HomeExploreWorkflow Automation

AI-powered no-code and low-code automations

Workflow automation platforms let non-engineers build AI pipelines visually — connecting APIs, databases, and AI models in drag-and-drop interfaces. The fastest path from idea to running AI workflow.

9 platforms trackedLive dataBrowse all →

Top Workflow Automation

Ranked by GitHub stars

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n8n
ActiveTypeScript
90

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

platform
202.9k
dify
ActiveTypeScript
90

Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.

platform
154.0k
Langflow
ActivePython
90

Open-source platform for building agents and workflows with MCP support.

platformOpen Source
154.0k
JeecgBoot
ActiveJava
95

【低代码v2.0,一句话即可生成整个系统】企业级AI低代码平台,一键生成前后端代码甚至整个系统。 AI Skills 一句话画流程、设计表单、生成报表、大屏。内置 AI应用平台涵盖:AI聊天、知识库、流程编排、MCP插件等,兼容主流大模型。引领AI低代码「Skills 生成 → 在线配置 → 代码生成 → 手工合并->AI修改」开发模式,解决 Java 项目 90% 重复工作,提高效率又不失灵活。

platformOpen Source
47.6k
kong
SlowingLua
83

🦍 The API and AI Gateway

platformOpen Source
44.1k
agno
ActivePython
95

agno is a Python framework for building, running, and managing agent platforms, providing tools to orchestrate multiple agents and their interactions.

platformOpen Source
42.0k
dolt
ActiveGo
90

Dolt – Git for Data

platformOpen Source
24.3k
suna
ActiveTypeScript
85

The open-source AI Management System

platform
20.2k
astrid
ActiveRust
87

Unicity Astrid OS is a secure operating system designed to run AI agents safely and efficiently.

platformOpen Source
10.3k

Production-ready picks

OSI-approved license · actively maintained

L
Langflow
Open-source platform for building agents and workflows with MCP support.
OSI ✓MIT
J
JeecgBoot
【低代码v2.0,一句话即可生成整个系统】企业级AI低代码平台,一键生成前后端代码甚至整个系统。 AI Skills 一句话画流程、设计表单、生成报表、大屏。内置 AI应用平台涵盖:AI聊天、知识库、流程编排、MCP插件等,兼容主流大模型。引领AI低代码「Skills 生成 → 在线配置 → 代码生成 → 手工合并->AI修改」开发模式,解决 Java 项目 90% 重复工作,提高效率又不失灵活。
OSI ✓Apache-2.0
K
kong
🦍 The API and AI Gateway
OSI ✓Apache-2.0

Frequently asked questions about Workflow Automation

What is AI workflow automation?+
AI workflow automation platforms let you build pipelines that combine LLMs, APIs, and data sources without writing code. Examples: n8n, Flowise, Langflow, Dify, and Zapier with AI steps.
n8n vs Flowise vs Langflow — which to choose?+
n8n is best for general automation with AI steps (like Zapier, but open-source). Flowise and Langflow are purpose-built for LLM/RAG pipelines with a visual node editor. Dify adds a built-in model management layer.
Can I self-host AI workflow automation tools?+
Yes. n8n, Flowise, Langflow, and Dify all offer Docker-based self-hosting. This keeps your data private and avoids per-workflow pricing. n8n has the most mature self-hosted community.
What are the limits of no-code AI automation?+
No-code tools struggle with complex branching logic, custom data transformations, and performance optimization. For production systems handling >1000 req/day, coding frameworks typically offer better control and cost.

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