# Activepieces vs Microbots AI Platform

Activepieces records 258,553 monthly visits with +1.5% month-over-month growth and Freemium pricing. Microbots AI Platform records 0 monthly visits with — growth and Freemium pricing.

| Metric | [Activepieces](https://openaitools.app/tool/activepieces) | [Microbots AI Platform](https://openaitools.app/tool/microbots-ai-platform) |
| :--- | :--- | :--- |
| Website URL | https://www.activepieces.com | https://chromewebstore.google.com/detail/microbots-ai-platform/hngdmcionlmppcocllaidicjppchaagb |
| Categories | AI Workflow, No-Code&Low-Code, AI Code Assistant, AI Agent | AI Workflow, Large Language Models (LLMs), No-Code&Low-Code |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 258,553 | 0 |
| MoM Growth Rate | +1.5% | — |
| Primary Market | United States | Global |
| Direct Visits | 111,328 | 0 |
| Review Score | 4.6 | 1.9 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Browser Extension |

## 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)

## Microbots AI Platform

The extension is built for automation developers and testers who would rather describe a flow than hand-write the selectors and steps. It reads the current page, strips out HTML that is irrelevant to automation, and packages the remainder into a precise prompt for GPT-3.5 or GPT-4. The model then returns a script that typically works out of the box, most often in Puppeteer, although the generated language can be switched to Python Selenium or something else by editing the prefix.

Beyond one-shot generation, the extension includes a "Fix the Code" feature: you can paste new instructions or an error message and ask the model to repair the script. A Code Notepad lets you hold intermediate code or fragments when the flow needs several passes. The project describes itself as an experiment in how automation development might look in the future, with the developer role reduced to reviewing and adjusting AI output rather than writing boilerplate.

Important practical notes: the extension is free of charge, but it does not include an API key. You must create an account on the OpenAI platform, add a billing method and supply your own key. The key is stored in the browser's local storage and used only to send requests to OpenAI servers, and the developer states that no user data is collected. Costs are billed by OpenAI directly — roughly $0.01–$0.10 per query on GPT-3.5 and $0.10–$1 on GPT-4 according to the listing.

**Pricing & Plans:** The extension itself is free; you pay OpenAI directly for API usage, which the developer estimates at roughly $0.01–$0.10 per GPT-3.5 query and $0.10–$1 per GPT-4 query.

- **Prompt from any web page:** The extension trims a page's HTML down to automation-relevant elements and builds a precise prompt automatically.
- **GPT-3.5 and GPT-4 support:** Choose between a fast, inexpensive model and a more capable one depending on task complexity and budget.
- **Multiple output languages:** Generates Puppeteer by default, with Python Selenium or other targets available by editing the prompt prefix.
- **Fix the Code:** Paste an error or new instruction and have the model correct or extend the existing script.
- **Code Notepad:** Store intermediate snippets and notes when a flow needs to be built in several steps.

**Strengths:** Free and open to install, with no subscription from the developer; Accepts a plain-language description of the flow rather than hand-coded selectors; Supports both a cheap model (GPT-3.5) and a stronger one (GPT-4); Includes repair and notepad tools for multi-pass work

**Limitations:** Requires your own paid OpenAI API key to function; Last updated in 2023, and it describes itself as a non-commercial experiment; Small install base and no user ratings, so reliability evidence is limited

[Profile (Markdown)](https://openaitools.app/tool/microbots-ai-platform.md)

## Frequently Asked Questions

### How do Activepieces and Microbots AI Platform compare in monthly traffic?

Activepieces has 258,553 monthly visits, while Microbots AI Platform has 0. 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%; Microbots AI Platform has —.

### 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. Microbots AI Platform: Freemium. The extension itself is free; you pay OpenAI directly for API usage, which the developer estimates at roughly $0.01–$0.10 per GPT-3.5 query and $0.10–$1 per GPT-4 query.

## 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 | [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 | [KaneAI](https://openaitools.app/tool/kaneai) | 901,340 | +13.2% | Freemium, Paid, Contact for Pricing | GenAI-native end-to-end QA agent that plans, writes and heals tests in plain language | [.md](https://openaitools.app/tool/kaneai.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 | [Open WebUI](https://openaitools.app/tool/open-webui) | 804,534 | -2.8% | Freemium | Self-hosted AI workspace for local and cloud models | [.md](https://openaitools.app/tool/open-webui.md) |
| 7 | [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) |
| 8 | [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) |
| 9 | [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) |
| 10 | [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) |

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Source: https://openaitools.app/compare/activepieces-vs-microbots-ai-platform

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