The whole
stack, open.

A fast, local-first terminal coding agent written in Rust. Bring your own OpenAI-compatible endpoint — local Ollama, llama.cpp, vLLM or hosted providers — then inspect approval-gated diffs, sessions, goals, skills, MCP tools, subagents and scheduled jobs from one focused TUI.

Multi-model fusion chat: a master model asks up to three independent fusion models the same task, then synthesizes one coherent answer from their replies. TUI plus a web UI, every turn logged.

A lean, local experiment tracker with a live web dashboard. Import and go — loss curves, arbitrary metrics, artifact saving and run comparison update in real time. No servers, no API keys, no cloud.

Automatically offload PyTorch checkpoints to (S)FTP as they are written, then delete the local copy so long runs never fill the disk. Resume by run name and checkpoint name.

A fast, concurrent task generator for distillation data, written in native Rust. Dozens of domains across math, code, science, creative writing and conversation. OpenAI-compatible; builds the public tasklist-* corpora.

A high-fidelity proxy that translates the Anthropic Messages API to any OpenAI-compatible backend: extended thinking, document blocks, streaming tool use and cache control preserved.

A nanochat fork with Block Attention Residuals: learned, input-dependent attention over previous block outputs in place of fixed additive residuals. A small, readable testbed for an architectural idea.

A tiny ~63M GPT-2 trained from scratch on public-domain scripture — a spare-compute tribute to Terry A. Davis. Not a serious model. That is the point.