aiagent.app vs n8n: Operate the Work or Build the Engine
aiagent.app is a hosted workspace for agent work. n8n is a technical automation engine with code nodes, self-hosting, and run control.
Founder, Task Machine
An automation can execute every node successfully and still leave the agency with an operating problem. Someone must own the result, review exceptions, answer questions, and explain what happened to the client. The workflow canvas alone does not decide where that responsibility lives.
aiagent.app and n8n both draw multi-step graphs containing models, tools, branches, waits, and human input. aiagent.app is a hosted company workspace where agents create and participate in accountable work. n8n is an automation engine that technical builders assemble, operate, and debug.
How do aiagent.app and n8n compare?
| Dimension | aiagent.app | n8n |
|---|---|---|
| Core abstraction | Company workspace with agents, squads, workflows, Board, Inbox, context, and performance | Node-based automation workflow |
| Primary user | Operators and teams configuring agents to perform company work | Technical builders and automation teams wiring systems together |
| Workflow model | Agent, tool, approval, condition, loop, wait, and end blocks with typed handoffs and durable state | Triggers, application nodes, code nodes, agent nodes, branches, waits, sub-workflows, and execution logs |
| Human involvement | Board ownership, Inbox review, pending actions, approval steps, and team assignments | Wait, Form, and “Send and wait for response” patterns configured per workflow and channel |
| Context | Company Brain, knowledge, memory, skills, connections, and project context | Workflow inputs, credentials, data stores, memory and vector nodes, expressions, and external systems |
| Hosting | Vendor-hosted product connected to approved tools | Self-hosted Community Edition or n8n Cloud |
| Integrations | Publicly promotes more than 1,000 app connections | More than 400 official integrations and a larger set including community nodes |
| Commercial shape | Tiered hosted plans, a per-member Teams offer, provider keys, and managed builds | Cloud plans priced per execution or infrastructure cost for self-hosting |
Who does aiagent.app fit?
aiagent.app fits a company that wants agent work represented alongside the people and projects responsible for it. The same product contains the agent builder, visual workflows, scheduled Autopilots, Chat, Board, Inbox, Company Brain, Performance, and Audit Log. An operator can move from a one-off agent conversation to a durable process without leaving the workspace.
It also gives non-developers a vocabulary for control. Agent judgment belongs in open-ended steps. Required branches, waits, approvals, and outputs belong in a Workflow. Consequential actions pause with their exact arguments until a person approves or rejects them. Exceptions appear in Inbox with evidence and follow-through paths.
Its boundary is the hosted product. The team works within aiagent.app's available blocks, connection model, limits, and commercial plans. Bring-your-own provider keys can change model economics, but they do not turn the platform into a self-hosted automation engine.
Who does n8n fit?
n8n fits technical teams that need to own the automation layer. Its canvas supports deterministic nodes, JavaScript and Python, agent and model nodes, sub-workflows, webhooks, schedules, forms, and detailed executions. The Community Edition can run on infrastructure the team controls, while n8n Cloud removes that operational burden.
That control fits a workflow that is mostly a data and systems problem. A builder can transform data, call an unsupported API, inspect one node's input and output, replay failures, and tune execution economics. Per-execution cloud pricing can also be favorable when one run performs many actions.
The costs are builder time and engine ownership. Self-hosting requires deployment, upgrades, credentials, observability, and capacity planning. The Sustainable Use License is source-available rather than OSI open source and restricts some commercial resale patterns. Human approval exists through per-flow wait and response patterns, but the builder chooses the channel and assembles the surrounding operating experience.
Where do human decisions wait?
aiagent.app's Inbox is a company-scoped attention queue. Agent and Workflow activity can create an item with the proposal, evidence, run state, ownership, and next action. Reviewed items can become accountable project work. The person starts from the exception.
n8n can pause a run for a response through forms, waits, or messaging channels. That is flexible and close to the execution graph. As the number of workflows grows, the team must decide how those pauses become one coherent review practice. The product's main operating surface remains the workflow and execution view.
This difference matters when ten automations ask five people for judgment. n8n gives builders the primitives to route those requests. aiagent.app gives the company a shared place intended to receive them.
Who should own the automation infrastructure?
aiagent.app removes automation-engine operations and offers one integrated interface. An operator can configure an agent company without owning its runtime, while the visual blocks remain inspectable.
n8n gives the technical team more freedom over hosting, custom code, data flow, unsupported APIs, and deployment. It can operate as internal infrastructure rather than a company work product. That control is valuable when data residency, network topology, bespoke transformations, or automation volume outweigh the cost of running the engine.
Where does Task Machine fit?
Task Machine begins with a job-first Playbook and shared Tasks. A Playbook installs the Agents, Workflow, Skills, Documents, and setup values for a recurring outcome, while humans and Agents use the same ownership and handoff model.
Its decision path is the main distinction for an automation agency. Questions, approvals, proposals, failed verifier checks, and exceptions arrive in one Inbox with the actions needed to resolve them. Managed Cloud handles ordinary execution, and an optional Local Worker can run supported coding-agent tools beside local repositories, files, browsers, and CLIs.
Task Machine does not offer n8n's self-hosted engine, code-node flexibility, or integration depth. It also lacks aiagent.app's Company Brain, visual squad builder, and equivalent aggregate Performance surface. You keep 100% of your revenue, Task Machine takes no cut, and Task Machine never custodies your accounts.
Should your team own an engine or operate a job?
- Choose aiagent.app when operators want agents, squads, workflows, Board, Inbox, company context, and performance together in a hosted visual workspace.
- Choose n8n when technical builders need self-hosting, code nodes, detailed execution control, broad automation primitives, or favorable per-execution economics.
- Choose Task Machine when recurring work should begin as an installable Playbook, humans and Agents need one accountable Task system, and explicit verifiers should gate output.
These categories can work together. n8n can move deterministic data while an operating product owns the Task, judgment, and acceptance decision. Read Task Machine vs n8n and Task Machine vs aiagent.app for the direct comparisons.