Activepieces vs Make
A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.
Short answer: choose Activepieces if you want open-source, ai-first automation platform with no-code ai agents and mcp (Supervised agent, freemium); choose Make if you want visual automation platform that added reasoning ai agents to workflows (Supervised agent, freemium).
| Activepieces | Make | |
|---|---|---|
| What it is | Open-source, AI-first automation platform with no-code AI agents and MCP | Visual automation platform that added reasoning AI agents to workflows |
| Type | platform | product-with-agents |
| Autonomy | Supervised agent | Supervised agent |
| Pricing | freemium · Self-hosted free; Cloud free for 10 active flows, then $5/active flow/mo | freemium · Free tier (1,000 credits/mo); Core from $12/mo (annual) |
| Best for | smb, mid-market, developers, enterprise | smb, mid-market, enterprise, developers |
| Deployment | saas, self-hosted, on-prem, api | saas, api |
| Modalities | text, code, api, email | text, api |
| Models | model-agnostic, gpt, claude | model-agnostic, gpt, claude |
| Protocols | mcp, function-calling, rest-api | mcp, rest-api, function-calling |
| Integrations | OpenAI, Anthropic Claude, Slack, Gmail, Notion, HubSpot | Slack, Google Workspace, OpenAI, Anthropic, HubSpot, Salesforce |
| Capabilities | 4 documented | 4 documented |
Activepieces
- +Genuinely open source: the Community Edition is MIT-licensed and free to self-host with no task limits
- +AI-first design: no-code AI agents plus native MCP, so every integration doubles as a tool for AI assistants
- +Large and community-driven piece library (700+ apps, ~60% of pieces contributed by the community)
- -Enterprise security controls (SSO, RBAC, audit logs, Git sync) are gated behind the custom Ultimate/enterprise tier
- -Self-hosting shifts backups, security updates, scaling, and infra cost onto you
Make
- +Mature visual builder with thousands of app integrations, now extended with reasoning AI Agents
- +AI Agents are built no-code in the same canvas and can be reused across workflows with attached tools and knowledge
- +Credit-based pricing with a free tier makes entry cheap; MCP support for extending tool access
- -Classic scenarios are deterministic, not agents; only the newer AI Agent module reasons and decides
- -Credit-based metering can get hard to predict as agent and scenario usage scales
Which should you choose?
Activepieces is open-source, ai-first automation platform with no-code ai agents and mcp, best for smb, mid-market, developers, enterprise. Make is visual automation platform that added reasoning ai agents to workflows, best for smb, mid-market, enterprise, developers. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.