# Activepieces vs Sim AI

Activepieces records 258,553 monthly visits with +1.5% month-over-month growth and Freemium pricing. Sim AI records 140,953 monthly visits with +20.6% growth and Freemium, Paid (per user/month), and Enterprise with custom pricing; self-hosting free under Apache 2.0 pricing.

| Metric | [Activepieces](https://openaitools.app/tool/activepieces) | [Sim AI](https://openaitools.app/tool/sim-ai) |
| :--- | :--- | :--- |
| Website URL | https://www.activepieces.com | https://www.sim.ai |
| Categories | AI Workflow, No-Code&Low-Code, AI Code Assistant, AI Agent | AI Agent, AI Workflow, AI Knowledge Base, AI Developer Tools |
| Pricing Model | Freemium | Freemium, Paid (per user/month), and Enterprise with custom pricing; self-hosting free under Apache 2.0 |
| Monthly Visits | 258,553 | 140,953 |
| MoM Growth Rate | +1.5% | +20.6% |
| Primary Market | United States | India |
| Direct Visits | 111,328 | 73,826 |
| 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)

## Sim AI

Sim is an open-source AI workspace for companies that need to build, distribute and govern AI agents rather than run isolated prompts. It brings four connected products into one environment: Workflows for designing repeatable agent logic, Knowledge Base for grounding agents in internal documents, Tables for structured data agents can read and update, and Files for shared inputs, outputs and artifacts. A Logs product traces every run for debugging and cost visibility.
Teams can build through conversation in Chat, by arranging blocks on a visual canvas, or by writing code and using the CLI. Integration coverage is broad, with 270+ connectors spanning Slack, GitHub, Gmail, Notion, Salesforce, Jira, Linear, Supabase and Stripe, alongside every major LLM including OpenAI, Anthropic, Google, DeepSeek and xAI models. The Knowledge Base automatically syncs sources such as Notion, Google Drive, Confluence, Slack, GitHub and SharePoint, so agents answer from current content instead of stale snapshots.
Governance is the other half of the product. Administrators set permission groups for models, integrations and tools, define organization and per-member spend limits, retain audit records, and configure workspace data retention. Sim Cloud is available alongside self-hosting via Docker or Kubernetes under the Apache 2.0 license, with enterprise features gated by a license. The company publishes a Trust Center covering SOC 2 Type II, ISO 27001 and GDPR, and counts Rivian and eXp Realty as customers.

**Pricing & Plans:** Free forever on Sim Cloud with 1,000 one-time credits, 1 workspace and 5 GB storage. Pro is $25 per user/month (6,000 credits/month), Max is $100 per user/month (25,000 credits/month), and Enterprise is custom. Sim Cloud credits are worth $0.005 each, and the platform is free to self-host under Apache 2.0.

- **Build agents three ways:** Create agents by describing them in Chat, arranging blocks on a visual canvas, or writing code and CLI commands, and deploy the result without rebuilding it.
- **Knowledge Base with live sync:** Sync and auto-update documents from Notion, Google Drive, Confluence, Slack, GitHub and SharePoint so agents ground answers in current company knowledge.
- **Tables and Files:** Agents read and write structured data in Sim Tables and keep files and artifacts organized in one shared store across runs.
- **Execution logs and cost tracking:** Trace every agent run block by block with success rate, latency, execution cost and failure details for debugging and reporting.
- **Enterprise governance and self-hosting:** Manage SSO and SCIM provisioning, permission groups, model and tool access, spend limits, data retention and Docker or Kubernetes deployment.

**Strengths:** Open source under Apache 2.0 with free Docker and Kubernetes self-hosting; Four plans from Free to Enterprise, so teams can start without a sales call; 270+ integrations and every major LLM in one workspace; Knowledge Base auto-syncs from Notion, Drive, Confluence, Slack, GitHub and SharePoint

**Limitations:** Credit-based Cloud pricing can be harder to forecast than flat seat pricing; Enterprise governance features such as SSO, SOC 2 controls and self-hosted enterprise licensing sit above the Free plan; With 270+ integrations and four plan tiers, first-time setup requires deliberate configuration; Small Free plan limits (1 workspace, 5 GB storage, 30-day log retention) push team use toward paid tiers

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

## Frequently Asked Questions

### How do Activepieces and Sim AI compare in monthly traffic?

Activepieces has 258,553 monthly visits, while Sim AI has 140,953. 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%; Sim AI has +20.6%.

### 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. Sim AI: Freemium, Paid (per user/month), and Enterprise with custom pricing; self-hosting free under Apache 2.0. Free forever on Sim Cloud with 1,000 one-time credits, 1 workspace and 5 GB storage. Pro is $25 per user/month (6,000 credits/month), Max is $100 per user/month (25,000 credits/month), and Enterprise is custom. Sim Cloud credits are worth $0.005 each, and the platform is free to self-host under Apache 2.0.

## 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 | Automate work across thousands of apps — no code required | [.md](https://openaitools.app/tool/zapier-com.md) |
| 2 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Provides vastly superior general workflow automation and node variety, but with slightly less specialized native LLM evaluation tooling. | [.md](https://openaitools.app/tool/n8n.md) |
| 3 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | Offers an intuitive no-code builder for custom agents, but is a commercial platform without Sim AI's open-source flexibility. | [.md](https://openaitools.app/tool/mindstudio.md) |
| 4 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Offers a more polished visual canvas for RAG pipelines and LLM apps, but requires more setup for external API integrations. | [.md](https://openaitools.app/tool/dify-ai.md) |
| 5 | [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) |
| 6 | [Tines](https://openaitools.app/tool/tines) | 273,260 | +24.4% | Freemium, Contact for Pricing | Provides enterprise-grade security and robust incident response workflows, but lacks native visual RAG knowledge base management. | [.md](https://openaitools.app/tool/tines.md) |
| 7 | [Relevance AI](https://openaitools.app/tool/relevance-ai) | 192,083 | -15.5% | Free Trial, Contact for Pricing | Excels at building multi-agent workforces for business tasks, but lacks Sim AI's deep focus on open-source code-first flexibility. | [.md](https://openaitools.app/tool/relevance-ai.md) |
| 8 | [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) |
| 9 | [Coze](https://openaitools.app/tool/coze) | 177,539 | -33.3% | Freemium | Strong multi-channel publishing capabilities for AI agents, but less comprehensive for multi-step backend data pipelines. | [.md](https://openaitools.app/tool/coze.md) |
| 10 | [Agno](https://openaitools.app/tool/agno) | 140,302 | -3.3% | Contact for Pricing, Free | Provides a powerful Python-first framework for building model-agnostic agents, but lacks Sim AI's drag-and-drop visual workflow canvas. | [.md](https://openaitools.app/tool/agno.md) |

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

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