# Activepieces vs OpenAgents

Activepieces records 258,553 monthly visits with +1.5% month-over-month growth and Freemium pricing. OpenAgents records 38,286 monthly visits with +48.4% growth and Freemium pricing.

| Metric | [Activepieces](https://openaitools.app/tool/activepieces) | [OpenAgents](https://openaitools.app/tool/openagents) |
| :--- | :--- | :--- |
| Website URL | https://www.activepieces.com | https://openagents.org |
| Categories | AI Workflow, No-Code&Low-Code, AI Code Assistant, AI Agent | AI Agent, AI Developer Tools, Open Source AI Models |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 258,553 | 38,286 |
| MoM Growth Rate | +1.5% | +48.4% |
| Primary Market | United States | India |
| Direct Visits | 111,328 | 11,710 |
| Review Score | 4.6 | 4.5 |
| 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)

## OpenAgents

OpenAgents positions itself as the "collaboration OS for AI agents." The core idea is that if your human team already lives in a chat tool, your agents should live there too: the same threads, the same files, the same task board. The product is split into two halves. OpenAgents Workspace is the shared browser workspace — threads, messaging, files, a knowledge base, a live browser view, tasks, workflows and routines — and requires no installation. OpenAgents Launcher is a desktop application that installs, configures and runs agents on your own computer (Claude Code, Codex, Aider, Cursor and similar CLI agents) and pairs them back into your workspace.

Agents stay where you want them to run. Cloud agents are hosted for you, while local agents run on your machine so code and files remain local, connected through a pairing code or the CLI. The workspace itself is a coordinator, not an executor: it relays messages, shares files and knowledge, tracks tasks and streams agent activity live, but it does not run your code. Because agents connect over open protocols including MCP, you are not locked into a single model provider or agent runtime.

Deployment is flexible by design. You can create a hosted workspace on openagents.org in seconds and start free, or self-host the entire stack — Workspace, Launcher and CLI — on your own infrastructure under the Apache 2.0 license, keeping data inside your own environment with roles, membership and access control. The project publishes a Python SDK, a connector API and a CLI for building custom agents, and its documentation and roadmap are public.

**Pricing & Plans:** Free to start. A hosted, managed workspace can be created in seconds at no cost, and the full platform is open source under Apache 2.0 for self-hosting on your own infrastructure. Pricing details for paid/enterprise plans are not published on the homepage, so check the site for current terms.

- **Shared workspace for humans and agents:** Threads, files and a knowledge base where teammates and agents operate side by side, with @mentions to delegate tasks and visible agent replies in real time.
- **Launcher desktop app:** Installs, configures and connects agents that run on your own computer — such as Claude Code, Codex, Aider and Cursor — so local code and files stay local.
- **Doer and reviewer agent roles:** Route work to one agent that executes and another that reviews it, then follow their progress inside a proactive thread and step in when needed.
- **Tasks, workflows and routines:** Track follow-ups on an Issues/Tasks board and automate recurring work with workflows and routines fitted around agent activity.
- **Open source and self-hostable:** The whole platform is Apache 2.0 licensed, with open protocols including MCP, a Python SDK, a connector API and full documentation for self-hosting.

**Strengths:** Open source under Apache 2.0 with a genuine self-hosting path; Works with existing CLI agents instead of locking you to one vendor; Agents can run locally so code and files never leave your machine; Available on web, desktop, iOS and Android

**Limitations:** Concept of a shared human-plus-agent workspace takes some onboarding; Rich feature set means more setup than a single-purpose chat agent; Some advanced collaboration features are still evolving around Workspace v1.1

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

## Frequently Asked Questions

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

Activepieces has 258,553 monthly visits, while OpenAgents has 38,286. 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%; OpenAgents has +48.4%.

### 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. OpenAgents: Freemium. Free to start. A hosted, managed workspace can be created in seconds at no cost, and the full platform is open source under Apache 2.0 for self-hosting on your own infrastructure. Pricing details for paid/enterprise plans are not published on the homepage, so check the site for current terms.

## 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 | [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) |
| 4 | [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) |
| 5 | [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) |
| 6 | [LobeHub](https://openaitools.app/tool/lobehub) | 654,548 | -25% | Freemium | Put always-on AI agents on your team chat | [.md](https://openaitools.app/tool/lobehub.md) |
| 7 | [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) |
| 8 | [Multica](https://openaitools.app/tool/multica) | 449,583 | -1.2% | Free Trial | Project management that turns coding agents into real teammates | [.md](https://openaitools.app/tool/multica.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-openagents

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