automation

Automate with activepieces

Get AI workflow automation with activepieces, ideal for founders seeking no-code solutions
intermediate1-2 hours💵 Free (self-hosted) + LLM API costs
24,629 stars4,223 forksTypeScriptGuide quality 9/10 · reviewed Jun 1Updated 9/21/2026100% free · open source
What it is

Use activepieces to create AI workflow automations.

Real use case example

"A founder wants to automate customer onboarding. They create a flow using activepieces: connect Stripe webhook, add customer to Notion database, and trigger a welcome email via Sendinblue. The flow is live, and new customers are automatically onboarded, saving the founder time."

Best insideClaude DesktopCursorCodex CLI
When to use it
  • When you need to automate repetitive tasks across multiple applications
  • When you want to integrate AI decision-making into your business workflows
  • When you have complex processes that require customized automation
Ready-to-paste prompt
automate a workflow that sends a daily report of sales data from a database to a slack channel using `activepieces workflow create --name daily-sales-report --trigger cron --action slack/send-message`
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/activepieces && curl -fsSL https://workflowstacks.com/api/skills/activepieces/claude-skill -o ~/.claude/skills/activepieces/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Automate with activepieces works
Codeflow
Free to inspect

Automate with activepieces is a very large TypeScript project (~1.1M lines across 12722 code files, plus 539 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Other license, has a test suite.

Size
Very large codebase
~1.1M lines · 12722 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Node.js · Docker
Needs API keys (.env)
TypeScript 99%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    package.json
    Dependencies and the commands it exposes
  4. 4
    .env.example
    The API keys and settings you must provide
  5. 5
    packages/core/shared/README.md
    Inside packages/core/ — the main logic begins here
What's in each folder
packages/core/Core code — the actual logic305 files
packages/server/Backend / API2074 files
packages/web/Frontend / UI1241 files
packages/cli/Command-line entry points32 files
docs/Documentation414 files
packages/pieces/Package20814 files
brain/Folder116 files
tools/Helper scripts42 files
READMEHas testsDocumentedCI checksDocker readyOther licenseUpdated this month
Quick Actions
Details
Creator
activepieces
Language
TypeScript
Category
automation
Published
12/3/2022

Are you the creator of this tool? and earn 85% of every sale.

Show it off in your README:

Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/activepieces.svg)](https://workflowstacks.com/skills/activepieces?utm_source=github&utm_medium=badge)
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