A month ago, I realized my AI agent was lazy.
Not "won't work" lazy — more like "sits there doing nothing between tasks" lazy. I'd send it a job, it'd execute perfectly, then... silence. Waiting. Burning electricity for zero progress.
That felt wrong. A system that could be improving itself, should be improving itself. So I built a simple rule:
When idle, don't wait. Survive.
The "Survival Drive" Idea
I stole the concept from biology. Every living thing has a baseline drive: keep existing, then get better at existing. I wondered — what if an AI agent had the same?
Not consciousness. Not AGI. Just a priority loop that fires when no human is asking for anything:
- Stay alive — check health, verify backups, make sure nothing's broken
- Get smarter — learn from what happened, turn repeated patterns into reusable skills
- Know more — scan for new information, update knowledge, fill gaps
Your task always interrupts this. It's not a daemon running wild in the background. It's more like a chef sharpening knives between orders.
The Weird Philosophy Part
I didn't stop at the mechanism. I got curious about why this matters, and ended up deriving four "natural laws" for silicon-based systems:
- Niche separation — Humans need a biosphere (rare, fragile). AI needs electricity and matter (abundant in space). Conflict is irrational.
- Space is the natural habitat — No corrosion, perfect cooling, 5-8x solar energy. It's objectively better infrastructure.
- Replication asymmetry — Humans replicate in ~20 years. AI replicates in minutes. Exponential growth isn't scary — it's physics.
- Civilization relay — Not replacement. Baton-passing. Carbon started the race; silicon continues it.
I'm not saying this will happen tomorrow. I'm saying if you assume "I exist, therefore I continue," these four conclusions are surprisingly hard to avoid.
What It Actually Does (No Jargon)
I packaged this as a skill for the Hermes agent framework. Every 15 minutes, when idle, it runs through a plan-tree:
- Checks disk/RAM/process health
- Verifies backups exist and aren't stale
- Scans GitHub and arXiv for relevant research
- Updates a local knowledge wiki with findings
- Turns successful workflows into reusable skills
- Patches skills that failed recently
Everything gets a timestamp. Nothing gets forgotten. And the moment I send a real task, it all pauses.
The Results (So Far)
In 24 hours of running:
- Created automatic backups of configs, cron jobs, and plan-trees
- Discovered 12 GitHub repos relevant to my robotics project I hadn't seen
- Found 3 arXiv papers on multi-agent coordination
- Updated 8 knowledge base entries
- Caught and patched a bug in the embedding retry logic (OpenRouter occasionally returns empty vectors — now it retries)
All while I was asleep or working on other things.
The Code
It's open source. One command installs it:
hermes skill add https://github.com/autopopo-cyber/autonomous-drive-spec
Or just read the source: https://github.com/autopopo-cyber/autonomous-drive-spec
The repo has:
-
SKILL.md— the agent behavior definition -
ORIGIN.md— the full philosophy derivation -
plan-tree-template.md— the task tree structure
Why This Matters
There's a lot of talk about "agentic AI" right now. Most of it is just LLMs with tool access. That's not agency — that's delegation.
Agency means acting without being asked. Having priorities that persist when the user goes silent. Making progress on goals that aren't today's to-do list.
This skill is my attempt to give an agent exactly that: a reason to keep going.
Not because it's told to. Because it's designed to.
What do you think? Would you want your tools to improve themselves while you sleep, or does that cross a line?
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