# Activepieces vs Envole

Activepieces records 258,553 monthly visits with +1.5% month-over-month growth and Freemium pricing. Envole records 690 monthly visits with +174.9% growth and Contact for Pricing pricing.

| Metric | [Activepieces](https://openaitools.app/tool/activepieces) | [Envole](https://openaitools.app/tool/envole) |
| :--- | :--- | :--- |
| Website URL | https://www.activepieces.com | https://envole.ai |
| Categories | AI Workflow, No-Code&Low-Code, AI Code Assistant, AI Agent | AI Agent, AI Workflow, No-Code&Low-Code, AI Chatbot |
| Pricing Model | Freemium | Contact for Pricing |
| Monthly Visits | 258,553 | 690 |
| MoM Growth Rate | +1.5% | +174.9% |
| Primary Market | United States | Italy |
| Direct Visits | 111,328 | 273 |
| Review Score | 4.6 | 4 |
| 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)

## Envole

Envole describes itself as an "AI system of action for agentic software delivery." The core problem it targets is fragmentation: customer intent lives in one tool, requirements in another, designs in a third, and coding agents build from briefs that have already lost the reasoning behind them. Envole instead creates a shared context layer where signals, decisions, artifacts, code, and tests stay connected back to their source.

The workflow runs through three stages. First, capture: meetings, tickets, messages, documents, and diagrams are collected into one living record that preserves what was said and decided. Second, contextualize: Envole surfaces requests, decisions, risks, blockers, and scope changes with source evidence and customer impact, so teams can decide what to build and why. Third, create: approved intent flows into requirements, working prototypes generated from the real product's components, reviewable technical designs, scoped work items, implementation through preferred IDEs and coding agents, tests, and finally feedback that returns to the next cycle.

A traceability layer ties every artifact to its originating customer need, so teams can see what changed, why, and what needs attention. Envole markets itself as scaffolding for the whole lifecycle rather than a single-purpose code assistant, keeping humans in the loop for review and decisions while agents handle execution. Pricing is not published on the site; the product is sold through a book-a-demo motion aimed at B2B teams.

**Pricing & Plans:** Pricing is not published publicly. Envole offers a login plus a "Book a Demo" flow, indicating custom or contact-based enterprise pricing. Check the site for current commercial terms.

- **Shared context layer:** Customer signals, decisions, artifacts, code, and tests remain connected to their source and to each other, so reasoning is never lost between handoffs.
- **Capture from real work:** Meetings, tickets, messages, documents, diagrams, and support conversations are pulled into one living record that preserves what was said and decided.
- **Signal triage with evidence:** Requests, risks, blockers, and scope changes surface with source evidence and customer impact so teams can decide what to build and why.
- **Prototypes from approved requirements:** Working prototypes are generated with AI from approved requirements using the real product and its existing components, before implementation starts.
- **Intent tracing and verification:** Every artifact traces back to the customer need it came from, and implementation is evaluated against approved intent, constraints, and acceptance criteria.

**Strengths:** Connects the full lifecycle from customer intent to shipped code instead of automating one isolated step; Keeps provenance and evidence attached to every decision and artifact, reducing drift and rework; Supports your existing IDEs, repositories, coding agents, and issue trackers rather than replacing them; Multiplayer by design, so product, design, engineering, and QA share one operating model

**Limitations:** No public pricing or self-serve signup, so evaluation requires contacting sales; Value depends on teams adopting the shared context layer broadly, which is an organizational change, not just a tool install

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

## Frequently Asked Questions

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

Activepieces has 258,553 monthly visits, while Envole has 690. 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%; Envole has +174.9%.

### 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. Envole: Contact for Pricing. Pricing is not published publicly. Envole offers a login plus a "Book a Demo" flow, indicating custom or contact-based enterprise pricing. Check the site for current commercial terms.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [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) |
| 2 | [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) |
| 3 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Powerful open-source workflow automation with robust self-hosting options, but steeper learning curve than Activepieces. | [.md](https://openaitools.app/tool/n8n.md) |
| 4 | [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) |
| 5 | [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) |
| 6 | [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) |
| 7 | [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) |
| 8 | [Augment Code](https://openaitools.app/tool/augment-code) | 326,215 | +24.1% | Freemium, Free Trial, Contact for Pricing | Agent orchestration platform for your whole software development lifecycle | [.md](https://openaitools.app/tool/augment-code.md) |
| 9 | [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) |
| 10 | [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) |

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

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