# Activepieces vs Superflows

Activepieces records 258,553 monthly visits with +1.5% month-over-month growth and Freemium pricing. Superflows records 4,103 monthly visits with -1.2% growth and Freemium, Paid, Contact for Pricing pricing.

| Metric | [Activepieces](https://openaitools.app/tool/activepieces) | [Superflows](https://openaitools.app/tool/superflows) |
| :--- | :--- | :--- |
| Website URL | https://www.activepieces.com | https://www.superflows.ai |
| Categories | AI Workflow, No-Code&Low-Code, AI Code Assistant, AI Agent | AI Assistant, AI Agent, AI Chatbot, AI Copilot |
| Pricing Model | Freemium | Freemium, Paid, Contact for Pricing |
| Monthly Visits | 258,553 | 4,103 |
| MoM Growth Rate | +1.5% | -1.2% |
| Primary Market | United States | India |
| Direct Visits | 111,328 | 1,603 |
| Review Score | 4.6 | 4.2 |
| 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)

## Superflows

Superflows targets a common SaaS problem: users cannot find what they need inside complex products, and building every possible dashboard is expensive. It provides an embeddable AI assistant that sits inside your product, lets users type natural-language requests, and then does the work — calling your APIs for data, writing code to crunch numbers for analytics answers, and answering support-style questions from your documentation.

Integration is deliberately code-light on the front end but serious about control on the back end. You upload your OpenAPI specification and docs, configure authentication and the endpoints the assistant may use, and test behaviour in a playground. You can approve the formats and answers the assistant is allowed to give, step by step, and then add one code snippet to your frontend to go live. Actions such as creating tasks or updating records are prepared for the user and require confirmation before they run.

Superflows is built by Learney AI Ltd, which describes itself as having pivoted to this product. It is aimed at B2B SaaS product teams and offers an open-source API, developer dashboard and chat UI components on GitHub, plus a workspace-based onboarding that can include building a proof of concept with you. Pricing runs from testing tiers up to enterprise, with custom quotes for larger deployments.

**Pricing & Plans:** Freemium-to-paid with a range of plans. There is testing access and an open-source option, paid tiers for scaling products, and enterprise pricing by quote. Book a demo or workshop for a tailored proof of concept. See the pricing page for current figures.

- **Chat to API:** Connect your OpenAPI spec and docs and Superflows builds the assistant, configuring which endpoints and answers it can use.
- **Analytics and calculations:** The assistant calls your APIs, then writes code to compute the numbers users ask for, delivering analytics answers in seconds.
- **Confirmed user actions:** It can prepare actions on behalf of users and asks for confirmation before completing them, keeping the user in control.
- **Controlled behaviour, one-line embed:** Approve the answer formats and behaviours so the assistant stays within bounds, then integrate with a single front-end snippet.
- **Documentation copilot:** Upload your product documentation so the assistant can answer how-to questions like an always-on product expert.

**Strengths:** Adds a genuinely capable assistant to an existing SaaS product rather than a generic chatbot; Analytics answers come from live API calls plus generated code, not stale dashboards; Strong control model: you approve the answers and formats the assistant can give; Front-end integration is a single code snippet

**Limitations:** It is developer-facing software you embed in your own product, so end users cannot simply sign up and use it; Getting a reliable assistant depends on a good OpenAPI spec and clean documentation; Setup and configuration (auth, endpoints, answer approvals) take real engineering time; Pricing for higher volumes and enterprise use is quote-based

[Profile (Markdown)](https://openaitools.app/tool/superflows.md)

## Frequently Asked Questions

### How do Activepieces and Superflows compare in monthly traffic?

Activepieces has 258,553 monthly visits, while Superflows has 4,103. 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%; Superflows has -1.2%.

### 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. Superflows: Freemium, Paid, Contact for Pricing. Freemium-to-paid with a range of plans. There is testing access and an open-source option, paid tiers for scaling products, and enterprise pricing by quote. Book a demo or workshop for a tailored proof of concept. See the pricing page for current figures.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) | 111,910,743 | +2.2% | Freemium | Autonomous enterprise AI agents and CRM intelligence powered by Salesforce Data 360 and Atlas. | [.md](https://openaitools.app/tool/salesforce-einstein.md) |
| 2 | [Zapier](https://openaitools.app/tool/zapier-com) | 5,065,248 | +0.4% | Freemium, Free Trial, Paid | Automate work across thousands of apps — no code required | [.md](https://openaitools.app/tool/zapier-com.md) |
| 3 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Powerful open-source workflow automation with robust self-hosting options, but steeper learning curve than Activepieces. | [.md](https://openaitools.app/tool/n8n.md) |
| 4 | [Abacus.AI](https://openaitools.app/tool/abacus-ai) | 3,278,636 | -1.7% | Contact for Pricing | An all-in-one AI super assistant for professionals and enterprises | [.md](https://openaitools.app/tool/abacus-ai.md) |
| 5 | [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) |
| 6 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Stronger focus on RAG knowledge bases and LLM application development, but less general business automation. | [.md](https://openaitools.app/tool/dify-ai.md) |
| 7 | [DocsBot AI](https://openaitools.app/tool/docsbot-ai) | 495,278 | -3.8% | Freemium | Custom AI agents trained on your documentation and knowledge base | [.md](https://openaitools.app/tool/docsbot-ai.md) |
| 8 | [LlamaIndex](https://openaitools.app/tool/llamaindex) | 387,910 | +19.9% | Freemium, Contact for Pricing | Turn any document into AI-ready context with agentic parsing and extraction | [.md](https://openaitools.app/tool/llamaindex.md) |
| 9 | [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) |
| 10 | [Tines](https://openaitools.app/tool/tines) | 273,260 | +24.4% | Freemium, Contact for Pricing | Enterprise-grade security and governance for workflows, but geared more toward security and IT operations. | [.md](https://openaitools.app/tool/tines.md) |

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Source: https://openaitools.app/compare/activepieces-vs-superflows

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