A complete learning and development environment for Tenstorrent hardware, shipped on the VS Code Marketplace: 53 interactive lessons from hardware detection through custom training, click-to-run commands instead of copy-paste, production-ready templates, live device telemetry in the status bar, and hardware auto-detection that tailors the guidance to whatever accelerator you actually have. Covers vLLM, TT-Forge, TT-XLA and TT-Metalium.

Real-time hardware monitoring for Grayskull, Wormhole and Blackhole silicon — top(1) if it had been designed to be looked at. The visualizations aren't decorative: every particle, star and colour shift maps to a real signal off the chip, read from the driver's sysfs attributes (power, die temperature, current, three clock domains, DDR training state, ECC counters, PCIe throughput, the ARC firmware heartbeat). An adaptive baseline learns your chip's idle state, so a 20 W card and an 80 W card read the same at the same fraction above idle.

The handbook for the Tenstorrent QuietBox 2 — first boot to confident daily use, organised as four paths (explore, run & build, tinker, customize) across 23 chapters. Unboxing and power-on, system access and administration, workloads and development flows, troubleshooting and recovery, then command and configuration reference.

A desktop UI for generating video, images and generative art entirely on your own Tenstorrent hardware — Wan2.2 and SkyReels for text- and image-to-video, FLUX.1 and Z-Image for stills, AnimateDiff for looping GIFs, plus a local LLM that writes the imaginative prompts to feed them. Nothing leaves the box. TT-TV turns the whole thing into an endless channel that queues its own prompts and plays the results.

The community directory for the Tenstorrent ecosystem — over 150 projects, tools, models and papers across 13 categories, each tagged community, affiliated or official. Taylor built and maintains the thing: entries are JSON files, the README and the site are both generated from them, and anyone can submit one through an issue template. The content is the ecosystem's; the machinery is his.

A small Llama-3-style language model built Tenstorrent-first — trained from random initialization on Blackhole hardware with ttml, packaged with tt-kernel, and served through the Tenstorrent vLLM plugin. The point isn't capability; it's showing end to end, without gaps, what a model designed for Tenstorrent from the first line looks like when it's trained, published, and served entirely on Tenstorrent tooling. Weights and the corpus recipe are public on Hugging Face.

A turnkey conference demo built on top of moritztng/tt-bio — the project that brings protein structure prediction to Tenstorrent hardware, running Boltz-2 and friends on Blackhole. This is the booth wrapped around it: watch a protein condense out of noise into its folded structure in real time, on the chips a few feet away. Four chips fold four molecules at once in a quad view, streaming the model's actual denoising trajectory a step at a time. Built to run unattended on a show floor all day.

Cooperative chip leasing for Tenstorrent boxes, so several agents — Claude Code sessions, aider, shell scripts, cron jobs — can share one machine without corrupting each other's runs. A lease says who is using which chips and why; the kernel says whether that's actually true, and when the two disagree the kernel wins. Let go and let Gozer.

A project-agnostic toolkit for authoring demo recordings and draft posts from inside any project. Point it at a TUI or CLI, describe the scenes in YAML, and it produces recorded footage (asciicast, GIF, MP4) alongside a first-draft Markdown post pairing each directive with the reaction it caused — so the recording machinery isn't reinvented per project.

AnimateDiff on Blackhole, in three phases: temporally coherent video on CPU with the full MotionAdapter, then spatial denoising accelerated by the TTNN UNet, then MotionAdapter temporal attention injected directly into the Blackhole denoising loop — no distillation, weights loaded straight from the upstream adapter. Eight frames at 25 steps, about 15 seconds a frame.

Multi-track MIDI generation from text prompts, running on Tenstorrent hardware. Exposes generation as a fully-featured MCP server — meaning any MCP-compatible client can compose music through it.

Zork I (and II, III, Hitchhiker's, Planetfall, Colossal Cave) running on a Blackhole accelerator across three hardware stages: a host-CPU Z-machine, the same interpreter with the game binary living in Blackhole DRAM, and finally a Z-machine kernel executing on the chip's RISC-V management cores. An optional remix layer has Llama-3.3-70B on Tensix rewrite every response as you play. 1977 interactive fiction as a way to explore what's actually programmable on the silicon.

Use your Tenstorrent hardware from a Mac with ease — a native bridge between macOS and TT accelerators. "Such is the stuff, from where dreams are woven."

Hardware topology visualizer — from individual Tensix chips up to full multi-chip clusters. Makes the physical architecture of Tenstorrent hardware legible at a glance.

Compile more than 100 models on tt-forge and display the results in a format built for demos. A fast way to show off the breadth of the Tenstorrent software stack.

A Warp terminal plugin for Tenstorrent — hardware status, model runner shortcuts, and workflow automation built into the terminal experience.

Discover, load, and benchmark models with a GUI and a TUI for tt-inference-server. The friendly face on top of raw hardware inference.

Sync your Quietbox's LED lighting to the live status of its accelerator chips. Real-time visual feedback from the hardware, written in Rust.

A developer-focused container image for Tenstorrent work. Batteries included: the full stack, tooling, and a development experience worth having.

Allow the claw machine to reward you with experience. A playful hardware integration that turns physical arcade interaction into something meaningful.

Six local-agent demos that run entirely on a Tenstorrent QuietBox 2 — no cloud, no API keys: a web-research agent, a codebase explorer, a multi-agent writing pipeline, a stateful dungeon master, and storyboard-to-pixelart and landscape-SVG generative pipelines. A working argument that 32B+ models make agentic tool-calling reliable where 7B models fall apart.

Defer FreeCiv AI and generative work to Tenstorrent hardware via TT-Lang-based kernels. An experiment in offloading game intelligence to real accelerator silicon.