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Own project · Automation · 2025 — 2026
An agent system that researches while I sleep
Self-hosted infrastructure where an orchestrator hands out the work and n8n executes it: opportunity discovery, classification against criteria I define, and material production.
Infrastructure
Own NAS + VPS
Engine
Self-hosted n8n
Autonomy
Full except spending
Cost per run
€0
n8nDockerLLMQNAPVPS
Context
- I wanted to find out how far an agent system gets without continuous supervision, on my own infrastructure and with no surprise invoices.
The problem
- Cloud agent tooling charges per run and locks the data in.
- Manual market research doesn't scale: it's repetitive, and it gets abandoned within two weeks.
What I did
- Self-hosted n8n on Docker, split between my own NAS and a virtual server.
- Orchestration by a language model deciding what gets researched, with n8n executing the calls.
- An explicit autonomy rule: the agents decide on their own except where money is involved.
- Results classified against a context I define by hand, not against whatever the model finds interesting.
Result
- Continuous research running with no per-run cost.
- A reusable bank of prompts and flows that carries over into client work.