Agentic Index

Activepieces vs n8n (2026)

Activepieces and n8n are the two open source automation platforms, and the split is licensing purity versus ecosystem depth: Activepieces is MIT licensed with a genuinely open Community Edition and paid cloud from 5 dollars per active flow a month, while n8n uses a source available (fair code) license with a larger ecosystem, native AI nodes, and cloud from 20 euros a month annual. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.

Choose Activepieces for true open source and simple per flow pricing, n8n for the deeper automation ecosystem.

On the Agentic Index automation platform ranking, n8n clears the bar and Activepieces does not. n8n documents all five unattended run loop capabilities in full; Activepieces does not document testing, debugging and optimization in full. 11 of the 26 vendors in the lane clear it. See the automation platform ranking

This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Activepieces and n8n are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 956 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded

Choose Activepieces if

  • MIT licensing matters: true open source without fair code restrictions.
  • Per active flow pricing (5 dollars each, first 10 free) is simple to budget.
  • A lighter, cleaner builder fits your team's automation scope.

Choose n8n if

  • The larger node ecosystem and community cover more of your integrations.
  • Advanced AI and LangChain nodes are central to your workflows.
  • Fair code licensing is acceptable since you are not reselling the platform.
At a glance Activepieces n8n
Category Agent builder Agent builder
Entry price Free forever with 1,000 credits a month · Plus $20 a month (10,000 credits, up to 5 users) · Team $200 a month (50,000 credits, 25 users) · annual billing saves two months · Ultimate and Enterprise Control custom · MIT self host free From €20/mo (annual) · free self-host
Free / trial Free forever with 1,000 credits a month for one user, no card; the MIT licensed Community Edition self hosts free. Free trial (no card required)
Pricing confidence public exact public partial
Feature
A
Activepieces
n
n8n
Action & orchestration

Integrations & Tool Calling

Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools.

Full / Explicit Full / Explicit

Several hundred documented app nodes, HTTP, GraphQL, SSH and code nodes, community nodes and an MCP Client node give agents tools across every major system class.

Workflow Orchestration

Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps.

Full / Explicit Full / Explicit

If, Switch, merge, loop, wait and error handling nodes control flow, and sub-workflows can be attached to agents as tools.

Triggers & Channel Coverage

How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools.

Full / Explicit

Breadth spans app events, schedules, webhooks and human initiated interfaces across the full piece library, which is why this moves from P.

Full / Explicit

Sixteen named trigger nodes cover schedules, webhooks, chat, email, RSS, forms, files and MCP, and a durable scheduler keeps scheduled runs through restarts.

Knowledge & context

Knowledge Grounding & RAG

Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers.

Full / Explicit

Corrected N>F on 29 September 2026: the August None found no knowledge feature; the agent docs now document a vector-backed knowledge base over uploaded files and tables.

Full / Explicit

Vector stores, embeddings, retrievers and document loaders attach as sub-nodes, so the retrieval index can live in a customer-run database.

Memory & State Persistence

Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer.

Partial

Corrected F>P on 29 September 2026: the August Full rested on Tables holding state between runs, which is a database the builder uses rather than an agent memory layer meeting the Q78 clauses.

Partial

Memory attaches as a sub-node with session IDs, but the vendor states it does not persist between sessions unless an external chat-memory backend is wired in.

Control & trust

Human Oversight & Guardrails

Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls.

Full / Explicit Full / Explicit

Tools can require human approval before an agent runs them, a Guardrails node enforces policy, and workflow reviews gate publishing.

Security, Identity & Governance

RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy.

Full / Explicit

VERIFICATION FLAG: a SOC 2 Type II for the managed cloud is reported by several third party reviews but was not retrieved on any first party page; the site publishes no trust centre or compliance page. Graded F on the documented control surface, which is deep and named, with the attestation searched for and unconfirmed. Governance is paywalled to Team and Ultimate, which is a commercial gate rather than an absence of capability.

Full / Explicit

Annual independent SOC 2 audits, a public SOC 3 report and yearly penetration tests sit beside SSO, SAML and LDAP on Enterprise, role-based access on paid plans and a deep set of documented security controls.

Observability & Auditability

Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior.

Full / Explicit Full / Explicit

Every run is an execution the customer can open and filter, traced node by node to an OpenTelemetry collector, with Prometheus metrics and redaction for compliance.

Deployment & Data Residency

Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting.

Full / Explicit Full / Explicit

Self-hosting is documented across Docker, npm and seven named cloud providers, with an isolate configuration that stops the instance contacting n8n's servers, beside managed n8n Cloud.

Solution readiness

Prebuilt Agents, Templates & Packs

Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value.

Partial

Corrected N>P on 29 September 2026: the August None said no template library was offered as a product surface; the docs now document one, with categories but no named templates on the pages read.

Full / Explicit

A template library, a custom templates library for self-hosted instances, the AI Starter Kit and portable .n8np packages give ready-made starting points.

Platform extensibility

Model Flexibility & Routing

Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys.

Full / Explicit

Customer chooses the model and the provider, and can route through their own gateway; this is the buyer facing choice surface the F bar requires, not vendor internal routing.

Full / Explicit

Agents require a Chat Model sub-node chosen from OpenAI, Anthropic, Google Gemini, Mistral, Perplexity, Qwen Cloud, MiniMax, Moonshot Kimi or local models, and each step can use a different model.

APIs, SDKs & MCP Extensibility

Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems.

Full / Explicit Full / Explicit

The MCP Server Trigger makes n8n an MCP server for outside clients, beside a public REST API, custom and community nodes, portable .n8np packages and a documented OEM embedding path.

Testing, Debugging & Optimization

Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment.

Partial

Real customer facing testing of flows, but scoped to workflow debugging rather than agent evaluation; no scoring, regression suite or eval product.

Full / Explicit

Dedicated Evaluation and Evaluation Trigger nodes run quick tests against known cases in development and metric-based scoring in production.

Specialist automation

Browser & Computer Use

Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone.

No / Not documented

Downgraded for consistency with the axis rule: Comp is non zero only when the agent operates software exposing no programmatic interface. Everything here runs through APIs, and the prior P carried no basis at all.

Partial

The Airtop app node wires in a third-party cloud browser that clicks, fills forms, types and scrolls; n8n ships no browser of its own.

Pricing snapshot

Sourced from the Index pricing dataset · open each vendor's profile for full detail.

Pricing
A
Activepieces
n
n8n

Entry price

Lowest public entry point

Free forever with 1,000 credits a month · Plus $20 a month (10,000 credits, up to 5 users) · Team $200 a month (50,000 credits, 25 users) · annual billing saves two months · Ultimate and Enterprise Control custom · MIT self host free From €20/mo (annual) · free self-host

Pricing confidence

How public the numbers are

Public, exact Public, partial

Billing

Primary billing axis

Credit based: one credit per flow run regardless of step count, one per agentic action, and 2, 10 or 20 per AI step depending on model tier, or 1 with your own AI key. Plan sets seat count and feature access. runs

Variable cost

Workload / overage exposure

Low variable cost Medium variable cost

Free tier / trial

Try before you buy

Free tier
Free tierTrial

Buying motion

Self-serve vs sales call

Mixed Mixed

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