Activepieces
FreemiumOpen-source AI-first automation with 704+ integrations and self-hosting.
By Tanmay Verma, Founder · Last verified 14 May 2026
3.8k views
Added 4/3/2026
80/100Safe BetOpen-source AI-first automation with 704+ integrations and self-hosting.
By Tanmay Verma, Founder · Last verified 14 May 2026
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Activepieces is a strong open-source alternative to Zapier, especially for AI-first automation. Its visual flow builder, 704+ integrations, and self-hosted option give it broad appeal. The focus on AI agents and team adoption (with gamification and impact analytics) sets it apart. However, the Community Edition lacks enterprise features like SSO and RBAC. If you need a Zapier-like platform with AI capabilities and data sovereignty, Activepieces is worth considering. Compare with n8n for self-hosted automation or Make for more visual complexity.
Compare with: Activepieces vs Budibase, Activepieces vs Appsmith, Activepieces vs Power Automate
Last verified: May 2026
Activepieces stands out as an open-source, AI-first automation platform with a refreshingly clean UI and strong emphasis on team adoption. The visual flow builder is intuitive, and the inclusion of AI agent capabilities (like Lead Qualifier, Daily Report, and Meeting Summarizer agents) directly addresses the growing need for AI in workflows. The self-hosted Community Edition (MIT licensed) gives you full control and unlimited runs for free, which is a significant advantage over proprietary tools like Zapier or Make. The pricing model is also unique: you pay per active flow ($5/flow/month) rather than per task or execution, making costs predictable and scaling affordable. For teams, the gamification features (leaderboards, badges) and impact analytics (cost savings, hours saved) encourage adoption and justify ROI to management. However, there are limitations. The Community Edition lacks enterprise-grade features like SSO, RBAC, and audit logs—you'll need the paid 'Automate' or 'Enterprise' tiers for those. The self-hosted setup can be challenging for non-technical users, though the cloud version is straightforward. Additionally, while the integrations library is extensive (704+), the community pieces may vary in quality. Overall, Activepieces is a compelling option if you value open source, AI integration, predictable pricing, and team adoption metrics. It's less suited for someone who wants a marketplace of pre-built templates like Zapier's.
Skip Activepieces if Skip Activepieces if you need a large marketplace of pre-built integrations without building your own flows, or if your team relies on dedicated support without an annual contract.
Explores prompt injection risks in AI agents and mitigation strategies for production systems.
Explains the concept of AI agent orchestration for managing multi-step tasks in business workflows.
How likely is Activepieces to still be operational in 12 months? Based on 6 signals including funding, development activity, and platform risk.
Activepieces is an open-source, AI-first automation platform designed to let you build AI agents and workflows using a visual builder. With over 704 integrations, it covers apps like Gmail, Slack, Notion, OpenAI, HubSpot, and more. You can use the cloud version (SOC 2 Type II, GDPR) or self-host for full data control. The platform emphasizes AI adoption across teams with features like AI adoption analytics, gamification (leaderboards, badges), and impact tracking showing cost savings. It offers enterprise governance tools like SSO, RBAC, and audit logs. The free tier includes 10 active flows and unlimited runs, while paid plans start at $5 per active flow per month. Activepieces is suitable for individuals to large enterprises seeking a Zapier alternative with AI capabilities and predictable pricing.
Concrete scenarios for the personas Activepieces actually fits — and what changes day-one when you adopt it.
You want to automate lead qualification from HubSpot forms.
Outcome: In 30 minutes, you build an AI agent that scores leads and sends Slack alerts to sales, saving 10 hours/week.
You need to self-host an automation platform for a client with strict data residency.
Outcome: You deploy the Community Edition via Docker in 1 hour, create flows with custom APIs, and run unlimited tasks without per-execution costs.
You need to roll out AI automation across your company with governance and SSO.
Outcome: You set up the cloud enterprise plan with SAML SSO, RBAC, and audit logs in 2 hours. Users adopt quickly thanks to leaderboards and impact analytics.
The Community Edition (self-hosted) lacks premium integrations and enterprise features like SSO, RBAC, and audit logs. Non-technical users may find the self-hosted setup complex. The free cloud tier limits you to 10 active flows (but unlimited runs). For advanced AI agents and governance, you need the paid 'Automate' or 'Enterprise' plans.
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
For each published Activepieces tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0
Ideal for
Solo creators or small teams exploring automation with under 10 active flows and wanting to try AI agents.
What this tier adds
Free entry point with 10 active flows, unlimited runs, AI agents, MCP servers, tables, and community support.
Pro
$10/mo
Self-Hosted
$0
The company stage and team size where Activepieces's pricing actually pencils out — and where peers do it cheaper.
Activepieces' pricing ($5/active flow/month) suits scaling teams because costs are predictable—you pay per flow, not per task. This is cheaper than Zapier's per-task model for heavy automations. The free tier (10 active flows) is generous. For large enterprises, the Enterprise plan (annual contract) includes needed governance. Compare with n8n (free self-hosted) for lower budget or Make for more visual complexity.
How long it actually takes to get something useful out of Activepieces — broken out by persona, not the marketing-page minute.
Cloud: first flow in 5 minutes (no signup friction). Self-hosted: 1 hour for Docker setup (needs technical skills). For enterprise: SSO and RBAC setup adds 2 hours. Team onboarding via gamification features can be done in a day.
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Pricing, brand, ownership, or deprecation changes worth knowing before you commit. Most-recent first.
Common stack mates teams adopt alongside Activepieces, with the specific reason each pairing earns its keep.
Activepieces vs N8n
Activepieces vs n8n both offer open-source automation, but they serve different primary audiences. Activepieces wins for teams wanting an AI-first, user-friendly platform with built-in adoption analytics and a free self-hosted tier—ideal for budget-conscious teams adopting AI at scale. n8n wins for developers and technical teams needing maximum flexibility with code nodes, native AI agent integration, and self-hosted data control for complex workflows. In 2026, the deciding factor is your team's technical level: choose Activepieces for a simpler AI-driven automation path, or n8n for deep customization and enterprise-grade self-hosting.
Activepieces vs Dify
Activepieces vs Dify: choose Activepieces if you need a general-purpose automation platform with AI agents and 704+ integrations for business workflows (CRM sync, email auto-categorization, human approval steps). Choose Dify if your primary goal is building and deploying LLM-powered applications (chatbots, RAG systems, SQL assistants) with visual workflow tools and dataset management. For most users looking for broad automation, Activepieces wins on integration breadth and lower entry price ($0 self-hosted with unlimited tasks). Dify wins for teams focused on LLM app development and deployment, offering a more specialized platform with A/B testing and model routing.
Activepieces vs Make
Activepieces vs Make: For teams prioritizing open-source flexibility, AI agent building, and enterprise self-hosting, Activepieces wins in 2026. Its free self-hosted tier with unlimited tasks and AI-native features (agent builder, adoption analytics) outpaces Make for developer-led and privacy-conscious teams. However, for non-technical users and small businesses needing a vast integration library (2000+) and intuitive scenario design, Make remains the better choice due to its lower learning curve and pre-built templates. The deciding factor is your team's technical capacity and need for AI automation – Activepieces leads there.
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Last calculated: May 2026
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