# Activepieces vs SmythOS Activepieces records 258,553 monthly visits with +1.5% month-over-month growth and Freemium pricing. SmythOS records 45,165 monthly visits with -22.3% growth and Freemium, Paid, Contact for Pricing pricing. | Metric | [Activepieces](https://openaitools.app/tool/activepieces) | [SmythOS](https://openaitools.app/tool/smythos) | | :--- | :--- | :--- | | Website URL | https://www.activepieces.com | https://smythos.com | | Categories | AI Workflow, No-Code&Low-Code, AI Code Assistant, AI Agent | AI Agent, No-Code&Low-Code, AI API, AI Workflow | | Pricing Model | Freemium | Freemium, Paid, Contact for Pricing | | Monthly Visits | 258,553 | 45,165 | | MoM Growth Rate | +1.5% | -22.3% | | Primary Market | United States | United States | | Direct Visits | 111,328 | 18,341 | | Review Score | 4.6 | 4.3 | | Saved Count | 0 | 0 | | Supported Platforms | Website | Website | ## Activepieces 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. **Pricing & Plans:** Freemium model: a free plan requiring no credit card lets you start building flows and agents, with paid plans for higher run volumes and enterprise features. Deployment options range from the managed cloud to self-hosted and air-gapped, and open-source users can run the community edition on their own infrastructure. - **AI agents from plain language:** 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. - **Visual flow builder with inline TypeScript:** Build automations on a canvas with branching, retries, waitpoints, subflows and error handling, then write inline TypeScript for the steps that need real code. - **770+ open-source app connectors:** 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. - **Chat, Tables and knowledge base:** 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. - **Enterprise deployment and governance:** 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. **Strengths:** Open-source core with MIT-licensed pieces and a genuinely self-hostable build; Strong blend of AI agents, a visual builder and inline TypeScript; Enterprise-grade controls including SSO, roles, secret managers and audit streaming; Large connector library plus an HTTP piece for anything not covered **Limitations:** The breadth of agents, tables, flows and MCP features can overwhelm new users; Some advanced enterprise capabilities are reserved for paid and self-managed plans; Self-hosting means you own upgrades, scaling and reliability [Profile (Markdown)](https://openaitools.app/tool/activepieces.md) ## SmythOS SmythOS describes itself as "the Linux of AI agents" — an operating-system-style foundation for building, running and managing intelligent agents. It comes in two complementary forms: an open-source, cloud-native runtime called the SmythOS Runtime Environment (SRE), and a visual Agent Studio for people who prefer to build agents by dragging and dropping rather than coding. The technical idea behind the SRE is unified resource abstraction. Instead of wiring your agent to a specific provider, you interact with consistent interfaces for LLMs, vector databases, storage and caching. Storage can be local, S3 or another provider; the LLM can be OpenAI, Anthropic or another option — and swapping providers does not require rewriting business logic. The project is released under an MIT license with an SDK, a CLI for scaffolding new projects, documentation and code examples, and it ships with security, observability and a set of production-ready components. Because it is designed to run identically across local, cloud and edge environments, agents can be developed once and scaled wherever they need to live. SmythOS is positioned for both technical and non-technical builders. Teams that want a visual, no-code path use the Agent Studio, while developers can install the CLI, scaffold an SDK project and work in code while still benefiting from the same runtime. It is sold on a freemium and paid model with enterprise options, and the open-source core means it can also be self-hosted. **Pricing & Plans:** SmythOS lists a freemium tier, paid plans and contact-for-pricing enterprise options for the hosted platform, while the core runtime, SDK and CLI are open source under an MIT license and can be self-hosted. See the site for current tiers. - **No-code visual agent builder:** A drag-and-drop Agent Studio lets you design, wire up and deploy AI agents without writing code. - **Unified resource abstraction:** The open-source SmythOS Runtime Environment provides a unified SDK for LLMs, vector databases, storage and caching that works identically across providers. - **Provider-agnostic connectors:** Swap LLM, database or storage providers without changing your business logic, using a consistent interface across all resources. - **Security and observability built in:** Built-in access control, credential management and observability designed for production agent workloads. - **Deploy anywhere:** Write agent logic once and run it across local, cloud and edge environments with the same code. **Strengths:** Combines a no-code visual builder with an open-source developer runtime; Unified API means you can swap LLM, storage and vector DB providers without rewriting logic; MIT-licensed runtime with SDK, CLI, docs and examples on GitHub; Built-in security, access control and observability for production agents **Limitations:** Two distinct surfaces — Visual Studio for no-code and the SDK/CLI for developers — can feel like two products to learn; Self-hosting the open-source runtime and full deployment add operational overhead; As a young platform, the ecosystem of prebuilt connectors and community templates is still growing [Profile (Markdown)](https://openaitools.app/tool/smythos.md) ## Frequently Asked Questions ### How do Activepieces and SmythOS compare in monthly traffic? Activepieces has 258,553 monthly visits, while SmythOS has 45,165. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? Activepieces has a month-over-month growth rate of +1.5%; SmythOS has -22.3%. ### How does pricing compare? Activepieces: Freemium. Freemium model: a free plan requiring no credit card lets you start building flows and agents, with paid plans for higher run volumes and enterprise features. Deployment options range from the managed cloud to self-hosted and air-gapped, and open-source users can run the community edition on their own infrastructure. SmythOS: Freemium, Paid, Contact for Pricing. SmythOS lists a freemium tier, paid plans and contact-for-pricing enterprise options for the hosted platform, while the core runtime, SDK and CLI are open source under an MIT license and can be self-hosted. See the site for current tiers. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [Zapier](https://openaitools.app/tool/zapier-com) | 5,065,248 | +0.4% | Freemium, Free Trial, Paid | Massive prebuilt app ecosystem and polished UX, but significantly more expensive and proprietary. | [.md](https://openaitools.app/tool/zapier-com.md) | | 2 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Open-source workflow automation built for AI agents and technical teams | [.md](https://openaitools.app/tool/n8n.md) | | 3 | [Composio](https://openaitools.app/tool/composio) | 2,782,603 | +22.8% | Freemium, Contact for Pricing | Give your AI agents secure, authenticated access to 1,700+ apps | [.md](https://openaitools.app/tool/composio.md) | | 4 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | No-code builder for custom AI agents and workflows | [.md](https://openaitools.app/tool/mindstudio.md) | | 5 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Build, deploy, and govern production-ready agentic AI workflows | [.md](https://openaitools.app/tool/dify-ai.md) | | 6 | [Vapi](https://openaitools.app/tool/vapi) | 662,301 | -11.4% | Freemium | Build, test, and deploy production-grade voice AI agents over API | [.md](https://openaitools.app/tool/vapi.md) | | 7 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Excellent browser and web scraping automation features for AI agents, but fewer standard enterprise app integrations. | [.md](https://openaitools.app/tool/gumloop.md) | | 8 | [Merge](https://openaitools.app/tool/merge-dev) | 313,201 | +1.7% | Freemium, Contact for Pricing | The universal context engine connecting agents to data, tools, and models | [.md](https://openaitools.app/tool/merge-dev.md) | | 9 | [Pipedream](https://openaitools.app/tool/pipedream) | 312,216 | -14.3% | Freemium, Paid, Contact for Pricing | Managed auth and 10,000+ tools for the agents you're building | [.md](https://openaitools.app/tool/pipedream.md) | | 10 | [Tines](https://openaitools.app/tool/tines) | 273,260 | +24.4% | Freemium, Contact for Pricing | A secure environment where teams build, deploy and govern AI agents, apps and automations | [.md](https://openaitools.app/tool/tines.md) | --- Source: https://openaitools.app/compare/activepieces-vs-smythos More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)