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Automation

No-code AI workflows and task automation.

125 tools · 💎 79 hidden gems

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Start here

The most-starred projects in this category, plus a rotating pick of three more from deeper in the list — refreshed so the whole catalogue gets its turn in the window.

Automation

n8n

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

★ 206.6k starsCustom (check repo)
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Automation

Langflow

Langflow — the visual builder for AI agents and workflows: drag-and-drop flows over LangChain components, deployed as APIs or MCP tools, MIT-licensed

★ 155.8k starsMIT
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Automation

awesome-claude-skills

A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows

★ 76.4k starsUnknown
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Automation

tradingview-mcp

AI-assisted TradingView chart analysis — connect Claude Code to your TradingView Desktop for personal workflow automation

★ 6.7k starsUnknown
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Automation

st2

StackStorm (aka "IFTTT for Ops") is event-driven automation for auto-remediation, incident responses, troubleshooting, deployments, and more for DevOps and S…

★ 6.5k starsApache-2.0
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Automation

ferret

Declarative data automation language and Go runtime for structured extraction workflows.

★ 6.0k starsApache-2.0
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More categories: VideoImageAudioAI MusicAI 3DClippingLocal LLMAI ChatAI AgentsRAG & KnowledgeProductivityDev ToolsDesignWritingSelf-HostedEasy Install

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About Automation tools

Automation tools connect AI to the rest of your stack: visual workflow builders, browser automations, and agent-ready pipelines that trigger on events, move data between apps, and call models where a plain script would be brittle.

Open-source automation shines when a workflow must run on your own infrastructure — internal data, self-hosted apps, no per-task pricing. The tools here range from node-based canvases familiar from hosted products to code-first frameworks for developers.

How to choose

  • Map your workflow on paper first; the best tool is the one whose triggers and actions match it exactly.
  • Self-hosting removes per-run costs but adds upkeep — be honest about which you would rather pay.
  • For browser tasks, prefer tools with recorded, inspectable runs over ones that improvise every time.
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Questions, answered

Which open-source Automation tools are listed here?

This page collects 125 open-source Automation projects curated by LibreAI — No-code AI workflows and task automation. Each one is verified on GitHub and has its own guide page with an overview, install steps, use cases, and an FAQ.

Are these Automation tools free to use?

Yes. Every tool here is open source and free to download and use under its own license — most use MIT, Apache-2.0, or GPL-3.0, and any custom source-available license is flagged on the tool's page. Check the LICENSE file before commercial use.

Does LibreAI host these tools?

No. LibreAI publishes guides only — no downloads are served from this site. Every install comes from the project's official GitHub repository.

How do I install a Automation tool from this page?

Open the tool's guide and follow its 'Run it yourself' section — the steps come from the project's own documentation — or use the 'View on GitHub' button to go straight to the official repository.

How were these tools chosen?

Every project is verified live through the GitHub API — stars, forks, license, and recent activity — and listed only if it has real momentum and an active community.

Do I need to code to use these automation tools?

The visual builders here are genuinely no-code for common workflows. Code-first frameworks exist for developers who want version control and tests on their automations — the category contains both, and the guides say which is which.

Can automations run entirely on my own server?

Yes — self-hosting is the main reason to choose the open-source options. Your workflows, credentials, and data stay on infrastructure you control, at the cost of maintaining that server yourself.