tenstorrent/tt-metal
:metal: TT-NN operator library, and TT-Metalium low level kernel programming model.
⚡ Executive Summary & Quick Facts
Authoritative Sourcett-metal is tt-metal is an open-source project written in C++: :metal: TT-NN operator library, and TT-Metalium low level kernel programming model..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), tenstorrent/tt-metal has accumulated 1,712 GitHub stars and 766 forks. It is written in Python, licensed under Apache-2.0, and ranks #6,293 globally. It is actively maintained with the latest commit recorded on Oct 16, 2026.”
| Repository | tenstorrent/tt-metal ↗ |
|---|---|
| Primary Category | accelerator |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 1.7K stars · ⑂ 766 forks · #6,293 globally |
| Maintenance | ● Active (Last commit: Oct 16, 2026) · 6,386 open issues |
| Target Audience | Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 82/100 · Grade BYes, tt-metal is actively maintained. Continuous telemetry recorded the last code commit on Oct 16, 2026 (28 days ago). Supported by 1,712 stars and 766 community forks, this repository holds a calculated health index of 82/100, reflecting regular maintenance (28 days ago) and high open issue volume (6,386 open).
Star History
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Momentum
+9
STARS · LAST 30 DAYS
1
PER DAY
#915
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +9 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +10 | +38 |
tt-metal gained 9 stars in the last 30 days, about 1 a day, and now has 1.7K. It is about 4 years old and has averaged roughly 428 stars a year. It ranks #915 among Python repositories and #6,293 across all languages on GitHubRepo.
Trending Record
46
DAYS ON TRENDING
#1408
BEST RANK
Sep 25, 2026
FIRST APPEARANCE
Active
STATUS TODAY
tt-metal has maintained a continuous presence across global trending indexes, peaking at #1408. Below is the 30-day activity profile:
💡 Overview
tt-metal is an open-source project written in C++: :metal: TT-NN operator library, and TT-Metalium low level kernel programming model.
Engineered for speed, consistency, and developer ease, it solves common hurdles in accelerator, ai, cuda. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in C++ for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ git clone https://github.com/tenstorrent/tt-metal.git
cd tt-metal
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
C++20 compliant compiler (GCC 11+, Clang 13+, MSVC)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
tt-metal coordinates its core functionality through a modular C++ pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with tt-metal.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install tt-metal using your package manager: `git clone https://github.com/tenstorrent/tt-metal.git`
Initialize your project workspace or configuration file for tt-metal.
Import tt-metal into your codebase or invoke it directly from your terminal.
Execute your test suite or run `tt-metal --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
tenstorrent/tt-metal is currently ranked #6,293 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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Frequently Asked Questions
What does tt-metal do? +
:metal: TT-NN operator library, and TT-Metalium low level kernel programming model.
Is tt-metal actively maintained in 2026? +
Yes, tt-metal is actively maintained. The latest code push was recorded on Oct 16, 2026 (28 days ago). It holds a calculated Maintenance Health Score of 82/100 (B rating) with 1,712 stars and 6,386 open issues.
What language is tt-metal written in? +
The primary language is Python. Topics include: accelerator, ai, cuda, deepseek, gpu.
How many stars does tt-metal have? +
tt-metal has 1,712 stars and 766 forks on GitHub.
How does tt-metal rank among GitHub repositories? +
With 1,712 stars, tenstorrent/tt-metal is ranked #6,293 globally across all repositories tracked on GitHubRepo and #915 among Python projects.
What license is tt-metal distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.