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README.md

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Activepieces Tutorial
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Activepieces Tutorial: Open-Source Automation, Pieces, and AI-Ready Workflow Operations

Learn how to use activepieces/activepieces to build, run, and govern production automation workflows with open-source extensibility, piece development, API control, and self-hosted operations.

GitHub Repo License Latest Release

Why This Track Matters

Activepieces is one of the highest-signal open-source automation platforms and increasingly relevant for teams that need Zapier-class orchestration with source-level control, piece extensibility, and MCP-aware integration surfaces.

This track focuses on:

  • understanding core runtime architecture (app, worker, engine, queue)
  • designing maintainable flows and debugging run behavior
  • building and versioning custom pieces in TypeScript
  • operating self-hosted environments with stronger governance and reliability

Current Snapshot (auto-updated)

Mental Model

flowchart LR
    A[Business process] --> B[Flow design]
    B --> C[Trigger and action execution]
    C --> D[Worker and engine runtime]
    D --> E[Admin governance and API control]
    E --> F[Iteration and scaling]
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Chapter Guide

Chapter Key Question Outcome
01 - Getting Started How do I get a first automation running quickly? Fast onboarding baseline
02 - System Architecture: App, Worker, Engine How does Activepieces execute flows under load? Better architecture understanding
03 - Flow Design, Versioning, and Debugging How do I build reliable and diagnosable flows? Stronger workflow quality
04 - Piece Development Framework How do I create and maintain custom pieces safely? Extensibility readiness
05 - Installation and Environment Configuration How should self-hosted setup be standardized? Cleaner deployment baseline
06 - Admin Governance and AI Provider Control How do platform admins control risk and usage? Better governance model
07 - API Automation and Embedding Patterns How do I integrate Activepieces programmatically? API integration fluency
08 - Production Operations, Security, and Contribution How do teams keep operations stable as they scale? Long-term operations playbook

What You Will Learn

  • how Activepieces runtime components collaborate during flow execution
  • how to design and debug flow systems with better reliability
  • how to build, version, and ship custom pieces with reduced regression risk
  • how to govern and operate Activepieces in production environments

Source References

Related Tutorials


Start with Chapter 1: Getting Started.

Navigation & Backlinks

Full Chapter Map

  1. Chapter 1: Getting Started
  2. Chapter 2: System Architecture: App, Worker, Engine
  3. Chapter 3: Flow Design, Versioning, and Debugging
  4. Chapter 4: Piece Development Framework
  5. Chapter 5: Installation and Environment Configuration
  6. Chapter 6: Admin Governance and AI Provider Control
  7. Chapter 7: API Automation and Embedding Patterns
  8. Chapter 8: Production Operations, Security, and Contribution

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