# Activepieces vs Magick

Activepieces records 258,553 monthly visits with +1.5% month-over-month growth and Freemium pricing. Magick records 299 monthly visits with 0% growth and Freemium pricing.

| Metric | [Activepieces](https://openaitools.app/tool/activepieces) | [Magick](https://openaitools.app/tool/magick) |
| :--- | :--- | :--- |
| Website URL | https://www.activepieces.com | https://www.magickml.com |
| Categories | AI Workflow, No-Code&Low-Code, AI Code Assistant, AI Agent | AI Agent, AI Developer Tools, No-Code&Low-Code |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 258,553 | 299 |
| MoM Growth Rate | +1.5% | 0% |
| Primary Market | United States | Türkiye |
| Direct Visits | 111,328 | 125 |
| Review Score | 4.6 | 4.3 |
| Saved Count | 0 | 4 |
| 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)

## Magick

Magick approaches agent development the way a visual programming tool approaches software: you describe the behaviour you want by composing nodes on a canvas. A node might call a language model, read a document, branch on a condition, or send a message to an external service. Connect them and you have a runnable agent that you can test immediately inside the environment rather than rebuilding it for every experiment.

The platform is deliberately model-agnostic. You can attach GPT-4, Claude, or open-source alternatives and compare how each performs on the same workflow, which makes it practical for teams that want to avoid betting the whole product on one provider. Alongside generative steps, Magick includes document handling so agents can pull answers from embedded domain knowledge, plus a set of integrations that push finished agents out to Discord, Unreal Engine NPCs, Google AI services, and custom APIs.

Because it is community-driven and open source, the tool is extensible: developers can write custom nodes or modify the runtime instead of waiting for a vendor roadmap. The project is currently marked Open Beta, so expect the surface area to keep changing, and usage is billed on a metered model so you pay for the resources your agents actually consume.

**Pricing & Plans:** Magick is free to use as an open-source project and is currently in Open Beta. The site states that usage is billed on a metered basis, so you pay for the resources you consume rather than a fixed seat licence. Check the official site for the current beta terms and rates.

- **Visual node builder:** Compose agent logic by dragging, dropping, and connecting nodes on a canvas, so complex branching behaviour stays readable without writing glue code.
- **Model-agnostic LLM support:** Attach GPT-4, Claude, or open-source models to the same workflow and compare outputs to pick the best fit for each task.
- **Document processing:** Ingest and analyse documents and datasets so agents can summarise content and answer questions from embedded domain knowledge.
- **Multi-platform integrations:** Deploy the same agent to Discord bots, Unreal Engine NPCs, Google AI services, or your own APIs through built-in connectors.
- **Rapid prototyping and custom nodes:** Test ideas in real time inside the editor, then fine-tune models or write custom nodes when the built-in ones are not enough.

**Strengths:** Node-based editor makes multi-step agent logic easier to read and share than a wall of prompting code; Model-agnostic design avoids lock-in to a single LLM vendor; Open-source licence allows customisation and self-hosting; Ships with document processing and platform connectors instead of leaving them as an exercise

**Limitations:** Currently labelled Open Beta, so features and interfaces may change; A visual graph still requires conceptual understanding of nodes, tools, and model limits; Metered usage means costs scale with agent traffic, which needs monitoring

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

## Frequently Asked Questions

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

Activepieces has 258,553 monthly visits, while Magick has 299. 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%; Magick has 0%.

### 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. Magick: Freemium. Magick is free to use as an open-source project and is currently in Open Beta. The site states that usage is billed on a metered basis, so you pay for the resources you consume rather than a fixed seat licence. Check the official site for the current beta terms and rates.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | The AI coding agent for building ambitious software | [.md](https://openaitools.app/tool/cursor.md) |
| 2 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Google's agent-first development platform for building and shipping software with AI agents | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 3 | [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) |
| 4 | [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) |
| 5 | [Hermes-Agent](https://openaitools.app/tool/hermes-agent-1) | 3,638,741 | -5.4% | Freemium | A free, open-source personal AI agent that learns your projects and works across every messaging app. | [.md](https://openaitools.app/tool/hermes-agent-1.md) |
| 6 | [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) |
| 7 | [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) |
| 8 | [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) |
| 9 | [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) |
| 10 | [Relevance AI](https://openaitools.app/tool/relevance-ai) | 192,083 | -15.5% | Free Trial, Contact for Pricing | Advanced multi-agent workforce builder for complex tasks, but less suited for traditional webhook integrations. | [.md](https://openaitools.app/tool/relevance-ai.md) |

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

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)
