ai-agent

tt-metal: Accelerate AI Kernel Development with Proven Library

Name: tt-metal: Accelerate AI Kernel Development with Proven Library
Author: tenstorrent

tt-metal gives founders a high‑performance TT‑NN operator library and low‑level kernel model to speed up GPU‑based AI workloads. Ideal for teams building LLMs, diffusion or video generation on Tenstorrent hardware. 1.7k+ GitHub stars.

From the repo · “:metal: TT-NN operator library, and TT-Metalium low level kernel programming model.”

1,717 stars+11★ this week780 forksPythonGuide quality 9/10 · reviewed Oct 6Updated 10/22/2026100% free · open source

What it does

TT-Metal provides a low-level kernel programming model for founders to leverage GPU acceleration with C++

When to use it

•You need fine-grained control over GPU acceleration for a specific AI task
•Your application requires optimized performance and customization of neural network operators
•You're working with a team that prefers C++ for building high-performance computing applications

Ready-to-paste prompt

Compile an example TT-Metal program with `g++ -o example example.cpp -I./include -L./lib -ltt-metal`

Heads up: Ensure you have a compatible C++ compiler and GPU drivers installed, as TT-Metal requires specific versions for optimal performance

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/tt-metal && curl -fsSL https://workflowstacks.com/api/skills/tt-metal/claude-skill -o ~/.claude/skills/tt-metal/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

What's inside — free to inspect

No purchase needed

Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.

top-level files

folders

2321.1M

source size

Apache-2.0

license

Key files

.pre-commit-config.yaml

README.md

File tree

.cursor/

.github/

cmake/

contributing/

dockerfile/

docs/

infra/

model_tracer/

models/

releases/

scripts/

tech_reports/

tests/

third_party/

tools/

tt_metal/

tt_py_test_utils_common/

tt_stl/

tt-train/

ttnn/

.clang-format

.clang-format-ignore

.clang-tidy

.codechecker.json

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/tt-metal && curl -fsSL https://workflowstacks.com/api/skills/tt-metal/claude-skill -o ~/.claude/skills/tt-metal/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

Quick Actions

Details

Creator

tenstorrent

Language

Python

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