# Activepieces vs Toolhouse

Activepieces records 258,553 monthly visits with +1.5% month-over-month growth and Freemium pricing. Toolhouse records 4,326 monthly visits with -17.4% growth and Freemium pricing.

| Metric | [Activepieces](https://openaitools.app/tool/activepieces) | [Toolhouse](https://openaitools.app/tool/toolhouse) |
| :--- | :--- | :--- |
| Website URL | https://www.activepieces.com | https://toolhouse.ai |
| Categories | AI Workflow, No-Code&Low-Code, AI Code Assistant, AI Agent | AI Agent, AI API, AI Developer Tools, Large Language Models (LLMs) |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 258,553 | 4,326 |
| MoM Growth Rate | +1.5% | -17.4% |
| Primary Market | United States | United States |
| Direct Visits | 111,328 | 1,711 |
| Review Score | 4.6 | 4.2 |
| 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)

## Toolhouse

Toolhouse has repositioned from LLM infrastructure toward a managed "AI worker" service that delivers completed work rather than chat. The core loop is simple: you send a task by email or Slack message, an AI worker plans it, uses your connected tools to execute it, and sends you back the finished artifact — a quote comparison, a market analysis, a campaign draft. This is a meaningfully different model from a chat assistant that leaves you to copy the output somewhere else.

Integration breadth is the backbone of the product. Toolhouse connects to 5,000+ services including Gmail, Slack, Salesforce, HubSpot, Notion, Google Sheets, Zendesk, Twilio and QuickBooks, so workers can send the email, update the CRM record or log the ticket on their own. It is model-agnostic and uses deterministic agents grounded on your data, and it exposes an MCP server so teams can extend it with any tool using the open protocol.

Toolhouse markets itself for AI marketing, AI sales and AI support, with concrete scenarios like document processing, policy abstraction, knowledge assistants and outbound lead generation. A per-request Go plan keeps entry costs low, spend caps and a KPI dashboard keep agents accountable, and an enterprise Business tier adds volume discounts, private cloud, custom data retention and forward-deployed engineering for regulated organisations.

**Pricing & Plans:** Toolhouse offers a Go plan at $5 per 1,000 requests for teams ready to put agents to work, including sales, marketing and support agents, 5,000+ integrations, an MCP server and a KPI dashboard. A Business tier adds volume credit pricing, security review support and a DPA, invoicing, forward-deployed engineering, private cloud deployments, custom data retention and dedicated onboarding, quoted on request. Free AI usage is included on every plan.

- **Delegate work by email or chat:** Email or message a worker a task in plain language and it plans the job and executes it, exactly like delegating to a person.
- **5,000+ tool integrations:** Workers plug into Gmail, Slack, Salesforce, HubSpot, Notion, Google Sheets, Zendesk and 5,000+ other services with no custom code.
- **Model-agnostic AI workers:** Use the models you prefer across providers and switch anytime, backed by deterministic agents grounded on your own data.
- **MCP server extensibility:** Extend Toolhouse with any tool via the open MCP protocol so your workers can reach further without bespoke plumbing.
- **KPI dashboard and spend caps:** Track each agent's return on investment and set spend caps so usage stays within budget.
- **Always-on background execution:** Workers run in the cloud and keep completing tasks in Slack and Microsoft Teams even when your laptop is powered off.

**Strengths:** Workers return finished deliverables instead of raw chat output; Model-agnostic architecture avoids vendor lock-in; 5,000+ integrations let agents actually act in your tools; Spend caps and KPI dashboards keep usage accountable

**Limitations:** Per-request pricing is cheap at the low end but can scale with heavy workloads; Business-tier terms and private cloud require a sales cycle; Non-technical users may still need help shaping their first agents; Deterministic agents grounded on your data need data preparation to shine

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

## Frequently Asked Questions

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

Activepieces has 258,553 monthly visits, while Toolhouse has 4,326. 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%; Toolhouse has -17.4%.

### 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. Toolhouse: Freemium. Toolhouse offers a Go plan at $5 per 1,000 requests for teams ready to put agents to work, including sales, marketing and support agents, 5,000+ integrations, an MCP server and a KPI dashboard. A Business tier adds volume credit pricing, security review support and a DPA, invoicing, forward-deployed engineering, private cloud deployments, custom data retention and dedicated onboarding, quoted on request. Free AI usage is included on every plan.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Manus](https://openaitools.app/tool/manus) | 19,195,779 | -1.7% | Free Trial | A general-purpose AI agent that executes tasks, not just answers them | [.md](https://openaitools.app/tool/manus.md) |
| 2 | [Zapier](https://openaitools.app/tool/zapier-com) | 5,065,248 | +0.4% | Freemium, Free Trial, Paid | Automate work across thousands of apps — no code required | [.md](https://openaitools.app/tool/zapier-com.md) |
| 3 | [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) |
| 4 | [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) |
| 5 | [TraeWork](https://openaitools.app/tool/traework) | 2,785,249 | -7.8% | Contact for Pricing | ByteDance's AI-native workspace for natural-language task execution | [.md](https://openaitools.app/tool/traework.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 | [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) |
| 8 | [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) |
| 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 | [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-toolhouse

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