# Activepieces vs CompozyOS

Activepieces records 258,553 monthly visits with +1.5% month-over-month growth and Freemium pricing. CompozyOS records 1,768 monthly visits with -38.2% growth and Freemium, Contact for Pricing pricing.

| Metric | [Activepieces](https://openaitools.app/tool/activepieces) | [CompozyOS](https://openaitools.app/tool/compozy) |
| :--- | :--- | :--- |
| Website URL | https://www.activepieces.com | https://compozy.com |
| Categories | AI Workflow, No-Code&Low-Code, AI Code Assistant, AI Agent | AI Agent, AI Workflow, AI Developer Tools, AI Task Management |
| Pricing Model | Freemium | Freemium, Contact for Pricing |
| Monthly Visits | 258,553 | 1,768 |
| MoM Growth Rate | +1.5% | -38.2% |
| Primary Market | United States | Brazil |
| Direct Visits | 111,328 | 768 |
| Review Score | 4.6 | 4.6 |
| 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)

## CompozyOS

CompozyOS is built for developers who run several AI coding agents at once and lose track of them across terminals. Instead of juggling five prompts in five windows, you get a single control plane where every session lands in a clear state — Needs you, Working, Waiting, In review, or Done — and only the one requiring your decision stands out. It resells no model access: your own subscriptions and API keys stay yours, and the runtime just drives the CLIs you already have.

The core idea is "always-on" agents. You give an agent a name, a face, and one main session per project; it reviews its work on a schedule in a hidden read-only check-in that costs no model call when there is nothing to report, then surfaces a single card summarizing what happened. Sources such as GitHub issues or approved scripts feed it work, and it can propose actions up to a daily limit you set. Sessions can delegate to subagents, wake on events like a pull request finishing its checks, and continue with a different agent CLI when one runs out.

Beyond always-on agents, CompozyOS ships Loops (named contracts with a goal, a verification step, and a stop condition), Automations on schedules and signed webhooks, worktrees for parallel agents, a vault for secrets, MCP sign-in, and an extension marketplace. Everything is manageable from the web UI, the CLI, or HTTP, and the same job runs everywhere.

**Pricing & Plans:** Free and open source under the MIT license (78 releases at time of review). Model access is not resold — you bring your own subscriptions or API keys. Enterprise and custom deployment options are available by contacting the team.

- **One board for every agent session:** Sessions are grouped into Needs you, Working, Waiting, In review, and Done so you immediately see which agent is blocked on your decision.
- **Always-on check-ins:** Agents review their project on a schedule in hidden read-only sessions, stay quiet when nothing changed, and report back in a single card.
- **Loops with honest endings:** A Loop pairs a goal with a way to verify it and a stop; runs are iteration-capped and end as done, no-op, blocked, failed, exhausted, stalled, or canceled.
- **Schedules, triggers, and webhooks:** Put agent work on a cron-like schedule, a runtime trigger, or a signed webhook, with every run recorded automatically.
- **Extensible marketplace:** 15+ built-in agent integrations plus extensions, plugins, and MCP servers that share one marketplace, written in Go or TypeScript.

**Strengths:** Runs the agent CLIs you already use rather than locking you into one vendor; Local-first and MIT-licensed, with your subscriptions and API keys staying yours; Always-on agents and Loops make unattended, verifiable work practical; Same jobs managed from the web UI, the CLI, or HTTP

**Limitations:** Always-on check-ins require Claude, Codex, or OpenCode specifically; The feature set is broad (loops, extensions, MCP, automations) and takes time to learn; No Loops ship by default — you must write, fork, or install one

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

## Frequently Asked Questions

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

Activepieces has 258,553 monthly visits, while CompozyOS has 1,768. 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%; CompozyOS has -38.2%.

### 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. CompozyOS: Freemium, Contact for Pricing. Free and open source under the MIT license (78 releases at time of review). Model access is not resold — you bring your own subscriptions or API keys. Enterprise and custom deployment options are available by contacting the team.

## 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 | [Command Code](https://openaitools.app/tool/command-code) | 2,358,177 | -12.1% | Freemium, Contact for Pricing | The coding agent that learns your coding taste | [.md](https://openaitools.app/tool/command-code.md) |
| 6 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | Streamlined interface for deploying custom AI agents, but less flexible for traditional data integration pipelines. | [.md](https://openaitools.app/tool/mindstudio.md) |
| 7 | [T3 Code](https://openaitools.app/tool/t3-code) | 1,071,866 | +52.5% | Free | Open-source control plane for orchestrating coding agents | [.md](https://openaitools.app/tool/t3-code.md) |
| 8 | [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) |
| 9 | [Eigent AI](https://openaitools.app/tool/eigent-ai) | 575,703 | +1.4% | Freemium, Free Trial, Contact for Pricing | Open-source desktop AI workforce that runs browser, file, and app tasks for you | [.md](https://openaitools.app/tool/eigent-ai.md) |
| 10 | [Paperclip](https://openaitools.app/tool/paperclip-ing) | 533,830 | +56% | Free | Run a whole company of AI agents with org charts, goals and budgets | [.md](https://openaitools.app/tool/paperclip-ing.md) |

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

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