# Adept vs n8n

Adept records 12,261 monthly visits with -46.3% month-over-month growth and Contact for Pricing pricing. n8n records 4,522,449 monthly visits with -7.4% growth and Freemium pricing.

| Metric | [Adept](https://openaitools.app/tool/adept) | [n8n](https://openaitools.app/tool/n8n) |
| :--- | :--- | :--- |
| Website URL | https://www.adept.ai | https://n8n.io |
| Categories | AI Agent, AI Workflow, AI Productivity Tools, AI Document Extraction | AI Workflow, AI Agent, No-Code&Low-Code, AI Developer Tools |
| Pricing Model | Contact for Pricing | Freemium |
| Monthly Visits | 12,261 | 4,522,449 |
| MoM Growth Rate | -46.3% | -7.4% |
| Primary Market | United States | India |
| Direct Visits | 3,793 | 1,565,199 |
| Review Score | 4.2 | 4.7 |
| Saved Count | 3 | 4 |
| Supported Platforms | Website | Website |

## Adept

Adept positions itself as an ML research and product lab: instead of stopping at chat-style answers, it builds models that act. The core idea is an "action transformer" that observes a user's screen and carries out multi-step workflows in existing software through natural-language instructions, so teams do not have to rebuild their tooling around a new interface.

The company's public work includes the ACT-1 model for taking actions in browsers, the openly released Persimmon family of permissively licensed language models, and engineering contributions such as FlashAttention research on efficient long-sequence transformer training. This mix of applied agent research and foundational ML work is what distinguishes Adept from single-purpose automation scripts.

Adept has been backed by substantial venture funding, including a $350M Series B round, and targets enterprise teams that want to delegate repetitive, high-volume processes — data entry, document handling, form filling and cross-application workflows — to an agent. Because the technology is delivered through enterprise engagements, exact commercial terms are not published on the website; teams generally reach out directly to discuss a pilot.

**Pricing & Plans:** Adept does not publish self-serve pricing. Commercial access is arranged through direct enterprise conversations and pilots, so cost depends on scope, deployment and support requirements.

- **Action transformers (ACT):** Models trained to observe a screen and carry out multi-step actions inside existing software, not just describe what to do.
- **Natural-language task delegation:** Users state a goal in plain language and the agent maps it to concrete clicks, keystrokes and navigation steps.
- **Persimmon open-source LLMs:** A permissively licensed language model family released publicly for research and developer use.
- **Cross-application workflows:** Automation spans browsers and desktop tools, so agents can bridge systems that were never designed to talk to each other.
- **Foundational ML research:** Published work on efficient transformer training and long-sequence attention underpins the product line.

**Strengths:** Research depth is unusual: applied agent work plus open foundational models; Agents act inside existing software, avoiding large migration projects; Publicly released Persimmon models give developers something concrete to test; Well-funded and backed by recognised investors

**Limitations:** No transparent self-serve pricing or instant sign-up; Public product and blog updates are sparse, so current capabilities are hard to verify; Enterprise-only motion makes it impractical for individuals or small teams

[Profile (Markdown)](https://openaitools.app/tool/adept.md)

## n8n

n8n is a workflow automation platform built for technical teams who want automation they can actually read and audit. Rather than hiding logic behind opaque configuration, every step stays open: you can see what a node does and explain the whole flow to whoever runs it. It combines a drag-and-drop visual builder with the ability to drop into code at any point, so simple tasks stay simple while complex ones remain possible.

A major focus of the current product is AI agents. You can connect any model, watch an agent work step by step in the same workflow view, open past runs, and constrain behaviour with structured inputs and outputs, rule-based automation and human-in-the-loop approval gates. That makes it practical to put agents into processes like refund handling, alert triage, lead qualification and security investigation without losing control.

n8n is open source and can be self-hosted on-prem or with Docker to keep data in your own environment, or used as a hosted service. Enterprise capabilities add SSO with SAML and LDAP, RBAC, encrypted secret stores, audit logs, log streaming to SIEM systems, isolated environments and Git-based control. Integrations span 500+ native services, arbitrary HTTP APIs and MCP connections to agents and coding assistants.

**Pricing & Plans:** n8n offers a free self-hosted open-source edition, a paid cloud service with a free trial, tiered paid plans, and enterprise pricing on request. Feature limits scale with plan tier, so check the official pricing page for current details.

- **Visual builder with code escape hatch:** Build automations with a visual node editor, then insert JavaScript or Python code nodes when you need custom logic.
- **500+ integrations and any API:** Connect to 500+ native services, any REST API via HTTP nodes, and any agent or coding assistant through MCP.
- **AI agents you can follow and trust:** Run agents alongside regular steps, inspect every decision, and add structured inputs, guardrails and human approval steps.
- **Observability and reproducible runs:** Watch workflows execute live, open past runs, replay a run with mocked data and re-run just the step that failed.
- **Self-host or cloud with governance:** Deploy on your own infrastructure with Docker or on-prem, or use the hosted cloud product, with version history and RBAC.

**Strengths:** Open source and self-hostable, keeping data in your own environment; Visual builder plus full code access for complex workflows; Strong observability: live runs, past-run inspection and step-level retries; 500+ integrations and generic HTTP nodes cover almost any service

[Profile (Markdown)](https://openaitools.app/tool/n8n.md)

## Frequently Asked Questions

### How do Adept and n8n compare in monthly traffic?

Adept has 12,261 monthly visits, while n8n has 4,522,449. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Adept has a month-over-month growth rate of -46.3%; n8n has -7.4%.

### How does pricing compare?

Adept: Contact for Pricing. Adept does not publish self-serve pricing. Commercial access is arranged through direct enterprise conversations and pilots, so cost depends on scope, deployment and support requirements. n8n: Freemium. n8n offers a free self-hosted open-source edition, a paid cloud service with a free trial, tiered paid plans, and enterprise pricing on request. Feature limits scale with plan tier, so check the official pricing page for current details.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Muse](https://openaitools.app/tool/muse-ai-1) | 45,751,822 | +228.3% | Contact for Pricing | Your personal AI agent from Meta that actually gets things done | [.md](https://openaitools.app/tool/muse-ai-1.md) |
| 2 | [Zapier](https://openaitools.app/tool/zapier-com) | 5,065,248 | +0.4% | Freemium, Free Trial, Paid | Unmatched ecosystem of app connectors and reliability, but significantly more expensive and lacks n8n's self-hosting freedom. | [.md](https://openaitools.app/tool/zapier-com.md) |
| 3 | [TraeWork](https://openaitools.app/tool/traework) | 2,785,249 | -7.8% | Contact for Pricing | ByteDance's AI-native workspace for natural-language task execution | [.md](https://openaitools.app/tool/traework.md) |
| 4 | [WorkBuddy](https://openaitools.app/tool/workbuddy) | 2,341,262 | +43.9% | Freemium | An AI work partner that turns a sentence into finished office deliverables | [.md](https://openaitools.app/tool/workbuddy.md) |
| 5 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | No-code builder for custom AI agents and workflows | [.md](https://openaitools.app/tool/mindstudio.md) |
| 6 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Outstanding open-source visual canvas for RAG pipelines and LLM agents, but less suited for general API integrations. | [.md](https://openaitools.app/tool/dify-ai.md) |
| 7 | [Eigent AI](https://openaitools.app/tool/eigent-ai) | 575,703 | +1.4% | Freemium, Free Trial, Contact for Pricing | Open-source desktop AI workforce that runs browser, file, and app tasks for you | [.md](https://openaitools.app/tool/eigent-ai.md) |
| 8 | [Dust](https://openaitools.app/tool/dust) | 547,217 | +1.8% | Contact for Pricing | Multiplayer AI where people and agents work side by side | [.md](https://openaitools.app/tool/dust.md) |
| 9 | [Taskade](https://openaitools.app/tool/taskade) | 539,714 | -9.4% | Freemium | Turn one prompt into live business apps, AI agents and automated workflows | [.md](https://openaitools.app/tool/taskade.md) |
| 10 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Powerful visual builder specifically tailored for complex AI agent workflows, but less mature for traditional enterprise automation. | [.md](https://openaitools.app/tool/gumloop.md) |

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Source: https://openaitools.app/compare/adept-vs-n8n

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)
