# Activepieces vs Mindflow

Activepieces records 258,553 monthly visits with +1.5% month-over-month growth and Freemium pricing. Mindflow records 16,663 monthly visits with +18.7% growth and Contact for Pricing pricing.

| Metric | [Activepieces](https://openaitools.app/tool/activepieces) | [Mindflow](https://openaitools.app/tool/mindflow-io) |
| :--- | :--- | :--- |
| Website URL | https://www.activepieces.com | https://mindflow.io |
| Categories | AI Workflow, No-Code&Low-Code, AI Code Assistant, AI Agent | AI Workflow, No-Code&Low-Code, AI Agent, AI Copilot |
| Pricing Model | Freemium | Contact for Pricing |
| Monthly Visits | 258,553 | 16,663 |
| MoM Growth Rate | +1.5% | +18.7% |
| Primary Market | United States | United States |
| Direct Visits | 111,328 | 6,597 |
| 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)

## Mindflow

Mindflow has evolved from a no-code automation tool into what it now calls an Enterprise Agentic Command Center. The premise is that security and IT operations teams do not need another separate AI tool; they need a way to make agents run inside the systems that already hold the alerts, tickets, identities and devices. You describe an agent in plain English, attach the tools it may use, and Mindflow turns that into an executable, repeatable workflow with defined steps rather than an open-ended chatbot.

The platform layers several pieces: an agentic orchestration layer for building and running agents, an MCP gateway for connecting to Model Context Protocol servers and external services, an iPaaS integration layer covering thousands of connectors, and shared "AI Rooms" where teams and agents work through an incident together. Deterministic no-code flows sit alongside the agents so that critical response actions follow the same steps every time, with a human approval gate before anything destructive such as suspending an account or isolating a device.

Governance is the differentiator it leads with. Every tool call is scoped by per-operation permissions, and execution is fully logged so analysts can see what an agent checked, what it found, which actions it took and what is still awaiting approval. Mindflow publishes starter bundles for common mandates such as SOC triage, vulnerability operations and DORA/NIS2 evidence coordination, aimed at MSSPs and enterprise operations teams deploying many agents at once, and it offers SaaS as well as other deployment options for security-conscious buyers.

**Pricing & Plans:** Contact for pricing. Mindflow uses a demo- and sales-led model with a dedicated pricing page describing plans and bundles; enterprise contracts are typically quoted based on deployment size, integrations and support needs.

- **Natural-language agent builder:** Describe an agent and its mission in plain English, attach the tools it may use, and run it as a governed workflow rather than an unstructured chat.
- **4,000+ native integrations with MCP gateway:** Connect security, IT, cloud and business tools directly, plus Model Context Protocol servers, so agents can act across the existing stack.
- **Per-operation permissions and full audit:** Each agent action is individually scoped and logged, giving reviewers a complete record of what was checked, decided and executed.
- **Human-in-the-loop approvals:** Sensitive response actions pause for explicit analyst approval with stated impact, so automation never silently changes access or isolates systems.
- **Deterministic no-code flows and AI Rooms:** Codify critical runbooks into repeatable flows, and collaborate with agents in shared incident rooms alongside comments and handoff notes.

**Strengths:** Built for security and IT operations realities rather than generic business automation; Deep integration surface covering thousands of tools plus an MCP gateway; Strong governance story: per-operation permissions, approval steps and full execution audit; Deterministic flows next to agents, which suits teams that cannot tolerate unpredictable actions

**Limitations:** Enterprise-oriented, so small teams may find the buying process and contract heavier than they need; Pricing is not published, which makes early cost estimation harder; The breadth of permissions, integrations and audit concepts implies real setup and onboarding effort before value appears

[Profile (Markdown)](https://openaitools.app/tool/mindflow-io.md)

## Frequently Asked Questions

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

Activepieces has 258,553 monthly visits, while Mindflow has 16,663. 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%; Mindflow has +18.7%.

### 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. Mindflow: Contact for Pricing. Contact for pricing. Mindflow uses a demo- and sales-led model with a dedicated pricing page describing plans and bundles; enterprise contracts are typically quoted based on deployment size, integrations and support needs.

## 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 | Automate work across thousands of apps — no code required | [.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 | [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) |
| 4 | [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) |
| 5 | [CREAO](https://openaitools.app/tool/creao) | 619,749 | +39.2% | Freemium | AI agents that run recurring business work for your team | [.md](https://openaitools.app/tool/creao.md) |
| 6 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Build, share, and control AI agents that actually do the work | [.md](https://openaitools.app/tool/gumloop.md) |
| 7 | [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) |
| 8 | [Relevance AI](https://openaitools.app/tool/relevance-ai) | 192,083 | -15.5% | Free Trial, Contact for Pricing | No-code AI agents and agent teams for real business workflows | [.md](https://openaitools.app/tool/relevance-ai.md) |
| 9 | [FlowHunt](https://openaitools.app/tool/flowhunt-io) | 186,190 | 0% | Free Trial, Paid | Specializes in building conversational chatbots and agentic pipelines visually, but lacks broad traditional connector depth. | [.md](https://openaitools.app/tool/flowhunt-io.md) |
| 10 | [Coze](https://openaitools.app/tool/coze) | 177,539 | -33.3% | Freemium | Strong multi-channel publishing capabilities for AI agents, but less comprehensive for multi-step backend data pipelines. | [.md](https://openaitools.app/tool/coze.md) |

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Source: https://openaitools.app/compare/activepieces-vs-mindflow-io

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