Own your AI stack — don't rent it by the token.
A line of open-source tools for running AI on hardware you control. The router that carries every model call, the agents that do real work, the firewall that guards every action, the datastores underneath. Each one useful on its own — together, a stack you own.
You don't rent your servers by the request. You don't rent your database by the row. So why rent your intelligence by the token?
Nineteen tools. One machine you own.
Not a pile of repos — a coherent stack, each layer open source and useful on its own. Every model call flows up through a router you own, gets real work done, passes a security layer that gates every action, and rests on datastores that run with or without a server. Pick one tool, or run the whole thing.
Each tool is MIT-licensed and useful on its own — the full set lives at github.com/askalf. On top of all of it sits askalf, a self-hosted AI workforce platform that runs the whole stack as one operation.
Own one layer first.
You don't adopt a stack on day one. Each tool is a door — start at the one that fixes your sharpest problem, and the rest are there when you need them.
This isn't a concept. The whole stack runs Sprayberry Labs — a working software studio — in production today, via the askalf platform: routing every model call, researching, browsing, guarding each action, and shipping the work. The tools are open because they were built to be used, not pitched.
Build on ground you own.
Pick a tool. Read the build notes. Run it on your own box.
Explore the stack →