Activepieces
Open-source Zapier alternative with 200+ integrations - self-hostable, MIT licensed, with an AI step for LLM automation built into every flow.
Activepieces is an open-source workflow automation platform that provides a visual flow builder with 200+ pre-built integrations (called "pieces") covering CRM, marketing, databases, developer tools, and communication apps. It offers a fully self-hostable deployment under the MIT license, making it a popular choice for teams that want Zapier-level automation without data leaving their infrastructure. The platform includes a native AI piece for adding LLM calls (OpenAI, Anthropic, Gemini) as steps within any automation flow - enabling AI-powered data enrichment, content generation, and decision-making without a separate AI tool. Activepieces also supports custom TypeScript pieces for teams needing proprietary integrations.
Key Features
- 200+ pre-built pieces (integrations) spanning CRM, marketing, databases, communication, and developer tools
- Open-source MIT license - self-host on any infrastructure with full data control and no per-task fees
- Native AI piece - add LLM calls from OpenAI, Anthropic, or Google as a step in any automation flow
- Custom TypeScript pieces - build private integrations that run natively inside the platform
- Visual flow builder with conditional branches, loops, delay steps, and parallel execution paths
- Webhook and polling triggers for connecting to any API-based service not covered by existing pieces
- White-label capability for agencies building automation products or internal tools on Activepieces infrastructure
Use Cases
- Engineering teams self-hosting automation infrastructure so sensitive business data never leaves their environment
- Startups building AI-enhanced automation flows - trigger on webhook, process with LLM, write to database
- Agencies offering workflow automation as a service, white-labeling Activepieces for client deployments
- Operations teams replacing Zapier to eliminate per-task pricing as automation volume scales
Pros
- Self-hosting with MIT license eliminates per-task costs entirely - critical for high-volume automation at scale
- Built-in AI piece removes the need for a separate AI integration layer in LLM-powered workflows
- Custom TypeScript pieces give developers full control when existing integrations do not cover a specific system
Cons
- Self-hosting requires DevOps capability - Docker setup and maintenance are not within reach for non-technical teams
- Cloud free tier at 1,000 tasks/month is restrictive; the next tier jumps to $65/month with limited task ceiling
- 200 pieces is less than Zapier's 7,000+ - some niche app integrations require building a custom piece from scratch
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