The verdict
Activepieces and n8n share the same pitch — open-source, self-hostable automation with AI — so the differences are in maturity, licensing, and depth. Activepieces is younger and permissively MIT-licensed, with AI agents available on every tier and strong MCP support. n8n is more established, with the deepest AI/LLM orchestration, 400+ integrations, and flexible JavaScript/Python code nodes, backed by a much larger community. For most teams starting out, n8n is the safer default thanks to its maturity and AI depth; choose Activepieces if you specifically need MIT licensing or want AI agents on a free tier.
Activepieces wins for
Teams wanting a permissive MIT license and simple AI agents from day one
n8n wins for
Teams wanting the most mature ecosystem and the deepest AI/RAG capabilities
From our builds
The practical split we see: Activepieces gets a simple agent flow running faster because AI agents are on every tier, including free. But the moment a build needs RAG or a vector store, we reach for n8n — its LangChain-based stack has the pieces Activepieces doesn't yet match. Licensing (MIT versus n8n's fair-code) only becomes a real factor once you plan to resell the hosted product, not for internal use.
At a glance
The highlighted cell wins each row. Ties show both sides neutral.
| Aspect | Activepieces | n8n |
|---|---|---|
| Best for | MIT-licensed AI automation | Mature AI-first automation |
| License | MIT (permissive) | Sustainable-use / fair-code |
| Self-hosting | Yes, free | Yes, free |
| AI features | AI agents on every tier + MCP | Strongest overall (RAG, agents, LangChain) |
| Integrations | 680+ pieces + 400+ MCP servers | 400+ nodes |
| Maturity & community | Younger, smaller | Larger, more proven |
| Custom code | Code pieces | Code nodes (JS/Python) |
| Free tier (cloud) | 1,000 tasks/mo, 2 flows, AI agents | Free self-hosted; cloud trials |
Swipe the table sideways to see both columns.
Scorecard
How we score: Scores are our 0-10 editorial take for non-technical founders (10 = best-in-class), based on each tool's 2026 capabilities — not vendor benchmarks.
| Dimension | Activepieces | n8n |
|---|---|---|
| Ease for non-developersActivepieces is simpler and cleaner; n8n has more surface to learn | 8.0 | 6.0 |
| AI depthn8n's RAG, vector stores, and LangChain stack go deeper | 8.0 | 10.0 |
| Licensing opennessActivepieces is fully MIT; n8n uses a fair-code sustainable-use license | 10.0 | 7.0 |
| Integrations breadthActivepieces has more pieces plus MCP; n8n has mature nodes | 8.0 | 8.0 |
| Maturity & ecosystemn8n is more established with a bigger community and docs | 6.0 | 9.0 |
| Custom logicn8n's JS/Python code nodes are more flexible | 7.0 | 9.0 |
| Cost at scaleBoth self-host for free; you pay only for your server | 9.0 | 9.0 |
Swipe the table sideways to see both columns.
Deep dive
Licensing
Activepieces
Activepieces is MIT-licensed — one of the most permissive open-source licenses — so you can self-host, modify, and even build commercial products on top with minimal restrictions.
n8n
n8n uses a fair-code sustainable-use license: free to self-host and use internally, but with limits on offering it as a competing hosted service.
Verdict: Activepieces wins for teams that need maximum licensing freedom.
AI capabilities
Activepieces
Activepieces puts AI agents on every tier, including free, and leans into MCP with 400+ MCP servers, making it modern and agent-friendly.
n8n
n8n has the deepest AI stack overall — an AI Agent node, all major LLMs, vector stores, RAG, memory, and parsers via LangChain — best for complex AI pipelines.
Verdict: Activepieces for accessible agents everywhere; n8n for the deepest, most configurable AI workflows.
Integrations
Activepieces
Activepieces ships 680+ pieces plus 400+ MCP servers, a broad and modern connector set.
n8n
n8n's 400+ nodes are mature and well-tested, and HTTP/Code nodes reach any API.
Verdict: Roughly tied — Activepieces has more raw connectors and MCP, n8n's are more battle-tested.
Maturity & community
Activepieces
Activepieces is younger, with a smaller community and less documentation and fewer prebuilt enterprise connectors.
n8n
n8n is more established (founded 2019, 174K+ GitHub stars) with a large community, extensive docs, and a proven track record.
Verdict: n8n wins on maturity, which matters when you hit an edge case.
Custom logic & flexibility
Activepieces
Activepieces supports code pieces for custom steps, capable but less open-ended.
n8n
n8n's Code nodes run JavaScript or Python and its HTTP nodes hit any API, giving deep flexibility.
Verdict: n8n edges ahead for developers who want to drop into code.
Pricing face-off
Activepieces
Free
$0
1,000 tasks/mo, 2 active flows, AI agents on all tiers including free
Plus
$25/mo
Unlimited tasks + AI agents; self-hosting is free (MIT)
n8n
Self-hosted
$0 (software)
Open-source, unlimited executions, pay only for your server
Cloud Starter
€20/mo
2,500 executions; Pro €50/mo for 10,000 executions
Value verdict
Both are free to self-host, so at scale the real cost is your server either way. Activepieces' cloud free tier is more generous for AI agents (available even on free), while n8n's cloud gives more execution headroom on paid tiers. If licensing freedom matters, Activepieces (MIT) has the edge; if ecosystem maturity matters, n8n is worth its price.
Pros & cons
Activepieces
- Permissive MIT license
- AI agents on every tier, including free
- Strong MCP support (400+ servers)
- Clean, simple interface
- Younger with a smaller community
- Fewer prebuilt enterprise connectors
- Less documentation and track record
- Code steps less flexible than n8n's
n8n
- Most mature ecosystem and community
- Deepest AI/LLM stack (RAG, agents, LangChain)
- Flexible Code nodes (JS/Python)
- Free to self-host with proven reliability
- Steeper learning curve
- Fair-code license less permissive than MIT
- Self-hosting requires ops effort
- Losing the encryption key loses all credentials
Winner by use case
You need a permissive license for a commercial product
Its MIT license imposes minimal restrictions on building on top.
Complex AI pipeline with RAG and vector stores
Its deep LangChain-based AI stack is the most capable.
AI agents on a free plan
Agents are available on every tier, including free.
You'll hit edge cases and want mature docs
A larger community and richer documentation make troubleshooting easier.
MCP-first automation
It leans into MCP with 400+ MCP servers out of the box.
Which one to choose
Choose Activepieces if…
- You need a permissive MIT license
- You want AI agents on every tier
- MCP support matters to you
- You prefer a simpler, cleaner interface
Choose n8n if…
- You want the most mature ecosystem
- You need the deepest AI/RAG capabilities
- You want JavaScript or Python code nodes
- You value a large community and documentation
Switching between them
There's no one-click converter. You recreate each n8n workflow as an Activepieces flow by hand, remapping triggers, pieces, and data. Both are open-source, so self-hosting either is straightforward, but plan to rebuild workflows rather than import them.
How we compare: We compared Activepieces and n8n on licensing, AI capability, integrations, maturity, and pricing, using verified 2026 pricing and each project's documentation. Both are strong open-source options, so the winner depends on whether you value permissive licensing and simplicity or ecosystem maturity and AI depth. If you'd rather have your automations built and self-hosted for you, RapidDev can set them up.
Frequently asked questions
Are both Activepieces and n8n open-source?
Yes, and both are self-hostable for free. The difference is licensing: Activepieces uses the permissive MIT license, while n8n uses a fair-code sustainable-use license that limits offering it as a competing hosted service but allows free self-hosting and internal use.
Which has better AI features?
It depends on your needs. Activepieces puts AI agents on every tier, including free, and has strong MCP support. n8n has the deepest overall AI stack — RAG, vector stores, all major LLMs, and memory via LangChain — which is better for complex AI pipelines.
Which is more mature?
n8n. It's older, has a much larger community (174K+ GitHub stars), more documentation, and a longer track record. Activepieces is younger with a smaller community and fewer prebuilt enterprise connectors, though it's growing quickly.
Which is cheaper?
Both are free to self-host, so at scale your real cost is just the server. On cloud, Activepieces offers AI agents even on its free tier, while n8n's paid cloud gives more execution headroom. Neither has a clear price advantage — it comes down to whether you self-host and how you use AI.
Does Activepieces support MCP?
Yes, and it's a strength. Activepieces ships with 400+ MCP servers alongside its 680+ pieces, making it a modern, agent- and MCP-friendly choice. n8n supports AI agents too, but Activepieces leans harder into MCP out of the box.
Can I move workflows from n8n to Activepieces automatically?
No. There's no automatic converter. You rebuild each workflow by hand, remapping triggers, pieces, and data. Since both are open-source and self-hostable, running either is straightforward, but expect to recreate workflows rather than import them.
Still weighing your options?
- We build on all of these platforms
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