Open-source AI automation that unifies agents, flows and 770+ app integrations
Estimated monthly website visits
Similarweb estimates for this domain, not active users. Only available observation months are shown; collection date is separate from the traffic period.
Collected Nov 11, 2026
This is our editors' assessment out of 5, not an average of user ratings. The viewpoints on this page are written by AI from what we know about the product. They are not customer reviews.
According to OpenAITools.app telemetry verified on 2026-11-11, Activepieces (activepieces.com) is an AI platform indexed under AI Workflow generating 258.55K monthly visits with a month-over-month traffic delta of +3.87K (+1.5%). Its primary geographic market is United States (14.1% traffic share), and it operates on a Freemium pricing model. Top competing alternatives by monthly volume include n8n (4.52M visits/mo), Zapier (5.07M visits/mo), Dify (819.69K visits/mo).
Self-hosted Zapier killer. Absolutely love it.
The AI agent step creation saves hours.
Docker setup was smooth, docs could be a bit cleaner.
Air-gapped deployment worked like a charm.
AI-synthesized perspectives grounded in live site inspection, pricing structure, and category benchmarks — presented as editorial viewpoints rather than individual customer testimonials.
Describe a task in everyday words and the agent determines the steps, chooses tools from your connected apps and MCP servers, and pauses for approval on sensitive actions.
Build automations on a canvas with branching, retries, waitpoints, subflows and error handling, then write inline TypeScript for the steps that need real code.
Every piece is MIT-licensed and community-built, covering the apps you already run, with an HTTP piece for any REST or GraphQL endpoint with auth and pagination handled.
Draft flows by chatting, store structured data in Tables that flows and agents can read and write, and keep internal documents searchable by every agent.
Run on the managed cloud, your Docker/Kubernetes stack or air-gapped, with projects, SSO, role-based access, secret managers, audit logs and bring-your-own AI keys.
Activepieces is an AI-first automation platform built around the idea that a team's agents and its people should share one workspace. At the center are AI agents: you describe a job in plain words and the agent works out the steps, the order and which tools to open across your connected apps and any MCP server you point it at. Sensitive steps can be gated behind human approval, so money, customer and production actions stay under control.
Underneath the agent layer sits a mature workflow engine with a visual builder. Chat can draft most of a flow, while branching, retries, waitpoints, subflows, error handling and human approvals handle the hard cases. Where a step needs real logic, you can drop into inline TypeScript and keep the rest visual. Chat, Tables (a lightweight structured data layer), a knowledge base and an MCP server round out the platform so agents and teammates operate on the same data.
The project is open source at its core, with hundreds of contributors maintaining MIT-licensed app pieces, and it deploys flexibly: Activepieces Cloud, your own Docker or Kubernetes infrastructure, or a fully air-gapped install. Enterprise controls include projects and access roles, SSO via Okta or Entra, secret managers such as HashiCorp Vault, audit logs streamed to your SIEM, and bring-your-own AI model keys from Anthropic, OpenAI, AWS Bedrock or Google Gemini.
Route inbound leads, file invoices for approval, sync CRM records and post updates to Slack so manual copy-paste work disappears from the week.
Keep credentials in your own vault and run agents on your infrastructure, dropping into TypeScript whenever a step outgrows the no-code blocks.
Give each department a sealed project, wire identity through Okta or Entra, stream audit events to your SIEM, and gate production-touching steps behind approvals.
Side-by-side telemetry comparison of competing AI tools in the same primary category
| Rank | AI Tool | Monthly Visits | MoM Growth | Direct traffic share | Pricing | Head-to-Head |
|---|---|---|---|---|---|---|
| ● | Activepieces | 258.55K | +1.5% | 43% direct | Freemium | Current |
| 1 | n8n Powerful open-source workflow automation with robust self-hosting options, but steeper learning curve than Activepieces. | 4.52M | -7.4% | 35% direct | Freemium | vs n8n |
| 2 | Zapier Massive prebuilt app ecosystem and polished UX, but significantly more expensive and proprietary. | 5.07M | +0.4% | 44% direct | Freemium, Free Trial, Paid | vs Zapier |
| 3 | Dify Stronger focus on RAG knowledge bases and LLM application development, but less general business automation. | 819.69K | -15% | 57% direct | Freemium | vs Dify |
| 4 | Gumloop Excellent browser and web scraping automation features for AI agents, but fewer standard enterprise app integrations. | 379.56K | -21.1% | 33% direct | Freemium, Paid, Contact for Pricing | vs Gumloop |
| 5 | Relevance AI Advanced multi-agent workforce builder for complex tasks, but less suited for traditional webhook integrations. | 192.08K | -15.5% | 52% direct | Free Trial, Contact for Pricing | vs Relevance AI |
| 6 | MindStudio Streamlined interface for deploying custom AI agents, but less flexible for traditional data integration pipelines. | 1.79M | +14.2% | 12% direct | Contact for Pricing | vs MindStudio |
Free / Open-sourcePowerful open-source workflow automation with robust self-hosting options, but steeper learning curve than Activepieces.
Free / Open-sourcePowerful open-source workflow automation with robust self-hosting options, but steeper learning curve than Activepieces.
Massive prebuilt app ecosystem and polished UX, but significantly more expensive and proprietary.
Massive prebuilt app ecosystem and polished UX, but significantly more expensive and proprietary.
SpecialistStronger focus on RAG knowledge bases and LLM application development, but less general business automation.
SpecialistStronger focus on RAG knowledge bases and LLM application development, but less general business automation.
Excellent browser and web scraping automation features for AI agents, but fewer standard enterprise app integrations.
Excellent browser and web scraping automation features for AI agents, but fewer standard enterprise app integrations.
Advanced multi-agent workforce builder for complex tasks, but less suited for traditional webhook integrations.
Advanced multi-agent workforce builder for complex tasks, but less suited for traditional webhook integrations.
SpecialistStreamlined interface for deploying custom AI agents, but less flexible for traditional data integration pipelines.
SpecialistStreamlined interface for deploying custom AI agents, but less flexible for traditional data integration pipelines.
Enterprise-grade security and governance for workflows, but geared more toward security and IT operations.
Enterprise-grade security and governance for workflows, but geared more toward security and IT operations.
SpecialistSpecializes in building conversational chatbots and agentic pipelines visually, but lacks broad traditional connector depth.
SpecialistSpecializes in building conversational chatbots and agentic pipelines visually, but lacks broad traditional connector depth.
Free / Open-sourceLightweight open-source visual builder for chaining foundation models, but smaller community and ecosystem than Activepieces.
Free / Open-sourceLightweight open-source visual builder for chaining foundation models, but smaller community and ecosystem than Activepieces.
Free / Open-sourceFlexible open-source workspace for agent systems, but less mature prebuilt connector catalog.
SpecialistStrong multi-channel publishing capabilities for AI agents, but less comprehensive for multi-step backend data pipelines.
Fast natural language flow generation, but lacks the robust open-source community and maturity of Activepieces.
Fast natural language flow generation, but lacks the robust open-source community and maturity of Activepieces.
