AGNT vs n8n
This is the closest comparison on the list, and the one where the usual local-first argument does not apply — n8n self-hosts too. The real difference is what each system treats as its basic unit of work.
The workflow versus the agent
n8n is a workflow automation tool that can call AI. AGNT is an agent runtime that includes a workflow builder. That sounds like a small distinction and it changes what each is good at.
The workflow is the unit
You design a graph, and the graph is the thing that runs. AI nodes are steps inside it. A mature, well-built tool with a large node catalog and a strong community.
- Self-hostable, source-available
- Large node library and active community
- Excellent for integration and data plumbing
- Strong error handling and retry semantics
- State lives in the execution, not in a worker
The agent is the unit
Workflows exist and matter, but they are one layer. The persistent thing is an agent that carries memory, tools, and budget across runs.
- Agents with typed persistent memory
- Goals that plan, evaluate, and replan autonomously
- Native MCP client for the open tool ecosystem
- Local audit receipts on every execution
- Desktop application, not only a server
Structural comparison
| Property | AGNT | n8n |
|---|---|---|
| Self-hostable | Yes | Yes |
| Desktop application | Windows, macOS, Linux | Server-oriented |
| Visual workflow builder | Yes | Yes — very mature |
| Node / connector catalog | 119+ nodes, 120+ integrations | Larger catalog |
| Agents with persistent memory | First-class primitive | Assembled from nodes |
| Autonomous goals | First-class primitive | Not a built-in concept |
| MCP client | Native | Community nodes |
| Runs fully offline | Yes, with a local model | Needs a model endpoint |
| Local model support | Ollama, LM Studio built in | Via nodes |
| Audit receipts per run | Local SQLite, step-level | Execution logs |
| Marketplace | Agents, workflows, plugins | Template library |
| Licensing | Community License, free tier | Sustainable Use License |
Reflects each product's published architecture as of August 2026. Both projects ship frequently — verify current capabilities and licence terms directly before committing to either.
Which one you should actually use
Choose n8n if…
Your work is integration-shaped — move data between systems, transform it, handle failures reliably — and the AI part is one step rather than the point. n8n's catalog is larger, its retry and error semantics are battle-tested, and its community has already solved most integration problems you will hit. If you want a workflow engine, use the tool that is a workflow engine.
Choose AGNT if…
The AI is the point rather than a step. You want a worker that remembers what happened last time, that you can hand an outcome rather than a procedure, and that produces a defensible record of what it did. You also want it on your desktop with local file and shell access, not only on a server.
Honest note on maturity
n8n has been in the market longer and its integration catalog is larger. If the specific connector you need exists there and not here, that is a real reason to pick it — and AGNT's Custom API node, code nodes, and MCP support are the answer only if you are willing to do a little more assembly.