Activepieces

What Is Activepieces?

Activepieces is an open-source automation platform that lets you connect apps, build AI agents, and automate workflows without writing code. It’s positioned as a modern, AI-native alternative to Zapier and Make, with the option to self-host for complete data control, plus enterprise-grade features for building complex automation workflows.

Backed by Y Combinator and used by teams ranging from solo operators to enterprise organizations, Activepieces distinguishes itself with genuinely AI-native workflow building: you can describe what you want an automation to do in natural language, and the platform builds the workflow for you.

Key Features

• 200+ integrations, connect popular apps: Gmail, Slack, HubSpot, Notion, Airtable, OpenAI, and more
• AI Flow Builder, describe your automation in natural language; Activepieces generates the workflow
• AI Agent blocks, embed AI capabilities (GPT-4, Claude, Gemini) directly into automation steps
• Code blocks, write custom Node.js or Python when pre-built pieces aren’t enough
• Self-hosting, deploy on your own infrastructure for complete data sovereignty
• Branching and loops, complex conditional logic and iteration within workflows
• Templates, pre-built automation templates for common use cases

Activepieces vs. Zapier vs. Make

Zapier is the easiest to start with and has the most integrations (7,000+). But it’s the most expensive for high-volume usage and has limited AI-native capabilities.

Make (formerly Integromat) is more powerful with complex routing and data transformation but has a steeper learning curve.

Activepieces is open-source with a modern interface, AI-native workflow building, and a self-hosting option that eliminates per-task pricing concerns. The enterprise plan can earn up to $17,500/year per customer with 3-year attribution.

For teams that prioritize AI-native automation and data control, Activepieces is increasingly the preferred choice.

Who Is Activepieces Best For?

Developers and technical teams who want flexibility, the code blocks and self-hosting option make it uniquely adaptable. Operations teams building internal automation without engineering resources. AI teams embedding LLM capabilities into business workflows. Enterprises requiring data sovereignty via self-hosted deployment.

Pricing

• Free: 1,000 tasks/month, 1 user, all integrations
• Starter: $6/month, 5,000 tasks, core features
• Pro: $149/month, unlimited tasks, team features, version control
• Platform (Enterprise): custom, self-hosting, white-label, dedicated support

Enterprise affiliate commission: up to $17,500/year per customer across 3 years.

Limitations

200+ integrations vs. Zapier’s 7,000+ means some niche apps aren’t supported natively (though API/webhook connections cover most cases). Self-hosting requires DevOps familiarity. The platform is newer than Zapier/Make, so documentation and community resources are smaller (though growing fast).

Verdict

Activepieces is the right choice for teams that want powerful, AI-native automation without Zapier’s pricing ceiling. The free tier is genuinely useful, and the open-source model means you’re never locked in. For technical teams building complex AI-integrated workflows, it’s the strongest option available.

Frequently Asked Questions

Is Activepieces free? Yes, the free plan includes 1,000 tasks per month and all integrations. Paid plans start at $6/month for 5,000 tasks.

Is Activepieces open source? Yes, Activepieces is MIT-licensed open source. You can self-host it on your own infrastructure, review the code, and contribute to its development.

How does Activepieces compare to Zapier? Activepieces has fewer integrations (200+ vs. Zapier’s 7,000+) but is more affordable at scale, has AI-native workflow building, and can be self-hosted. For most common app combinations, Activepieces covers the need; for obscure integrations, Zapier has better coverage.

Can Activepieces build AI agents? Yes, Activepieces has native AI Agent blocks that let you incorporate LLMs (GPT-4, Claude, Gemini) into automation workflows. You can build agents that make decisions, process content, and interact with other tools based on AI outputs.