Yes, I set up Karpathy's LLM wiki. Now what?
Karpathy's gist landed a few weeks back and the feed went into a feeding frenzy - people building tools, posting screenshots, comparing schemas. I set one up too. Mine got pretty good. Condensed knowledge across projects, structured pages, an index, a style reference, the works.
Then I sat with it and asked: what now?
A wiki is condensed knowledge. Karpathy's pattern is great at producing one. You ingest articles, papers, notes, transcripts; the LLM compresses them into structured pages; the corpus accumulates. The endpoint of the pattern is a beautiful, queryable knowledge base. You go to the wiki when you want to look something up.
But I don't want to look things up. I want things done.
The natural next step - and I think the one most of the wiki ecosystem isn't taking. It is letting the agent act on the condensed knowledge, not just maintain it.
The wiki stops being the destination and becomes the launchpad.
Concrete example. I run a content workflow this way. I drop raw material into the project, sometimes a rough idea pasted into chat, sometimes an article I want to riff on, sometimes a paper. The management agent condenses it into the wiki: notes go into ideas/, voice patterns extracted into the style reference, project state updated in the index. Standard Karpathy stuff.
Then the part Karpathy doesn't really cover: the agent acts. I input some ideas, draws on the condensed style and prior work in published/, and writes a draft into drafts/. I revise. Keepers move forward. Next time, those become the new voice calibration. The wiki isn't where the work is stored. It's where the work happens.
And action isn't only text generation. I have another project where the agent runs on a cron trigger every night, reads my calendar via .ical, condenses tomorrow's meetings into prep notes, and emails the brief to me by morning. Same pattern. Different action surface.
This is a real shift. In the consultative wiki, the agent's job is condensation. In the action wiki, condensation is step one of two. The harder step, and the one nobody in the gist ecosystem is really building for - is the agent reliably acting on what it just condensed, in ways the human can supervise without becoming the operator again.
That last part is where it gets interesting. Once the agent is acting, you need approvals, budgets, sandboxing, triggers, sub-agent dispatch. The wiki is the input layer. The action layer is everything else. You can't just bolt action onto a Karpathy wiki - you need a substrate that handles oversight at the action boundary, not the knowledge boundary.
Most of the tools I've seen built on the gist solve the knowledge half beautifully and leave the action half as an exercise. That's not a criticism of those tools. It's an observation about where the pattern stops short of being useful for actual work.