skaft

skaft

we have AGI at home

Local-first AI tools, so the means of making don't belong to the labs.

↓ the toolkit
the toolkit

Three tools. One workshop.

ygg

the workbench

A local-first coding agent for macOS and Linux. Bring a model from your GPU or the cloud; keep branchable sessions, tools, themes, skills, and extensions on your machine.

git clone https://github.com/skaft-software/ygg.git
explore GitHub

hlid

the gate

One self-hosted endpoint across local llama.cpp/vLLM models and cloud APIs. Any agent dialect in, any backend out: route, translate only when forced, observe every request. One Rust binary.

docker run -p 8080:8080 -v ./hlid.toml:/app/hlid.toml ghcr.io/skaft-software/hlid:latest
GitHub docs

suitcase

the copilot

A private AI career copilot. Bring your own LLM; your data stays on your machine. Builds your profile, scores and tracks job leads, tailors materials, and never auto-submits anything.

curl -fsSL https://raw.githubusercontent.com/achuthanmukundan00/Suitcase/main/scripts/install.sh | bash
GitHub docs
mission

The oldest lesson still holds: whoever owns the picks and shovels owns the dig. Bubble or not, we refuse a world where a handful of labs hold the only tools that actually work.

skaft forges local-first AI infrastructure: sharp, self-hosted, and yours. Built for the garage, the dorm, the workshop bench. Not a platform you rent. A set of tools you keep.

Quality metal outlasts the winter. So do good tools.