile →