# Activepieces vs BuildingAI (FastbuildAI)

Activepieces records 258,553 monthly visits with +1.5% month-over-month growth and Freemium pricing. BuildingAI (FastbuildAI) records 0 monthly visits with -100% growth and Free pricing.

| Metric | [Activepieces](https://openaitools.app/tool/activepieces) | [BuildingAI (FastbuildAI)](https://openaitools.app/tool/fastbuildai) |
| :--- | :--- | :--- |
| Website URL | https://www.activepieces.com | https://www.fastbuildai.com |
| Categories | AI Workflow, No-Code&Low-Code, AI Code Assistant, AI Agent | AI Developer Tools, AI App Builder, Open Source AI Models, AI Agent |
| Pricing Model | Freemium | Free |
| Monthly Visits | 258,553 | 0 |
| MoM Growth Rate | +1.5% | -100% |
| Primary Market | United States | Japan |
| Direct Visits | 111,328 | 0 |
| 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)

## BuildingAI (FastbuildAI)

BuildingAI is best understood as "WordPress for the AI era": instead of writing an AI platform from scratch, you download the source from the public GitHub/Gitee repositories, run the guided Docker installer, and then assemble AI applications from modular components. The core ships with a mature RAG knowledge base, visual agent orchestration that also imports Coze and Dify agents, a draggable workflow canvas, MCP tool support, a model marketplace covering mainstream global LLMs as well as local Ollama deployments, and flexible compute-credit billing.

On top of those primitives the project adds the commercial scaffolding most self-hosted AI stacks lack: configurable subscription tiers, WeChat/Alipay/Stripe payment hooks, phone/account/QR login, department-level permissions, multi-language and multi-client configuration (web, PC desktop, mini-program, H5 and app). The companion application marketplace lets third-party developers publish and sell pluggable AI apps, and everything is delivered as source code so private deployment and local-model hosting are first-class options.

The team publishes a public, auditable open-source roadmap that labels each capability as already open source, in progress, or planned. Typical ways people use it include AI chat-and-image systems, enterprise agent platforms, 24/7 customer-service assistants, e-commerce copywriting tools, academic and legal document assistants, and campus or industrial helpers. Because it is a toolkit you host yourself, the cost is whatever you pay for the servers and model API calls you choose to attach.

**Pricing & Plans:** The core BuildingAI framework is free and open source under Apache-2.0, downloadable from public GitHub/Gitee repositories and licensed for commercial use. An enhanced Enterprise edition is offered on a quotation basis for professional customers; your only other costs are the servers, storage and model API usage you connect.

- **Modular "building block" architecture:** Core AI capabilities are decomposed into modules with a plugin layer for custom functionality, so you compose systems by assembling components such as knowledge base, agent or workflow rather than coding from zero.
- **Visual agent and workflow orchestration:** Build agents on a drag-and-drop canvas, attach knowledge bases, import/export agents via DSL, and interoperate with Coze, Dify and MCP-based tools.
- **Built-in RAG knowledge base:** Create structured, extensible knowledge stores, import multiple document formats, and share editing/management rights with collaborators through role-based permissions.
- **Model marketplace and local model support:** Connect mainstream global large language models and AIGC image models, or run fully local inference through Ollama, with unified key management.
- **Commercialization ready:** Configurable membership tiers, compute-credit billing, WeChat/Alipay/Stripe payments and multi-channel login let you launch and charge users immediately after deploying.

**Strengths:** Genuinely open source under Apache-2.0 with public GitHub and Gitee repositories and a transparent, auditable roadmap; Unusually complete feature set out of the box: RAG, agents, workflows, MCP, model management, subscriptions and payments in one package; Source-code delivery enables private deployment, local model hosting and deep secondary development; Comparison table and ready-made application templates let you target concrete vertical scenarios instead of starting from a blank canvas

**Limitations:** Documentation and the primary community are heavily Chinese-language, which raises the learning curve for non-Chinese teams; Because it is a full platform rather than a narrow tool, initial setup and configuration effort is substantial; Public site availability can be inconsistent for some crawlers/regions (its own domain serves an invalid TLS certificate for some clients)

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

## Frequently Asked Questions

### How do Activepieces and BuildingAI (FastbuildAI) compare in monthly traffic?

Activepieces has 258,553 monthly visits, while BuildingAI (FastbuildAI) 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%; BuildingAI (FastbuildAI) has -100%.

### 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. BuildingAI (FastbuildAI): Free. The core BuildingAI framework is free and open source under Apache-2.0, downloadable from public GitHub/Gitee repositories and licensed for commercial use. An enhanced Enterprise edition is offered on a quotation basis for professional customers; your only other costs are the servers, storage and model API usage you connect.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) | 111,910,743 | +2.2% | Freemium | Autonomous enterprise AI agents and CRM intelligence powered by Salesforce Data 360 and Atlas. | [.md](https://openaitools.app/tool/salesforce-einstein.md) |
| 2 | [Base44](https://openaitools.app/tool/base44) | 14,039,232 | +0.5% | Freemium, Paid, Contact for Pricing | Build working apps, websites, and AI agents by describing them | [.md](https://openaitools.app/tool/base44.md) |
| 3 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Run and build with open AI models locally or in the cloud | [.md](https://openaitools.app/tool/ollama.md) |
| 4 | [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) |
| 5 | [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) |
| 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 | [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) |
| 9 | [Baserow](https://openaitools.app/tool/baserow) | 391,705 | -5.9% | Freemium, Contact for Pricing | Open-source no-code database, app builder and automation platform | [.md](https://openaitools.app/tool/baserow.md) |
| 10 | [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) |

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

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